Zipline Expands US Drone Deliveries as FAA Finalizes BVLOS Rules
Stripe
The United States risks losing the global drone industry to China unless regulators shift from prescriptive certifications to statistical, performance-based safety rules that allow rapid hardware iteration.
## Background
Published on YouTube by Stripe on September 10, 2025, this video features Zipline CEO Keller Cliffton in conversation with John Collison. According to the page description, the episode covers Zipline's operational journey from delivering medical aid in Rwanda to handling commercial Chipotle burrito airdrops, highlighting milestones like 115 million miles flown, the dynamics of US versus Chinese manufacturing, and the complexities of scaling to 99.9% reliability.
## TL;DR
Zipline began by tackling critical medical logistics and blood shortages in East Africa, eventually achieving a verified 51% reduction in maternal mortality in Rwanda. The company has since expanded into the United States, utilizing its new Platform 2 hybrid VTOL aircraft to navigate strict regulatory landscapes and drive explosive, demand-led growth for suburban home deliveries in Texas. By implementing aerospace-level redundancy with cost-effective components and centralizing its manufacturing in California, Zipline focuses on providing an automated, multimodal logistics platform rather than just selling drone hardware.
## Atmosphere & style
The conversation carries a casual yet deeply ambitious vibe, blending the relaxed energy of a 'cheeky pint' with the rigorous, high-stakes reality of aerospace engineering. Keller Cliffton speaks with an authentic, practical humility, openly sharing early operational embarrassments and technical failures while maintaining a fierce conviction in physical-world innovation. The dynamic between host and guest feels like a collaborative, forward-thinking peer exchange, shifting from humorous anecdotes about cartoonish skyhooks to a sobering, visionary outlook on the resurgence of American dynamism and hard tech.
## Key takeaways
- [00:00](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=0s) Zipline operates an automated medical logistics system across eight countries, logging over 110 million miles and completing over 1 million autonomous flights.
- [00:00](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=0s) The status quo of instant delivery is highly inefficient, utilizing 4,000-pound combustion vehicles to deliver packages that average only 5 pounds.
- [04:10](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=250s) The long delay in commercial drone delivery was caused by the 'trough of disillusionment,' where scaling real-world autonomous production and navigation proved vastly harder than building early prototypes.
- [07:41](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=461s) Zipline bypassed a fragmented US regulatory environment by partnering with Rwanda's centralized healthcare system, shifting their focus directly to blood logistics to combat maternal mortality.
- [11:35](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=695s) An academic study by the University of Pennsylvania empirically proved that Zipline's just-in-time delivery infrastructure caused a 51% reduction in maternal mortality in Rwanda.
- [15:33](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=933s) Just-in-time logistics eliminates the traditional trade-off between medical access and waste, reducing vaccine waste by 70% and stabilizing supply demand by eliminating local clinic hoarding behavior.
- [18:00](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=1080s) Zipline operates as a country-funded commercial service rather than an NGO-supported charity, ensuring financial sustainability and direct alignment with national ministries of health.
- [33:27](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=2007s) Zipline functions strictly as a logistics service platform rather than a hardware vendor, viewing autonomous aircraft merely as an enabling technology to move items from point A to point B.
- [28:57](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=1737s) Zipline achieves aerospace-grade safety at a fraction of traditional costs by building deep hardware redundancy using modern consumer cell phone components.
- [38:15](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=2295s) To scale to suburban American home deliveries, Zipline engineered Platform 2, a silent hybrid VTOL aircraft that stays 300 feet in the air and drops packages via an actively guided, high-precision tethered droid.
- [43:04](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=2584s) The FAA's newly proposed Part 108 framework aims to codify beyond visual line of sight (BVLOS) operations, moving past the restrictive Part 107 rules that previously capped commercial viability.
- [45:52](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=2752s) Traditional prescriptive type certification processes have bloated aviation development costs, making it 500 times more expensive to build an airplane today than in the 1930s.
- [54:24](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=3264s) Zipline is experiencing 25% to 30% week-over-week growth in the Dallas-Fort Worth metroplex, driven by deep integration with retail giants like Walmart and rapid consumer normalization.
- [58:25](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=3505s) Deploying physical infrastructure relies heavily on local municipal permitting rather than federal airspace preemption, which explains why forward-leaning regions like Texas outpace California in adoption.
- [01:01:33](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=3693s) Zipline maintains a 160,000 square foot vertically integrated facility in South San Francisco, keeping engineers and assembly workers co-located to enable a rapid 30-day software and hardware iteration cycle.
- [01:06:18](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=3978s) While China dominates high-volume manufacturing of cheap, plastic consumer quadcopters due to decades of historical hardware investments, the United States leads in complex systems integration, AI, and autonomous logistics.
- [01:11:30](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=4290s) Silicon Valley's scale of human ambition has shifted over the last decade from software and file-sharing startups to capital-intensive, physical-world hard tech like aerospace, robotics, energy, and longevity.
- [01:11:30](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=4290s) The ultimate advice for hard tech founders is to avoid prolonged R&D isolation, build something simple, push it into the real world quickly, and prioritize learning by doing.
## Detailed walkthrough
### [00:00](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=0s) The Core Philosophy of Zipline and the Problem of Instant Delivery
Zipline cofounder and CEO Keller Rinaudo Clifton (referred to in the transcript as Keller Clifton) begins by addressing the scale of his company's medical logistics network, which currently operates in eight countries. When asked why that number is not eighty, Clifton jokes that the interviewer sounds exactly like Zipline's board of directors, who constantly apply pressure to scale. He illustrates the sheer scale of global medical waste with an anecdote from early in his journey: walking out to the back of a medical warehouse and seeing "a field of boxes as far as the eye can see," which turned out to be an entire year's worth of expired medicine.
Clifton, a former professional rock climber who studied biochemistry and computer science at Harvard, founded Zipline in 2014 after a previous robotics startup. While many know Zipline for its pioneering medical deliveries in Rwanda and broader Africa, the company has expanded rapidly. It recently announced partnerships for commercial deliveries, such as Chipotle burritos in the United States, and has completed over a million autonomous flights, logging between 110 and 120 million miles flown.
The founding vision of Zipline in 2013 and 2014 was to build an automated logistics system for Earth. Clifton explains that in robotics, the ideal problem is "boring and repetitive," and logistics fits this description perfectly. Yet, logistics is the underlying infrastructure that dictates how people access healthcare, where they choose to live, and how much time they get to spend with their families instead of driving around to buy things.
Clifton challenges the modern status quo of instant delivery, pointing out the absurdity of using a 4,000-pound gas combustion vehicle driven by a human to deliver a package that weighs, on average, only five pounds. This "over-engineered" or "under-engineered" approach creates traffic, pollution, safety issues, and is phenomenally expensive and slow. While some companies pursue sidewalk robots as an alternative, Clifton strongly opposes this, arguing that sidewalks are the last spaces meant for humans. "My personal opinion is that we should be giving space back to humans, not taking space away from humans," he says, noting that children can no longer safely play street hockey in the roads like they used to.
- **Zipline Milestones:** Over 1 million autonomous flights and 110–120 million miles flown.
- **US Instant Delivery Market:** 5.5 billion instant deliveries occur annually in the United States.
- **Average Delivery Weight:** The average instant delivery package weighs approximately 5 pounds, yet is typically transported by a 4,000-pound vehicle.
---
### [04:10](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=250s) Why Drone Delivery Took a Decade to Arrive
The promise of drone delivery has felt "just around the corner" since the early 2010s, with concepts like "tacocopter" appearing on Hacker News in 2012 and Amazon making its famous delivery drone announcement in 2013. Clifton attributes this long delay to the classic "trough of disillusionment" that accompanies any advanced technology. After the initial hype, people realize the problem is incredibly difficult, the idea craters, and critics declare it will never work. "When people say it's a stupid idea and it's never going to work, that's when the actual hard work begins," Clifton explains.
Building a real-world autonomous system—whether cars or aircraft—requires solving a massive matrix of challenges beyond just safety and reliability. Companies must navigate complex regulatory frameworks, manufacturing, maintenance, supply chains, backend software systems, customer experience, and unit economics. Clifton echoes Elon Musk's famous maxim that "prototypes are easy, production is hard." In the drone industry, it is easy to buy an off-the-shelf quadcopter, duct tape a Snickers bar to it, fly it two miles in perfect weather, and get a journalist to write about it. However, scaling that to a reliable, commercial service is vastly more difficult.
Ultimately, Clifton notes that customers do not actually care about drones; what they really want is "teleportation." Whether Zipline is working with Walmart, the Cleveland Clinic, or international ministries of health, these clients simply want a system that can reliably move an item from point A to point B fast enough to save a life or transform an experience, without having to deal with any of the underlying technological complexity.
---
### [07:41](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=461s) The Early Days in Rwanda and the "Just Do Blood" Pivot
When Zipline started building its technology in 2013, the founders spent two years developing the initial version amidst immense skepticism. Clifton recalls begging investors for small $250,000 checks before Sequoia Capital stepped in to lead their Series A round. Because there was no regulatory pathway to operate autonomous drones at scale in the United States, Zipline had to look abroad. They sought a country with a national healthcare system—rather than a fragmented private system like the US—and a government entrepreneurial enough to move quickly.
This search led them to East Africa. Clifton describes showing up as a clueless 24-year-old to meet with the Minister of Health of Rwanda, pitching a grand vision of delivering blood, vaccines, cancer products, and more. The minister cut him off, saying, "Keller, shut up. Just do blood." She explained that 50% of blood transfusions in the country went to mothers experiencing postpartum hemorrhaging, and 30% went to children under five. Managing blood logistics is incredibly difficult because products like packed red blood cells, plasma, and platelets have highly specific storage requirements and short shelf lives—platelets, for instance, last only six days.
The Rwandan government gave Zipline a contract for 21 hospitals, and the first year was an operational disaster. The team had no experience integrating with a national healthcare system or a civil aviation authority, nor did they know how to build aerospace-grade hardware. They pulled constant all-nighters and flew back and forth between the US and Africa. For the first nine months, the system could only reliably serve a single hospital, Kabgayi Hospital, which was located a mere five miles away.
- **Sequoia Capital:** Led Zipline's Series A investment round.
- **Target Demographics for Blood Transfusions in Rwanda:** 50% for mothers with postpartum hemorrhaging; 30% for children under five.
- **Platelet Shelf Life:** Only 6 days from donor to patient.
---
### [11:35](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=695s) Scaling to a National Infrastructure and Proving the Impact
Despite the messy start, Rwanda proved to be the perfect partner. Clifton describes Rwanda as the "Singapore of Africa," characterized by a highly technocratic, aggressive, and entrepreneurial leadership team with an exceptionally strong civil service. Clifton recalls being on calls with ministers and chiefs of staff at 11:00 PM on Saturday nights to resolve issues.
After nine months of struggle, Zipline stabilized operations for Kabgayi Hospital and rapidly scaled to the other 20 hospitals in their initial contract by the end of year one. The government subsequently asked them to expand to 50, then 200, and eventually 500 hospitals. Today, Zipline is the sole distributor of over 500 health products in Rwanda's public healthcare supply chain and serves 5,000 hospitals and health facilities globally, making it the largest commercial autonomous system on Earth.
When asked why other countries did not immediately replicate this model by 2020, Clifton explains that it took about three years to fully stabilize and prove the system in Rwanda. The turning point came when major academic institutions published empirical proof of Zipline's impact. Notably, researchers from the University of Pennsylvania conducted a comprehensive study across the hospitals Zipline served, demonstrating a highly causal 51% reduction in maternal mortality due to the rapid delivery of blood products.
- **Rwanda Expansion:** Scaled from 1 hospital to 21, then to 500+ public health facilities, distributing over 500 types of health products.
- **Global Footprint:** Serves 5,000 hospitals and health facilities worldwide.
- **Maternal Mortality Impact:** A University of Pennsylvania study proved a 51% reduction in maternal mortality in areas served by Zipline.
[14:33](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=873s) The Impact of Just-in-Time Medical Logistics
The dramatic reduction in maternal mortality achieved by Zipline’s drone delivery system is driven by several factors. While the immediate availability of blood products is the primary driver, there is also a profound psychological shift: trust in the healthcare system increases. When mothers know that a local hospital actually has the necessary supplies to handle emergencies, they are far more likely to choose to give birth in a hospital rather than at home.
When Zipline was starting out, experts repeatedly told the founders that the idea was "stupid." Yet, if they had known they would achieve even a 5% reduction in maternal mortality, they would have considered it a massive victory. Achieving a 51% reduction is a testament to the value of ignoring the experts. Beyond maternal health, subsequent studies have shown a 70% reduction in vaccine waste and a 32 percentage point decrease in "zero-dose" children—those who had never previously received a single vaccine. Following these successes, Zipline rapidly scaled its operations around 2020, launching in Nigeria, Côte d'Ivoire, Ghana, and Kenya.
- **Maternal Mortality:** 51% reduction in Rwanda.
- **Vaccine Waste:** 70% reduction.
- **Zero-Dose Children:** 32 percentage point decrease.
- **Geographic Expansion:** Rwanda, Nigeria, Côte d'Ivoire, Ghana, and Kenya.
[15:33](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=933s) Balancing Access and Waste: Induced Demand and Hoarding
Traditional healthcare logistics systems are forced to balance access against waste. To maximize access, a system must push large quantities of medicine to the "last mile," which inevitably leads to massive waste because these expensive, cold-chain-dependent products have short shelf lives. Conversely, to minimize waste, systems centralize inventory, which leads to people dying because they cannot access medicine in time. Zipline’s just-in-time system bypasses this trade-off, allowing healthcare systems to simultaneously increase access and decrease waste.
This capability has induced new behaviors in healthcare systems. In Rwanda, Zipline now serves 400 to 500 "health posts"—a layer of care below primary facilities—bringing vaccinations much closer to where children live. Conversely, the reliability of the system has eliminated "hoarding behavior." Previously, because deliveries were unreliable and occurred only quarterly, local clinics would intentionally double their orders, anticipating that the government would cut their allocation in half. This "brinksmanship" destroyed any real demand signal in the system. With Zipline, clinics now order exactly what they need, knowing it will arrive immediately, which has actually caused overall demand numbers to stabilize or decrease.
- **Health Posts Served:** 400 to 500 in Rwanda.
- **Ordering Cycle:** Shifted from quarterly, inflated projections to real-time, precise ordering.
[18:00](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=1080s) The Business Model: Country-Led and Country-Funded
A key philosophy behind Zipline's decade of building infrastructure in Africa is sustainability and local ownership. While many projects on the continent are funded by US or international NGOs, Zipline operates on a commercial basis. They sign contracts directly with national ministries of health. The value proposition is simple: "We'll give you a better logistics system that delivers stuff faster and is cheaper than how you're currently moving things around."
This "better, faster, cheaper" model saves ministries of health millions of dollars while dramatically improving patient outcomes. The inspiration for this model came during an early visit to a donor-funded medical warehouse in an unnamed African country. The warehouse was highly disorganized, and out back lay a vast field of boxes labeled "from the American people" containing expired medicine that had gone to waste. Meanwhile, the surrounding country was suffering from severe medicine shortages. Zipline realized that the disconnect between donor funding and the actual customer was causing catastrophic inefficiencies that a direct, service-based contract model could solve.
- **Funding Source:** Directly funded by host-country governments/ministries of health rather than external NGOs.
- **Economic Value:** Saves millions of dollars per health system by eliminating product expiration and reducing transport costs.
[20:28](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=1228s) The Invisible Layer of Logistics and the Challenge of Scaling
Logistics is a "boring" background infrastructure that people in developed areas, like the San Francisco Bay Area, take for granted. It functions like running water—unnoticed until it is gone. However, approximately five to six billion people on Earth have virtually no access to reliable logistics. Without this foundational layer, running any public service, especially healthcare, becomes incredibly difficult and expensive. Instead of a unified system, many countries end up with highly fragmented, verticalized supply chains—one for HIV drugs, one for maternal health, one for tropical diseases—none of which run efficiently.
Currently, Zipline operates its medical logistics network in eight countries. When asked why that number is not 80, the founders note the immense challenge of scaling physical hardware safely. Zipline has flown over 120 million commercial autonomous miles with zero safety incidents. Achieving this required a disciplined, step-by-step approach to testing and validation. The system began scaling rapidly around 2020, growing from one country to eight, and from 100 health facilities to over 5,000 today. However, macroeconomic shocks, such as the US interest rate spikes in 2022, created "economic Armageddon" in Africa, temporarily complicating expansion.
- **Commercial Autonomous Miles:** Over 120 million miles flown.
- **Safety Record:** Zero safety incidents.
- **Scale of Growth:** Expanded from 100 health facilities to over 5,000 across 8 countries.
[24:06](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=1446s) Platform 1: Catapults, Skyhooks, and Robot Pilots
Zipline’s medical logistics system relies on its "Platform 1" aircraft, which is a fixed-wing, battery-powered drone. The drone is launched from a catapult with a distinct "shoomph" sound and flies to its destination, where it drops its payload via a small parachute. To return, rather than landing in the grass, the drone is snatched out of the air at 100 kilometers per hour using a "snap catch" system. This recovery mechanism, featuring big poles and a wire, is inspired by aircraft carriers and looks "like something out of a cartoon."
This high-speed recovery is made possible by hyper-precise guidance, navigation, and control algorithms. The aircraft features a tiny, one-centimeter tail hook on its back, which the automated system reliably catches every single time. While human pilots might feel a bit defensive about autonomous flight, robots are exceptionally good at flying vehicles. In aviation history, as detailed in Tom Wolfe's book *The Right Stuff*, early military test pilots rebelled against autonomous spacecraft because they did not want to be passive passengers like the monkeys sent before them. However, in modern aviation, the majority of aircraft crashes are caused by human error, making automation a massive safety advantage.
- **Aircraft Type:** Fixed-wing, battery-powered autonomous drone (Platform 1).
- **Flight Speed:** Approximately 100 kilometers per hour.
- **Recovery Mechanism:** "Snap catch" wire system catching a 1-centimeter tail hook.
[27:23](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=1643s) Airspace Safety and Vertical Integration
To ensure safety in shared airspace, Zipline employs a multi-layered deconfliction strategy. They do not worry about birds, as birds have excellent "detect and avoid" systems of their own and steer clear of the drones. To avoid manned aircraft, Zipline's drones fly well below the commercial aviation floor, operating at around 400 to 500 feet. Additionally, the drones are equipped with ADSB receivers to track other aircraft, utilize onboard cameras, and coordinate with aviation authorities through NOTAMs (Notices to Air Missions). This comprehensive safety profile has allowed them to secure regulatory approvals, including from the FAA.
The reliability of the aircraft stems from deep vertical integration. The drone consists of 43 major sub-assemblies, every single one of which is designed from scratch by Zipline. They draw inspiration from commercial aerospace engineering, studying how flight computers on advanced aircraft like the Boeing 787 are designed to ensure redundancy and safety.
- **Operating Altitude:** 400 to 500 feet (below commercial aviation airspace).
- **Deconfliction Technologies:** ADSB receivers, onboard cameras, and NOTAM coordination.
- **Manufacturing:** 43 major sub-assemblies, all vertically integrated and designed in-house.
### [28:57](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=1737s) Aerospace Redundancy on a Cell Phone Budget
The architecture of traditional aerospace systems is fundamentally sound, but it is often built on "multimillion dollar like 20-year-old components." Zipline’s core engineering strategy is to take those proven aerospace paradigms—such as failing over and building redundancy into every flight-critical system—and implement them using modern cell phone components. This approach achieves the same level of safety at roughly "one thousandth of the cost."
To ensure the aircraft can always fly itself home, Zipline builds extensive redundancy into the hardware. The battery has redundant nodes so that if one fails, the vehicle keeps flying. The flight compute architecture is also redundant; if the primary flight computer fails, it immediately fails over to the second. The wiring is so robustly redundant via a dual CAN bus that a person could literally "reach into the aircraft, while it's flying and cut any wire with scissors" without bringing the plane down. While they do not actually expect anyone to attack the planes with scissors mid-flight, this extreme level of redundancy is vital for surviving real-world flight hazards like vibration, which can easily shake connectors loose.
- **Redundant battery nodes:** Allows flight home even if a battery node fails.
- **Redundant flight computers:** Seamless failover to a secondary computer.
- **Redundant CAN bus:** Protects against the loss of any single wire due to vibration or damage.
- **Vibration resistance:** Redundancy is designed primarily to combat connectors shaking loose, a core failure mode in aviation.
### [30:12](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=1812s) The Hard Road to 99.9% Reliability
Transitioning from a working demo to a highly reliable production system is where the real engineering challenges lie. In hardware, "everything that can go wrong does go wrong." Early design iterations of Zipline's Platform 1 had flaws that seem obvious in retrospect. For example, the team initially placed the GPS unit on the flight computer. Because they swapped batteries between flights to achieve a rapid three-minute turnaround, the flight computer would lose power during the swap. When a critical, life-saving order came in and every second counted, the newly powered-up GPS would take up to 20 minutes to reacquire satellite signals before the vehicle could pass pre-flight checks and launch.
To solve this, Zipline iterated and put the GPS unit directly on the battery itself. While this increased the bill of materials (BOM) cost—requiring two GPS units per aircraft because one is always sitting on the battery charger—it successfully doubled the cycle time of the aircraft. Another unglamorous but critical lesson involved fasteners. The initial version of Platform 1 utilized 43 different kinds of fasteners, making inventory management at remote distribution centers a nightmare. The subsequent version was redesigned to use just two total types of fasteners across the entire aircraft.
- **GPS on the battery:** Solved the 20-minute satellite reacquisition delay during rapid battery swaps.
- **Fastener consolidation:** Reduced fastener variety from 43 types to just 2 to simplify field maintenance.
- **Learning by doing:** Iterative design based on real-world operational friction rather than theoretical planning.
### [32:27](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=1947s) Designing Custom Servos and the "Automotive Grade" Holy Grail
When asked what component has been the most frustrating, Keller points directly to servos—the actuators that convert electrical power into mechanical movement. Finding high-quality, cost-effective servos was nearly impossible because the market was highly polarized. On one end are cheap, unreliable servos used in consumer toy drones. On the other end are over-engineered, German-designed aerospace servos that cost $1,000 each. Zipline needed "automotive grade" components: a sacred tier of manufacturing that delivers extremely low cost alongside exceptionally high quality and reliability.
Because a servo that could reliably last for a million cycles at a reasonable price point did not exist, Zipline designed its own custom servo from scratch. Over time, this philosophy of vertical integration has led Zipline to design almost every major subassembly of the aircraft from the ground up. Keller notes that even highly advanced military drones suffer from poor reliability, citing a statistic that "50% of US military drones have crashed due to operator error," with operators sometimes not even realizing they were flying upside down. Zipline's custom, highly automated hardware avoids these pitfalls.
- **Custom servos:** Designed from scratch to survive a million cycles cost-effectively.
- **Automotive grade target:** High reliability paired with low-cost mass production.
- **Vertical integration:** Almost every major component of the aircraft has eventually been redesigned in-house.
### [33:38](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=2018s) Why Zipline is a Logistics Platform, Not a Drone Seller
Historically, aviation companies like Boeing and United Airlines operated as a single, vertically integrated entity (the "airframer and the airline") before antitrust laws forced them to split. Zipline currently acts as both, but Keller has no interest in selling their drones as standalone hardware. "None of our customers care about drones," he explains. Clients like Walmart, Cleveland Clinic, and the government of Rwanda do not want to manage a fleet of autonomous aircraft; they simply want a fast, reliable delivery service.
Furthermore, Keller does not believe selling hardware is a good business model. He compares drones to the early internet: just as Amazon used the internet as a technology platform to build a retail giant, Zipline uses drones as a technology platform to build a global automated logistics system. Their ultimate goal is to build "the first logistics system that serves all people equally." If a superior technology like teleportation were invented tomorrow, Zipline would happily switch to it. Keller even hints at future expansion into ground-based modalities, noting that a truly integrated, modern logistics provider like UPS must eventually become multimodal.
- **No hardware sales:** Zipline sells the service, not the drone, because customers want solutions, not fleet management.
- **Logistics focus:** Drones are viewed merely as an enabling technology platform.
- **Multimodal future:** Zipline may eventually expand into ground-based logistics to handle deliveries that cannot go by air.
### [37:03](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=2223s) Stripe Sponsor Break: Stablecoins as a Global Technology Platform
The host draws a parallel between Zipline's operational trajectory and the adoption of financial technologies. Just as drone delivery, mobile payments, WhatsApp, and QR codes gained traction in emerging markets like Africa before scaling globally, stablecoins are following the same path. Stripe is heavily investing in this space, having recently acquired the stablecoin orchestration platform Bridge and the crypto wallet infrastructure provider Privy.
Stripe is already seeing significant stablecoin adoption among major enterprises. They are partnering with Ramp to build a global, stablecoin-backed spend card, working with SpaceX on global treasury management, and helping Shopify enable worldwide merchant payments. Startups like Chipper Cash and Dollar App are also using stablecoins to offer US dollar access to users in Africa and Latin America. Far from being a "flash in the pan," stablecoin supply has grown by 50% in the past year, proving itself as a programmable, low-cost, and high-throughput financial system.
- **Stripe acquisitions:** Bridge (stablecoin orchestration) and Privy (crypto wallet infrastructure).
- **Enterprise partners:** SpaceX (treasury), Shopify (global payments), and Ramp (spend cards).
- **Market growth:** Stablecoin supply increased by 50% over the last year.
### [38:15](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=2295s) Introducing Platform 2: Silent, High-Precision Suburban Delivery
For a decade, Zipline operated Platform 1 in Rwanda using a fixed-wing, catapult-launched aircraft that dropped packages via paper parachutes and was recovered by a sky hook. While this "unfancy" system successfully scaled to 1.5 million flights—covering 100 million commercial autonomous miles, or "going to the Moon and back 200 times"—suburban American home delivery demanded a completely different design paradigm. US customers wanted a system that could integrate directly with existing commercial buildings, operate autonomously without dedicated distribution centers, and, above all, run silently.
To meet these demands, Zipline designed Platform 2, a hybrid vertical takeoff and landing (VTOL) fixed-wing aircraft. To solve the noise issue associated with buzzing drones, the main aircraft hovers quietly at 300 feet above the home—making it virtually inaudible. It then lowers a small, motorized payload "droid" down on a long tether. This droid actively controls its own position on the X and Y axes to counteract wind and environmental drift, allowing it to deposit packages with "dinner plate level accuracy" directly onto a driveway or doorstep. Investors and customers alike describe the experience of watching a package zip down from a football field above as "fundamentally jaw-dropping" and straight out of science fiction.
- **Platform 1 vs. Platform 2:** Platform 1 uses catapults and parachutes; Platform 2 uses VTOL and a tethered droid.
- **Hover height:** The main aircraft stays 300 feet up to remain nearly silent to people on the ground.
- **Active guidance droid:** The tethered delivery droid adjusts its X and Y coordinates to achieve "dinner plate level accuracy" in high winds.
[43:04](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=2584s) The Transition to Platform 2 and the Regulatory Landscape
The transition from Platform 1 to Platform 2 was driven by the practical realities of suburban delivery in the United States. While Platform 1's catapult-and-parachute system worked brilliantly in rural areas, it was impossible to reliably fit a catapult into a standard suburban Chipotle parking lot. Furthermore, while Platform 1 was accurate, Platform 2's tethered droid system offered the extreme precision required for tight residential spaces. Interestingly, the very first Walmart store Zipline integrated actually utilized Platform 1. Customers loved the novelty of having their packages "bombarded" down to them from 30 feet in the air, which served as a clear signal of the immense demand for autonomous delivery.
For a long time, the primary bottleneck for commercial drone delivery in the United States was the Federal Aviation Administration (FAA). Under the old Part 107 rules, operations were strictly limited to visual line of sight with light drones under 55 pounds, which is commercially unviable. Recently, the Secretary of Transportation and acting head of the FAA announced the new Part 108 notice of proposed rulemaking for beyond visual line of sight (BVLOS) operations. This new framework aims to codify what Zipline has already been doing for the last three to four years on an ad hoc basis through regulatory exemptions. Zipline was able to secure these exemptions by presenting the FAA with a compelling track record: 100 million commercial autonomous miles with zero safety incidents.
- **Part 107 Limit:** Restricted to visual line of sight and drones under 55 pounds.
- **Part 108:** The newly proposed rulemaking to codify commercial BVLOS drone operations.
- **Zipline Safety Record:** 100 million commercial autonomous miles with zero safety incidents used to secure FAA exemptions.
[45:52](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=2752s) The Pain of Type Certification and the Need for Performance-Based Rules
The traditional process of "type certification" for aircraft is a massive blocker for modern hardware companies. It typically takes five to ten years because regulators insist on independently verifying every single component against prescriptive standards. This slow-moving process is "dead on arrival" for a company like Zipline, which relies on rapid, progressive hardware development and fast iteration. Fortunately, around 2020, the FAA realized that the United States was at risk of becoming a laggard in a critical global industry and began partnering more dynamically with innovators.
To illustrate how bloated aviation development has become, the entire design cost for the legendary DC-3 passenger airliner in the 1930s was roughly $2.5 million to $3 million—about $75 million in today's dollars—and went from a napkin sketch to a finished aircraft in about two years. In contrast, the Boeing 787 took 20 to 25 years and cost $32 billion to develop. It has literally become 500 times more expensive to build an airplane today. While modern planes are more complex, the primary drivers of this cost inflation are prescriptive, subsystem-by-subsystem certification processes and a zero-tolerance approach to risk. If given control of the FAA, the solution would be to transition to performance-based regulations where the regulator sets a statistical level of safety, allowing companies to self-certify and innovate on how they meet that threshold.
- **DC-3 Development Cost:** ~$2.5M to $3M ($75M adjusted for inflation) over 2 years.
- **Boeing 787 Development Cost:** $32 billion over 20 to 25 years.
- **Regulatory Parallel:** The Nuclear Regulatory Commission (NRC) was established in 1978 to ensure safety, but the extreme regulatory burden contributed to a near-total halt in new US nuclear power plant construction.
- **SpaceX Advantage:** SpaceX succeeded by bypassing decades-old certified semiconductor architectures and using modern microcontrollers, whereas legacy competitors like ULA avoided updating flight computers due to the pain of recertification.
[54:24](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=3264s) Explosive Growth and "Science Fiction Becoming Entitlement" in Dallas
Zipline is currently experiencing explosive growth in the Dallas-Fort Worth metroplex, expanding rapidly from its initial US launch site in Bentonville, Arkansas. The company is integrated with approximately 10 Walmart Supercenters in the Dallas area and is launching a new one every single week. Each store operates with a fleet of 8 to 20 Zips, meaning hundreds of drones are now active in the region. Each drone has the capacity to perform high tens of deliveries per day, giving the system a current capacity of thousands of daily deliveries. Zipline's ultimate goal is to scale this to 10,000 deliveries a day in Dallas alone.
Over the last three months, the service has been growing at an astonishing rate of 25% to 30% week over week. The demand became so overwhelming that Zipline had to turn off all marketing, including in-app notifications and field service marketing, due to capacity constraints. Despite zero active demand generation, the service continues to shatter records, with a recent Saturday setting an all-time daily delivery record, only to be beaten by another 20% the very next day. This rapid adoption mirrors the Waymo experience in San Francisco, demonstrating how quickly "science fiction becomes entitlement." On day one of a new launch, locals will sit on the hoods of their cars to watch the drones operate; by day two, autonomous delivery is just a normal, expected part of daily life.
- **Dallas Footprint:** Integrated with ~10 Walmarts, adding 1 new store per week.
- **Fleet Size:** 8 to 20 Zips per Walmart store.
- **Growth Rate:** 25% to 30% week-over-week growth for three consecutive months.
- **Target Capacity:** Scaling toward 10,000 deliveries per day in the Dallas area.
[57:11](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=3431s) Induced Demand and the Future of Delivery in Texas
When autonomous aircraft are first introduced to a community, people take note of the high-volume, nonstop arrivals and departures. However, within just three days, the novelty wears off, and residents go about their normal lives as if the technology has always been there. This rapid normalization is accompanied by a massive wave of induced demand. For example, a 78-year-old county clerk who has held her office for 40 years ordered from Zipline 340 times in a single year. She demonstrates the process on her iPhone with practiced ease—adding items to her basket, double-clicking for Face ID, and paying with Apple Pay, knowing her delivery will arrive in exactly eight minutes.
Busy mothers also report that the service "buys me back like three or four hours a week," allowing them to spend time with their children instead of sitting in traffic to run errands. Many families now average three to four autonomous deliveries a week. They still make one large, traditional grocery run, but they rely on Zipline for "top-up visits" when they need last-minute ingredients for dinner or unexpected items for guests.
The conversation turns to why this futuristic service is thriving in Texas rather than California, despite federal preemption of airspace theoretically making all states equal. The host asks, "Why can we not have this in California? Why are you in Texas and not California?" The explanation lies in local partnerships and permitting. While airspace is federal, ground infrastructure—such as the launch and recovery bases—requires local permits, much like Tesla's Supercharger network. Some cities and states aggressively court new technology, high-paying jobs, and infrastructure, while others are more ambivalent or bogged down by local resistance. The host points to San Francisco's past "war on electric scooters" and the public backlash against Cruise autonomous vehicles as examples of local friction.
- **78-Year-Old Superuser:** Ordered 340 times in one year using Apple Pay and Face ID.
- **Average Delivery Time:** Approximately 8 minutes.
- **Household Usage:** Families use the service 3 to 4 times a week for "top-up" deliveries.
- **Ground Permitting:** Local municipal permits are required for ground infrastructure, dictating where Zipline can deploy.
- **Dallas vs. San Francisco:** Dallas is highly dense and forward-leaning, with local governments actively welcoming rapid infrastructure builds. One board member witnessed a charging site go from a hole in the ground to fully operational in just 12 days.
---
[01:01:33](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=3693s) Vertical Integration and Manufacturing in South San Francisco
Zipline's aircraft manufacturing facility is located in South San Francisco, just down the road from where the interview is being recorded. To achieve the rapid engineering iteration typical of software companies but notoriously difficult in hardware, Zipline relies on full vertical integration. By placing the design engineers, manufacturing engineers, and assembly line workers in the same physical space, hardware changes can be rolled directly onto the production line. While hiring in South San Francisco is more expensive than in places like Nevada, the speed of product evolution makes it an easy trade-off.
The facility was recently expanded to 160,000 square feet. At full scale, running three shifts on a 24/7 schedule, it will be capable of producing roughly 50,000 aircraft per year. This volume is enough to support near-national scale in the United States, considering a medium-sized city requires only about 1,000 aircraft. While 50,000 units is small compared to iPhone production, it is astronomical compared to traditional aviation manufacturing, such as Cessna.
- **Facility Size:** 160,000 square feet in South San Francisco.
- **Production Capacity:** Capable of building 50,000 aircraft per year at scale.
- **City Requirement:** A medium-sized city requires roughly 1,000 aircraft.
- **Shift Schedule:** 24/7 operations with three shifts.
---
[01:03:24](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=3804s) The Three Layers of Safety and Testing
Zipline has flown 120 million commercial autonomous miles with zero safety incidents. When asked why others cannot easily replicate this, the speaker notes that designing something truly safe is incredibly difficult, comparing it to building a reusable rocket: "It turns out some of these things are hard to do." Zipline achieves its safety record through practical problem-solving divided into three distinct testing and validation layers.
The first layer is pure software testing, which runs at 10 to 100 times real-time speed. This layer tests autonomy, computer vision, guidance navigation controls, communications, and cloud services. While traditional aerospace giants like Boeing can take up to three years to deploy a critical software update, Zipline releases a new software version to its entire global fleet every 30 days, containing dozens of bug fixes, performance improvements, and new features. The second layer is Hardware-in-the-Loop (HITL) testing, where the physical avionics of the aircraft are assembled on shelves and connected to a simulated environment. HITL testing catches roughly 95% of potential issues before the software ever reaches a physical drone. The final layer consists of dedicated test sites where hundreds of aircraft fly 24/7, overseen by human operators.
- **Safety Record:** 120 million commercial autonomous miles with zero safety incidents.
- **Software Update Cadence:** Global fleet updates are pushed every 30 days (compared to up to 3 years for traditional aviation).
- **HITL Testing:** Catches 95% of hardware/software integration issues in simulation.
- **Test Sites:** Operate 24/7, even at 3:00 AM on weekends.
---
[01:06:18](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=3978s) American Dynamism and the Global Drone Supply Chain
The discussion shifts to "American dynamism" and the reemergence of domestic manufacturing. A major concern in Washington D.C. is that the United States has outsourced its drone supply chain to China. To put a fine point on it, "In a week, China makes more drones than the US makes in a year." This disparity is particularly striking given how the war in Ukraine has demonstrated that modern warfare is heavily drone-determined, making traditional human-centric battlefields obsolete.
However, there is a distinction between the types of aircraft being manufactured. China's massive volume advantage is concentrated in cheap, plastic, $1,000 quadcopters, such as those made by DJI. The systems that will ultimately matter for logistics and defense are far more complex, requiring deep integration of advanced hardware, software, and AI. In these high-value areas, the United States maintains a strong lead.
China's manufacturing dominance is a direct result of Apple's massive historical investments in Shenzhen, which created an incredibly agile supply chain capable of building phone-adjacent products like drones and electric vehicles. The host notes that Apple's direct investment in China was larger, in inflation-adjusted terms, than the Marshall Plan in Europe. While China possesses unparalleled manufacturing scale, the US possesses the lead in AI and complex systems integration, leaving the ultimate winner of the industry undecided.
"The bad news is like, yeah, it's true. You know, China has like massive manufacturing advantages and massive scale in this area that the US does not currently have. But that is mainly for like, you know, plastic quadcopters that cost $1,000."
[01:10:38](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=4238s) The Loss of Domestic Manufacturing Capability
The speaker reflects on the long-term consequences of corporate decision-making regarding manufacturing, noting how corporations often prioritize easy, short-term profit maximization over strategic, long-term success. With the benefit of hindsight, it seems it would not have been incredibly difficult for a company like Apple to achieve its corporate goals while still maintaining domestic manufacturing dominance, or at least preserving it as a strategic option.
Instead, the current reality has become highly precarious. The speaker points out that the United States has reached a point where "we don't have the ability to build our own smartphones period." Furthermore, depending on geopolitical developments with Taiwan, the country may soon lose the ability to even build modern computers, a realization he describes as "spooky."
[01:11:30](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=4290s) The Evolution of Silicon Valley Ambition and Advice for Hard Tech Founders
When reflecting on the rise of "American dynamism," the speaker recalls moving to the Bay Area in 2013 to build Zipline. At the time, the most exciting and ambitious company in Silicon Valley was Dropbox, a file-sharing startup valued at around $5 billion. He notes that in just 12 years, the scope and scale of human ambition has radically increased. Today, the tech landscape is defined by massive, physical-world endeavors like Tesla, SpaceX, Stripe, OpenAI, nuclear fusion power plants, and Brian Armstrong's work with NewLimit, which is actively trying to "make humans immortal."
For hard tech founders starting out today, the speaker's primary advice is to avoid getting stuck in an R&D lab or a bunker. Instead, the goal should be "designing something like incredibly simple and getting it into the real world quickly and learning by doing." He admits that the Zipline team never viewed themselves as the smartest or the best-funded, but they possessed a deep conviction and practical focus. They forced themselves to launch an early version of their product to deliver to 21 hospitals—a version so simple that the team itself was embarrassed by the delivery experience—yet it scaled rapidly because it got into the real world.
- In 2013, Dropbox was considered the pinnacle of Silicon Valley startup success with a $5 billion valuation.
- Modern hard tech frontiers now include commercial space travel, artificial general intelligence, life extension, and nuclear fusion.
- Zipline's early success was driven by a highly specific, practical mission: serving 21 hospitals with an initial product that was simple enough to cause the founders embarrassment.
## Notable quotes
> [00:00](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=0s) My personal opinion is that we should be giving space back to humans, not taking space away from humans — Keller Clifton
> [04:10](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=250s) When people say it's a stupid idea and it's never going to work, that's when the actual hard work begins — Keller Clifton
> [07:41](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=461s) Keller, shut up. Just do blood. — Minister of Health of Rwanda
> [28:57](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=1737s) reach into the aircraft, while it's flying and cut any wire with scissors — Keller Clifton
> [33:38](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=2018s) None of our customers care about drones — Keller Clifton
> [33:38](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=2018s) the first logistics system that serves all people equally — Keller Clifton
> [57:11](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=3431s) Why can we not have this in California? Why are you in Texas and not California? — John Collison
> [01:06:18](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=3978s) In a week, China makes more drones than the US makes in a year. — Keller Clifton
> [01:06:18](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=3978s) The bad news is like, yeah, it's true. You know, China has like massive manufacturing advantages and massive scale in this area that the US does not currently have. But that is mainly for like, you know, plastic quadcopters that cost $1,000. — Keller Clifton
> [01:10:38](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=4238s) we don't have the ability to build our own smartphones period — Keller Clifton
> [01:11:30](https://www.youtube.com/watch?v=skdXV9Bi7AQ&t=4290s) designing something like incredibly simple and getting it into the real world quickly and learning by doing — Keller Clifton
## Mentioned
Zipline, Keller Rinaudo Clifton, John Collison, Stripe, Chipotle, Walmart, Cleveland Clinic, Sequoia Capital, Kabgayi Hospital, University of Pennsylvania, The Right Stuff, Tom Wolfe, Boeing 787, FAA, Bridge, Privy, Ramp, SpaceX, Shopify, Chipper Cash, Dollar App, DC-3, Nuclear Regulatory Commission, ULA, Waymo, Tesla, Cruise, Cessna, DJI, Apple, Taiwan, Dropbox, OpenAI, Brian Armstrong, NewLimit
Zipline co-founder and CEO Keller Rinaudo Clifton contends that automated drone delivery succeeds by treating flight as an invisible logistics service rather than selling hardware, eliminating the environmental and financial costs of conventional ground transport. He argues that operational deployment—scaling from national medical supply chains in East Africa to US suburban commercial deliveries—demonstrates that high safety and reliability can be achieved through deep vertical integration and rapid real-world iteration.
Reimagining Last-Mile Delivery as an Invisible Service (0:00)
Clifton challenges modern parcel logistics, pointing out the inefficiency of dispatching a 4,000-pound internal combustion vehicle to transport an average five-pound package. In his view, this mismatch creates congestion, air pollution, and excessive delivery expense. Clifton also rejects sidewalk robots, arguing that pedestrian walkways should not be surrendered to commercial machines. Instead, Zipline treats aerial robotics as an invisible infrastructure layer—comparable to municipal running water or instant teleportation—where end customers care only about rapid, reliable transit rather than the aircraft itself.
Because enterprise and government clients want solutions rather than fleet maintenance burdens, Zipline explicitly avoids selling standalone drone hardware. Clifton views the drone purely as an enabling technology platform, comparing its role to how Amazon utilized the early internet. He maintains that long-term viability requires direct service contracts with end users—such as national ministries of health or retail partners like Walmart—shifting supply chains away from disjointed, donor-driven push programs toward responsive, demand-driven systems.
Clinical Impact and Demand Stabilization in Rwanda (7:41)
Facing restrictive US commercial drone regulations in 2014, Zipline initiated operations in Rwanda after the country's Minister of Health directed them to focus strictly on emergency blood delivery. Blood logistics present acute operational bottlenecks because blood components have rigid cold-chain requirements and brief usable windows, such as platelets expiring within six days. Despite early operational setbacks where the system initially served just a single facility five miles away, the network eventually expanded to more than 500 public health facilities. A University of Pennsylvania study confirmed a causal 51% reduction in maternal mortality from postpartum hemorrhage, accompanied by a 70% reduction in vaccine waste and a 32 percentage point decrease in zero-dose children.
This reliability transformed local administrative behavior across 400 to 500 rural health posts. Under prior quarterly road delivery schedules, local clinics routinely placed inflated orders to offset expected administrative rationing, obscuring true demand signals. With instant aerial fulfillment, health workers stopped defensive hoarding and ordered exact clinical quantities, stabilizing overall supply chain volume while expanding access.
Consumer Electronics Economics with Aerospace Redundancy (28:57)
Zipline accumulated over 120 million autonomous commercial flight miles with zero reported safety incidents by combining aerospace failover design with consumer electronics components. Clifton notes that traditional aviation architectures rely on expensive, legacy parts; Zipline replicates these safety margins using modern mobile hardware at roughly one-thousandth of the cost. The aircraft feature redundant battery nodes, dual flight computers, and a dual CAN bus wiring layout capable of withstanding in-flight vibrations. When commercial off-the-shelf servos proved prone to failure, Zipline vertically integrated its engineering to build custom, automotive-grade servos rated for a million cycles.
Hardware development was driven by iterative field deployment rather than theoretical design. To eliminate a 20-minute GPS satellite reacquisition delay during rapid battery swaps, engineers placed the GPS sensor directly on the battery pack, doubling turnaround speed despite the higher bill-of-materials cost of purchasing multiple sensors per drone. Field maintenance was similarly streamlined by redesigning the airframe to reduce fastener varieties from 43 types down to two.
Suburban Integration and Performance-Based Regulatory Pathways (38:15)
To serve residential US markets, Zipline introduced Platform 2, moving away from Platform 1's catapult-and-parachute framework to a quiet hybrid vertical-takeoff-and-landing aircraft. The main vehicle hovers at 300 feet to mitigate neighborhood noise, lowering a tethered, motorized droid that dynamically maneuvers along the X and Y axes to deposit packages onto driveways with high precision. Deployed across roughly 10 Walmart Supercenters in the Dallas-Fort Worth metroplex, the regional system handles thousands of daily deliveries and achieved 25% to 30% week-over-week growth, prompting Zipline to pause outbound marketing due to operational capacity constraints.
Clifton identifies legacy regulatory structures as a key friction point. He observes that while the 1930s Douglas DC-3 cost roughly $75 million in inflation-adjusted dollars over two years to develop, modern airliners require tens of billions of dollars and decades due to prescriptive, component-level reviews. While Zipline secured Federal Aviation Administration exemptions through its 100-million-mile safety record, Clifton advocates for performance-based frameworks—such as proposed Part 108 beyond-visual-line-of-sight rules—where regulators enforce statistical safety thresholds while allowing rapid technological iteration.
While Zipline aims to scale metro-level capacity toward 10,000 daily deliveries and produce up to 50,000 aircraft annually in its South San Francisco plant, Clifton highlights broader macroeconomic and geopolitical vulnerabilities. China manufactures significantly more drones weekly than the United States produces annually, supported by deep consumer electronics supply chains. Although Clifton believes the US maintains an advantage in autonomy, artificial intelligence, and complex systems integration, long-term leadership remains vulnerable to domestic manufacturing atrophy and municipal permitting friction for ground infrastructure.
[0:00] Keller Clifton: My personal opinion is that we should be giving space back to humans, not taking space away from humans
[4:10] Keller Clifton: When people say it's a stupid idea and it's never going to work, that's when the actual hard work begins
[7:41] Minister of Health of Rwanda: Keller, shut up. Just do blood.
[28:57] Keller Clifton: reach into the aircraft, while it's flying and cut any wire with scissors
[33:38] Keller Clifton: None of our customers care about drones
[33:38] Keller Clifton: the first logistics system that serves all people equally
[38:15] Keller Clifton: dinner plate level accuracy
[38:15] Keller Clifton: fundamentally jaw-dropping
[54:24] Keller Clifton: science fiction becomes entitlement
[57:11] John Collison: Why can we not have this in California? Why are you in Texas and not California?
[66:18] Keller Clifton: In a week, China makes more drones than the US makes in a year.
[66:18] Keller Clifton: The bad news is like, yeah, it's true. You know, China has like massive manufacturing advantages and massive scale in this area that the US does not currently have. But that is mainly for like, you know, plastic quadcopters that cost $1,000.
[70:38] Keller Clifton: we don't have the ability to build our own smartphones period
[71:30] Keller Clifton: designing something like incredibly simple and getting it into the real world quickly and learning by doing
Original transcript
[0:00] How many countries today
[0:01] do you run your medical logistics network?
[0:04] Eight.
Why is that not 80?
[0:06] You sound like our board, John.
[0:07] You're really putting the pressure on.
[0:09] And then we walk out the
back of the warehouse
[0:11] and it's just a field of boxes
as far as the eye can see.
[0:15] And I was like, "What is this?"
[0:17] And they're like, "That's all the medicine
[0:19] that expired last year."
[0:21] What is Guinness?
[0:22] Guinness is a stout.
[0:24] Irish people would not call it beer.
[0:27] Does anyone know what the difference
between stout and beer is?
[0:29] Keller Clifton is the
cofounder and CEO of Zipline,
[0:32] the drone delivery company.
[0:33] They started out with
medical deliveries in Rwanda,
[0:36] but they're now expanding
in many countries,
[0:37] including the United States,
[0:39] and have completed more than
a million autonomous flights.
[0:41] Cheers.
Cool. Cheers.
[0:45] Okay. I'm very excited
to talk about Zipline.
[0:46] So, previously you were a
professional rock climber.
[0:51] You studied biochemistry and
computer science at Harvard.
[0:54] You had a previous robotics startup.
[0:55] Then in 2014 you started Zipline.
[0:58] Most people who do know
Zipline probably know you
[1:00] for the medical deliveries in
Rwanda and broader in Africa.
[1:04] You now also have operations.
[1:06] You just announced Chipotle
[1:07] and burrito deliveries
in the United States,
[1:09] and you have a delivery
takes place every minute.
[1:12] And you have 100 million miles flown.
[1:14] Is that a good—
[1:15] I think like 110 or 120 now. Yeah.
[1:16] Okay. Yeah. So, that the
good potted Zipline summary?
[1:19] What would you add?
[1:20] What would I add?
[1:21] I mean, you know, when we were starting
[1:23] to build Zipline in 2013, 2014,
[1:25] our backgrounds were in robotics
[1:27] and automation and software.
[1:28] And it really seemed to us
like it should be possible
[1:33] to build an automated
logistics system for Earth.
[1:36] Like when it comes to robotics,
[1:37] you really want boring and repetitive.
[1:42] Like that's ideal.
[1:43] You know, constrained problems,
boring and repetitive.
[1:47] And logistics is about as boring
and repetitive as it gets,
[1:50] but like it's this
underlying infrastructure
[1:53] that affects everything in the world.
[1:55] It affects how people
get access to healthcare.
[1:57] It affects like how people
even choose where they live.
[1:59] It affects how much time
people get with their families
[2:02] versus having to spend time driving around
[2:04] and, you know, buying things.
[2:06] And so, yeah, it
was...the idea was simple.
[2:11] The execution has turned out to be
[2:12] a bit more complicated
than we were expecting.
[2:14] Yes. And you've made the point that like
[2:15] what does a UPS truck weigh?
[2:17] Like, you know, 5,000—
5, 6,000 pounds.
[2:19] Yeah, yeah, yeah.
[2:20] It's like we've taken for granted
[2:22] that we just have these massive vehicles
[2:24] trundling around our suburban streets
[2:25] as the best answer for delivering things.
[2:27] And it's not obvious it
couldn't be improved from there.
[2:29] I think the best way to
think about that is that
[2:31] when you're batch processing things
[2:33] and delivering things
over the course of a day,
[2:35] that works pretty well.
[2:37] You can load tons of packages into a car
[2:38] and then the car, you
know, the truck over time
[2:40] can deliver things
slowly to lots of homes.
[2:42] But obviously, the thing we've seen
[2:44] over the last five or seven years
[2:46] is the rise of instant delivery.
[2:48] There are now five and a half
billion instant deliveries
[2:51] happening every year just in the US.
[2:54] And this is where we're using
[2:55] a 4,000 pound gas combustion vehicle
[2:57] driven by a human sitting in the front
[2:59] moving the steering wheel back and forth
[3:01] to deliver something to your home
[3:02] that weighs on average five pounds.
[3:04] Yes.
So actually,
[3:05] you do not have to be a physicist
[3:07] to realize this is a really weird way.
[3:09] It's a bit over-engineered. Yeah.
[3:10] Or under-engineered,
[3:11] depending on how you think about it.
[3:13] But like this is, you know,
[3:14] it creates traffic in our neighborhoods,
[3:16] it creates pollution in our neighborhoods,
[3:18] it creates safety issues
in our neighborhoods.
[3:22] It's phenomenally expensive
actually, and it's pretty slow.
[3:26] And obviously, competing vision
[3:27] is the sidewalk robots that
some people are pursuing,
[3:29] but I presume you think for
many of these applications,
[3:31] they're just too slow
[3:32] and you actually, can't
fit that many of them
[3:34] before they start clogging up sidewalks.
[3:36] Is that basically, the argument you make?
[3:38] My personal opinion is that we should be
[3:39] giving space back to humans
[3:41] not taking space away from humans.
[3:43] So, you know, we have already, I mean,
[3:45] I grew up, maybe you grew up, you know,
[3:47] we played in the streets
like we played street hockey.
[3:49] I wouldn't really let my kids
[3:50] like go play street hockey today.
[3:51] So, something has mentally changed
[3:53] where that doesn't seem
like a safe a space anymore.
[3:56] Yes.
[3:56] Sidewalks maybe are like the last place
[3:59] that are meant to be for humans.
[4:01] The idea that, okay,
[4:02] now the robots are going
to take those over too
[4:04] and like humans are going to
have to jump outta the way
[4:06] as these sidewalk robots
go back and forth,
[4:08] doesn't make a lot of sense to me.
[4:10] Why has the drone delivery
vision taken so long?
[4:15] Where, you know, people were talking about
[4:16] tacocopter on Hacker News in 2012.
[4:19] The big Amazon announcement was what year?
[4:22] 2013.
2013.
[4:23] And so, everyone has felt like
it's just around the corner
[4:27] for, well, longer than a decade now.
[4:30] Is it, you know, the FAA beyond
visual line of sight rules?
[4:33] Is it like the tech was surprisingly hard,
[4:35] just why is this happening now?
[4:37] You guys just announced
Chipotle burrito deliveries.
[4:41] Why is that happening
in 2025 and not 2015?
[4:44] I think, it's similar to the question of
[4:47] "why do we not have autonomous cars."
[4:49] When, you know, certain
leaders were saying,
[4:51] "Oh, it's right around the
corner," in 2015 or 2016.
[4:53] I think that with any advanced technology,
[4:56] there's always, what do they call it?
[4:57] The trough of disillusionment curve.
[5:01] It's kind of like you have
like the early hype people
[5:02] realize something should be possible.
[5:04] It's really exciting and
then it completely craters,
[5:07] Because people realize it's really hard
[5:09] and then everybody basically is like,
[5:10] "Well, that was a stupid idea.
It's never going to work."
[5:12] And when people say it's a stupid idea
[5:14] it's never going to work,
[5:15] that's when the actual hard work begins.
[5:17] And then there's like a decade of building
[5:19] all of the fundamental
underlying infrastructure
[5:21] and technology that's
required to actually,
[5:24] make something work in the real world.
[5:28] And, you know, work in the real world
[5:30] is kind of like an easy way of putting it,
[5:32] but the reality is, whether
you're talking about
[5:33] autonomous cars or autonomous aircraft,
[5:36] you have to figure out not
just safety and reliability,
[5:39] you have to figure out regulatory,
[5:40] you have to figure out manufacturing
[5:42] and maintenance and supply chain.
[5:44] All of the software
systems that are required
[5:46] to run behind the hardware
to really make it reliable.
[5:49] Then you also need a
good customer experience
[5:51] on top of all that.
[5:52] And then ideally, you also have to
[5:53] make the unit economics work.
[5:54] So, it's the classic thing of
[5:56] producing a convincing demo in
hardware is relatively easy,
[5:59] but then getting something
actually, useful operationally
[6:02] is where the, you know,
the last 10% of the work
[6:06] is another 2x or 3x from there.
[6:07] I think, I mean, Elon,
I remember watching him
[6:10] for 10 years say again and again,
[6:12] Because people would always say like,
[6:13] "Oh, Ford's going to do what you do,"
[6:16] you know, "GM is just going
to do it and like crush you."
[6:19] And he just kept saying like,
[6:20] "Prototypes are easy, production is hard.
[6:22] Prototypes are easy, production is hard."
[6:23] Yep.
[6:24] I think it's deeply true in hardware.
[6:26] It's very easy for people to...
[6:28] and we've seen it again
and again and again, right?
[6:30] Like in specifically, with drone delivery,
[6:32] someone will buy a
quadcopter off the shelf,
[6:34] duct tape a Snickers
bar to the bottom of it,
[6:36] manually pilot it,
[6:37] like when the weather is
good, two miles land it.
[6:39] It's like, "We just did drone delivery,"
[6:41] and then get a journalist to cover that.
[6:43] But the reality is that
[6:46] what customers really
want is teleportation.
[6:50] And they don't care at all about drones.
[6:53] This is kind of a
counterintuitive thing about
[6:55] that we've learned.
[6:56] It's like when we're working with
[6:57] all these ministries of health,
[6:58] or these governments, or big companies,
[7:00] like Walmart or big
hospital systems in the US,
[7:03] like Cleveland Clinic or many others.
[7:05] They all want to be able
[7:07] to just teleport things
directly to patients
[7:09] or directly to a customer's home
[7:11] in a way that either saves a life
[7:13] or transforms a customer experience.
[7:15] You know, we could be using whatever—
[7:17] They're not interested in drones,
[7:21] they don't care about drones,
[7:21] they don't want to deal
with any of that complexity.
[7:24] All they want to know is something
[7:24] goes from point A to point B fast enough
[7:26] to solve a real problem.
[7:28] And so, I think that a
lot of the technology
[7:30] kind of sits behind a curtain
[7:32] in order to enable a customer experience
[7:34] that is just jaw dropping
[7:36] and you know, changes the
way people live their lives.
[7:38] So, demos are easy, production is hard.
[7:41] You got started in production
[7:43] and really ramped up in Rwanda.
[7:46] How did that come about where, you know—
[7:48] people, I can understand maybe
[7:49] you might want to go outside the US
[7:51] for a more favorable
regulatory environment,
[7:52] but most people will go
to Mexico, or Canada.
[7:54] How did you get to Rwanda?
[7:57] And maybe you can tell the story
[7:58] of scaling up operations there.
[8:00] Yeah, hard to frame.
[8:03] I mean, I think that when we were
[8:05] starting to build Zipline in 2013,
[8:07] we spent about two years
[8:08] building the initial
version of the technology,
[8:10] and everybody told us
this was a stupid idea.
[8:13] Everybody told us there was
no way it was going to work.
[8:15] Was it hard to get funding for?
[8:16] Oh, incredibly difficult,
[8:18] like I remember we were
begging people to invest,
[8:21] you know, $250,000 in the company.
[8:24] What was the first big break
in terms of who invested?
[8:27] Sequoia led our series A
and took this bet on us.
[8:31] This was actually,
[8:31] before we started building Zipline though.
[8:34] Oh, wow.
Yeah.
[8:35] This is for your previous startup?
[8:36] Yeah, well, same company actually.
[8:38] Oh. But it pivoted. I didn't know that.
[8:40] Yeah, most people don't.
[8:42] And then, as we were
starting to build Zipline,
[8:44] I just think there was so much skepticism.
[8:46] I mean it's like such a crazy idea.
[8:48] Like, what do you know it about aviation?
[8:50] Nothing.
Right.
[8:50] What do you know about healthcare?
[8:52] Nothing.
Yeah.
[8:52] What do you know about
operating in Africa?
[8:53] Nothing.
Okay.
[8:54] Well, like, let's stay in touch.
[8:56] Hard tech operating in Africa. Yeah.
[8:58] Let's stay in touch, you know?
[8:59] Smile and nod.
[9:00] Yeah, exactly.
Yeah.
[9:02] I think that, our intuition was
[9:05] we needed a country that was as desperate
[9:07] as we were desperate as a startup.
[9:09] Maybe that sounds bad.
[9:10] Which is like threshold question.
[9:11] Why didn't you start operating
in the United States?
[9:13] It just wasn't a regulatory path...
[9:14] regulatory pathway to do so.
[9:15] Okay. Just the ban on drones. Yeah.
[9:17] Totally impossible to do it in the US.
[9:19] And also, we really wanted
to find, you know...
[9:22] we had this instinct that
[9:24] to convince a country to do this at scale,
[9:26] we needed to focus on
lifesaving use cases.
[9:28] And so, we really wanted to find
[9:29] a national healthcare system.
[9:31] Rather than a fragmented private one
[9:33] like you have in the US.
[9:35] So, we were looking for a
national healthcare system,
[9:38] healthcare challenges that we felt
[9:40] we could really clearly solve.
[9:42] And a country that
would be entrepreneurial
[9:44] and fast moving alongside us.
[9:46] And so, that to us, you know,
[9:48] had us looking at
countries in East Africa.
[9:50] We're also talking to
countries in Latin America.
[9:53] And interestingly, I remember this meeting
[9:55] with the minister of health of Rwanda,
[9:58] I mean we were beyond clueless.
[10:00] Like it's just like,
[10:03] 24-year-old showing up in East Africa,
[10:05] like, "We build robots,
[10:06] we think that this could work."
[10:07] And I remember this meeting
with her where I was saying,
[10:10] "Hey, we'll deliver, blood and vaccines
[10:14] and cancer products and
all these different things.
[10:15] We could do it all instantly
[10:16] in a way that would be transformative
[10:18] and reduce waste and save lives."
[10:19] And I remember she looked
at me and just said,
[10:20] "Keller, shut up. Just do blood."
[10:23] And as she was explaining to me, you know,
[10:25] 50% of blood transfusions are going toward
[10:28] moms with postpartum hemorrhaging,
[10:29] 30% are going toward kids
under the age of five.
[10:32] And it is a super hard problem
from a logistics perspective.
[10:35] Because you have packed
red blood cells, platelets,
[10:38] plasma, crop precipitates,
all these different types
[10:41] of each AB, A, B, and O.
[10:43] They have all different
storage requirements
[10:45] and shelf lives.
[10:45] Platelets only last six days, for example.
[10:47] When you get them out of
a donor into a patient.
[10:51] So, they gave us 21 hospitals
and they said just do blood.
[10:55] And that's what we did
for the entire first year.
[10:57] And it was a disaster by the way.
[10:59] Why?
[10:59] Because we had no idea what we were doing.
[11:02] You know, I think apropos
of the flag behind us,
[11:05] we didn't know how to integrate
[11:06] with a national healthcare system.
[11:08] We didn't know how to integrate
[11:10] with a civil aviation authority.
[11:12] And we definitely didn't know how to build
[11:13] an aerospace-grade product
that was reliable yet.
[11:16] So, we launched and we were
pulling constant all-nighters.
[11:20] We were flying back and forth
between the US and Africa.
[11:22] You know, we had the
entire Rwanda team hired
[11:25] and the system only served one hospital
[11:28] for the first nine months reliably.
[11:30] And we were just trying
everything we could do
[11:32] to make the system work
reliably for that one hospital.
[11:35] Why Rwanda out of all the
Sub-Saharan African countries
[11:38] you could have picked?
[11:41] We can answer that question now,
[11:43] because we have a much
better understanding.
[11:44] The reality is then we
weren't smart enough.
[11:46] We just got lucky.
[11:47] The answer now is,
[11:48] Rwanda really is kind of
like the Singapore of Africa.
[11:51] It has like a very technocratic leader
[11:53] with a very technocratic leadership team
[11:56] where they're taking really smart bets
[11:58] on technology and moving quickly.
[11:59] And it's a very, very
entrepreneurial country.
[12:01] It's got a much stronger
civil service. Yeah.
[12:03] Super strong civil service.
[12:04] Like I can't even describe to you,
[12:06] I mean many times I would
be on calls with a minister
[12:10] or a chief of staff at like
nine o'clock on a Saturday,
[12:13] 11:00 pm on a Saturday.
[12:16] I mean moving lightning fast.
[12:17] That's kind of what I mean.
[12:18] You know, there are many countries
[12:20] that are moving very fast,
[12:21] because they know that the
only way they're going to
[12:22] get ahead
[12:24] is by being aggressive and
entrepreneurial and making bets.
[12:28] So, it was messy at first.
[12:30] When did you crack operations in Rwanda
[12:32] and you felt like, wow,
this is really working.
[12:34] So, after nine months of all-nighters,
[12:36] total desperation, everything
that could break did break,
[12:40] it started working reliably
for that one hospital,
[12:42] which was called Kabgayi Hospital.
[12:45] By the way, that hospital was
only like five miles away.
[12:47] So, it was like we were doing
[12:49] the easiest possible
thing and failing at it.
[12:51] It didn't feel great for nine months.
[12:52] But like when did Zipline get to the point
[12:54] where Rwanda would definitely
not let you rip it out,
[12:56] because they're like, oh,
we rely on this, you know?
[12:58] So, after nine months it started
[12:59] working well for that hospital
[13:00] and then we rapidly added the other 20.
[13:02] So, we were actually,
serving all 21 hospitals
[13:04] in the contract by the
end of the first year.
[13:06] And then they asked us to
expand to 50 hospitals,
[13:09] and then 200, and then 500.
[13:11] Then we went from delivering
blood to vaccines,
[13:14] cancer products, infusions, transfusions.
[13:16] Today, we're like the sole distributor
[13:18] of 500 plus health products
[13:20] in the public healthcare supply chain.
[13:22] And then we started
expanding outside Rwanda.
[13:24] Today, we serve 5,000 hospitals
and health facilities.
[13:27] It's become, yeah,
[13:28] like the largest commercial
autonomous system on Earth.
[13:31] If this model makes total sense,
[13:33] which I think what you're
saying makes sense.
[13:35] There are various healthcare products
[13:37] where you may need them anywhere,
[13:39] you can't predict where
you're going to need them
[13:41] and you need to get them
in a time-critical fashion.
[13:44] Why haven't other countries followed...
[13:46] I mean you're starting to
do this in other countries,
[13:48] but why as of 2020 was every country
[13:51] not beating down a path
to your door saying,
[13:52] "Oh yeah, we'll take 10 Zipline systems,
[13:55] you know, for our health service."
[13:56] It's kind of interesting given that
[13:58] all countries healthcare
needs are kind of the same,
[14:00] as a lot of national healthcare systems.
[14:03] You would think more people
[14:03] would want to replicate the system.
[14:05] Yeah, I mean, I would
say they kind of were,
[14:07] because it starting in '22
so it took us like, you know,
[14:10] three years to stabilize
and grow it in Rwanda.
[14:12] And then it was also very helpful.
[14:14] We had a number of big
academic institutions
[14:17] come in and want to do studies.
[14:18] So, like University of
Pennsylvania came in
[14:20] and did this big study across
all the hospitals we serve
[14:23] and showed a 51% reduction
in maternal mortality.
[14:26] This is like, you know—
[14:27] and that's pretty causal.
A pretty profound thing.
[14:29] Very causal.
Yeah.
[14:30] I mean they, they have their control group
[14:32] and their non-control group.
[14:33] There are like interesting
different reasons for it.
[14:36] A lot of it is around blood availability.
[14:38] But also part of it is just
[14:40] increased trust in the health system.
[14:41] More moms give birth in hospitals
[14:43] when they know that the
hospital's going to have
[14:44] access to the products they need.
[14:45] By the way, you know, when we were
[14:47] starting to build Zipline,
[14:48] we were told this was such a stupid idea.
[14:49] But if we had known we were going to get
[14:51] a 5% reduction in maternal mortality,
[14:54] we would've told you, "Hell yes."
[14:56] Yeah, yeah, yeah.
[14:57] This is like completely worth doing.
[14:58] Victory condition. Yeah.
[14:58] Victory condition.
Yeah.
[14:59] So, the idea of a 51% reduction is,
[15:02] you know, is something...
[15:05] don't listen to the experts
[15:06] I guess is like a good takeaway.
[15:08] And so, you know, from there,
[15:10] We also got like these
additional studies showing,
[15:13] you know, 70% reduction in vaccine waste,
[15:15] 32 percentage point decrease
in zero dose children.
[15:18] So, these are kids who
never get vaccinated.
[15:21] And so, we actually did see, you know,
[15:23] Zipline then launched in Nigeria,
[15:25] and Cote d'Ivoire, and Ghana, and Kenya.
[15:27] We started launching a lot
of different countries...
[15:30] Around 2020, the system
started to scale very fast.
[15:33] Have you seen any induced demand
[15:35] when healthcare systems have
Zipline available to them?
[15:42] So, you know, you can imagine
[15:43] we can fulfill existing needs better,
[15:45] we need blood for a surgical
procedure and we don't have it,
[15:48] and you know, now with Zipline we have it.
[15:50] But have you seen healthcare
systems start to do things
[15:52] that they weren't previously doing,
[15:53] because they have this
cool logistics system
[15:55] available to them?
[15:56] For sure. I mean, that's
like the main thing
[15:58] that we are observing happening.
[15:59] I think there's a lot going on
that's all pretty interesting
[16:04] and maybe we didn't anticipate all of it.
[16:05] I would say one big
thing to realize is like
[16:08] with a health system
you're typically balancing
[16:10] access against waste.
[16:11] So, if you want to make
access really high,
[16:14] you send a ton of medicine
out to the last mile
[16:16] and then access gets better.
[16:17] But now you start throwing
tons of stuff out,
[16:19] because all this stuff has shelf lives
[16:20] and a lot of it is like very expensive
[16:22] and cold chain-dependent.
[16:23] If you want to reduce waste,
[16:25] you keep more stuff centralized,
[16:26] but now you have more people dying
[16:27] when they can't get access
to the thing that they need.
[16:29] So, one of the really crazy
things with Zipline was,
[16:31] you know, we were able to show
[16:33] that by keeping things centralized
[16:35] and turning the entire logistics system
[16:38] over to a just-in-time system,
[16:40] you can actually, move
both up simultaneously.
[16:43] That's a big idea.
Yeah.
[16:45] Another idea is what you're saying,
[16:46] which is like the induced demand,
[16:47] you know, you make it
possible to vaccinate kids
[16:51] for example at a different
layer of the healthcare system.
[16:55] In Rwanda, we now serve I think it's like
[16:58] 400 or 500 health posts in the country.
[17:00] And so, these are like
[17:01] the layer below primary care facilities.
[17:03] It means that kids can get vaccinated
[17:05] way closer to where they live.
[17:06] More kids get vaccinated, because
it's just more convenient.
[17:09] The last interesting thing that we see is,
[17:12] and this is kind of on the
opposite side of induced demand,
[17:14] is actually, when you
had a logistics system
[17:16] that wasn't very reliable, you actually,
[17:18] had a lot of systems
[17:20] that started to exhibit hoarding behavior.
[17:22] Which is kind of weird.
[17:23] But basically, what would happen is that
[17:26] there was never enough blood to go around
[17:28] and these health systems would have
[17:29] to place their order
for blood every quarter.
[17:31] So, they would over-order.
They over-order,
[17:33] because they know they're
going to be cut back.
[17:35] And so, they would order
twice what they needed
[17:38] on the assumption that the
government's going to send them
[17:40] half of what they actually asked for.
[17:41] And then that's just like a
brinksmanship kind of thing.
[17:44] The numbers get bigger and bigger
[17:45] and you lose like all
signal in the system.
[17:47] And so, the really cool thing
that we've seen is actually,
[17:49] a lot of the demands have gone down,
[17:52] because they're actually confident
[17:53] that they're going to get
exactly what they're asking for.
[17:55] Yeah. It's the just-in-time framework,
[17:57] but for a healthcare system.
Yep.
[18:00] What is the business of
what you're doing in Africa?
[18:02] Are you paid by the healthcare system?
[18:04] Is this NGO funded?
[18:06] How does the business side of things work?
[18:08] 10 years of,
[18:09] building the infrastructure in Africa,
[18:11] we always felt really strongly that,
[18:13] we wanted this to be sustainable
[18:14] and we want it to be led by the countries.
[18:16] There's a lot of work that
gets done in Africa by NGOs,
[18:20] they're funded by the US
[18:21] or by the international organizations.
[18:22] I think what's kind of
most amazing about Zipline
[18:25] is it's been entirely country led
[18:27] and almost entirely country funded.
[18:30] So, we sign contracts directly
[18:32] with the ministries of health,
the governments themselves,
[18:34] and then we help those governments
[18:36] save lives and save money.
Yep.
[18:38] So typically we can, for
any given ministry of health
[18:41] or health system, we can
save millions of dollars.
[18:44] Plus, you can show
extraordinary healthcare impact,
[18:48] and that makes it a pretty
easy decision for any country.
[18:51] Yeah. It's one of these amazing,
[18:52] better, faster, cheaper tech use cases
[18:56] or tech value props where
you go to a health ministry
[18:59] and you say, "We'll give you
a better logistics system
[19:02] that delivers stuff faster and is cheaper
[19:04] than how you're currently
moving things around."
[19:05] And I presume that's
kind of hard to pass up.
[19:07] Running a healthcare system is expensive.
[19:08] Yeah. Running a healthcare—
[19:09] yeah, exactly.
[19:11] These products are super expensive.
[19:13] You know, whether it's
vaccine or cancer products,
[19:16] they're all cold chain-dependent,
[19:17] short shelf life, very expensive,
[19:19] and there is phenomenal waste.
[19:21] It's mind blowing.
Yep.
[19:22] Like I remember, and one of the things
[19:24] that actually kind of inspired us,
[19:25] on one of my first visits ever,
[19:28] and I won't name the
country, it wasn't Rwanda.
[19:30] We went to this USAID funded
[19:33] medical product distribution warehouse.
[19:37] And we were kind of going inside
and you can tell it's like,
[19:39] whoa, these systems are not good.
[19:40] By the way, like all,
you know, donor funded
[19:42] and there's a separation from the customer
[19:45] I think is the way to think about it.
[19:46] But we were in the warehouse,
[19:47] it's kind of a disaster.
[19:49] It doesn't look like things are going well
[19:50] and then we walk out the
back of the warehouse
[19:52] and it's just a field of boxes
as far as the eye can see.
[19:56] And by the way, it all says, you know,
[19:59] from the American people on it.
[20:01] And I was like, "What is this?"
[20:04] And they were like, "Oh,
don't worry about that.
[20:05] Don't worry about that."
[20:06] I was like, "No, really,
like what the heck?"
[20:07] Like it was like vast scale.
[20:10] Yeah.
And they're like,
[20:11] that's all the medicine
that expired last year.
[20:13] And so, I think we had this
kind of like aha moment.
[20:16] And the crazy thing is that
was happening in a country
[20:18] that was having massive shortages
[20:19] and healthcare outcomes
[20:21] where people couldn't get
access to these products.
[20:23] You could kind of see the two points
[20:26] to just connect with a line.
[20:28] So, what's the lesson, the
generalized lesson here,
[20:30] is it that existing aid supply chains
[20:34] are pretty inefficient right now
[20:35] and there's a lot of improvement possible?
[20:37] I think maybe one big generalized takeaway
[20:40] is that logistics is so boring
[20:42] and so in the background
we never think about it.
[20:45] You know, if you're living in a,
[20:46] I don't know, you know, the Bay area,
[20:48] you're ordering stuff on Amazon,
[20:49] you have it delivered
to you 30 minutes later
[20:51] or an hour later, whatever it is.
[20:53] It's kind of like running water.
[20:55] You don't really appreciate
it until you don't have it.
[20:57] Yes.
[20:58] And there are parts of the world
[20:59] that have crappy access to logistics.
[21:01] Yeah.
[21:02] And then there is about
[21:03] five or six billion people on Earth
[21:05] who have no access to logistics.
[21:07] And I think that is
maybe the big realization
[21:10] is that like, maybe we think of it
[21:12] as something that's just ubiquitous
[21:13] or like something you don't worry about,
[21:15] but the reality is that,
[21:16] if you don't have like that
strong layer of logistics,
[21:19] everything else is phenomenally difficult
[21:21] and expensive to do.
[21:22] So, you mention the public
healthcare institutions,
[21:26] they're all building
verticalized supply chains...
[21:29] in these country, and it's
many different supply chains.
[21:32] It'll be a different supply
chain for Aids drugs,
[21:35] different supply chain
for, maternal mortality,
[21:38] different supply chain for kids,
[21:41] or you know, neglected tropical diseases,
[21:43] and those systems don't
run very efficiently.
[21:45] In how many countries today
[21:46] do you run your medical logistics network?
[21:49] Eight.
Why is that not 80?
[21:51] Again, it feels like something
[21:52] every healthcare system should want,
[21:55] and it's pretty proven at this stage
[21:56] where it's been working well in Rwanda
[21:58] and other places for several years.
[21:59] You sound like our board, John.
[22:01] You're really putting the pressure on.
[22:02] You're like, what are our
revenue growth numbers
[22:05] and why are we not growing faster?
[22:06] Exactly.
[22:08] You know, I think that
there are a few things.
[22:10] I mean one is that we've
always been pretty clear
[22:13] that it's one thing to save the lives
[22:16] of the people you're delivering to,
[22:18] but it's really important that we be safe
[22:20] for the people who we are flying over.
[22:22] You know, Zipline now has about
[22:23] 120 million commercial autonomous miles
[22:25] and zero safety incidents, and
that's definitely hard to do.
[22:29] That has come from,
[22:30] I think the company being very focused
[22:33] and step by step. Doing things
[22:35] in the right way, testing, validating,
[22:37] and making sure never
to get over our skis.
[22:39] But the laws of aerodynamics
are not different in Rwanda
[22:41] versus Algeria versus the UK.
[22:44] So, that's part of it,
[22:46] but then also it's kind of
like a, you know, I don't know,
[22:48] sometimes we talk about it internally
[22:49] as like a pig traveling through a snake.
[22:51] It's kind of all about bottlenecks,
[22:53] scaling up hardware.
[22:54] I mean we were really only ready
[22:55] for a lot of scale I would say,
[22:58] 2020 was when we started
expanding into new countries.
[23:00] We then went from one to eight countries
[23:03] Went from like 100 health
facilities to 5,000 today.
[23:08] So, the system has been
scaling very, very fast.
[23:11] The other thing that
did happen is that 2022,
[23:15] when you see interest rates
spike in the US it's like,
[23:17] oh man, that's really inconvenient
[23:19] and annoying to us in the US.
[23:20] In Africa, it creates economic Armageddon.
[23:23] And it feels like if you're
running a medical system,
[23:25] what you're describing about having,
[23:28] like... I view you as not
being in the drone business,
[23:30] but in this line of business
[23:32] you are in the medical
inventory management business
[23:36] and you just have a much better
[23:37] inventory management solution,
[23:39] because you're able to do
this just-in-time stuff,
[23:40] and there are a few medical
systems that don't want that.
[23:42] Well, I just think it's
becoming more and more clear
[23:44] that like this is the
infrastructure of the future.
[23:46] This is a smart thing for
countries to be investing in.
[23:49] And so, there is a lot that's going on
[23:52] even just this year that is leading to
[23:54] massive growth both in
terms of within countries,
[23:57] us adding new distribution centers,
[23:58] and us adding new medical products,
[23:59] and then also adding new
countries to the list.
[24:06] This medical logistics
system we're describing
[24:08] is based on your Platform 1 aircraft.
[24:10] And the way the system
works, as I understand it,
[24:12] is you have a fixed-wing,
battery-powered drone
[24:16] that is launched off a catapult.
[24:18] You shoomph it off the catapult
[24:19] and then it flies from
a distribution center,
[24:22] flies to the hospital,
[24:23] it drops the payload
with a parachute attached
[24:26] and they go grab it. And
then the drone returns home
[24:29] and I presume just lands in the grass
[24:30] and you take it and plug it back in.
[24:33] That's roughly how
Platform 1 works, right?
[24:34] Yeah. It doesn't land in the grass.
[24:36] I mean we actually use something
[24:37] that is kind of inspired
by aircraft carriers.
[24:39] Oh, you catch it?
[24:40] Yeah, we actually,
catch it out of the air.
[24:41] Okay.
It looks kind of crazy.
[24:42] Or it's like the thing
in Batman, you know,
[24:43] where they're recovering the—
[24:45] What thing from Batman?
[24:46] You mean the skyhook
from Mission Impossible?
[24:48] Yeah. There's also a skyhook in Batman.
[24:49] Sometimes people think skyhook.
[24:50] You know, it basically like
the vehicle is flying by
[24:53] at about 100 kilometers an hour
[24:54] and we can snatch it out of the air.
[24:56] Oh, I've seen that. Yeah.
Called the snap catch.
[24:58] Big pole. Yeah, yeah.
Big poles.
[24:59] And yeah, you know?
[25:01] It's like something out of a cartoon.
[25:02] You know, every time you see it.
[25:03] Yeah. It really does look
[25:03] kind of cartoonish.
[25:04] Cartoon energy, yeah.
[25:05] It does look weird.
[25:06] And every time you see it
you're kind of like, hallelujah.
[25:08] You know, like it's
amazing that, that worked,
[25:10] but now it works 1,000 times.
[25:11] Like we got away with another one.
[25:12] Yeah. We got away with another one.
[25:14] But the cool thing about, you know,
[25:15] autonomous systems is that like, you know,
[25:16] we're using guidance
navigation control algorithms
[25:20] that are hyper precise.
[25:22] When you take the human out of it,
[25:23] you can actually achieve levels...
[25:24] Not that we want to take human pilots out,
[25:27] I realize I was sitting
with a talented pilot.
[25:30] Thank you. None taken.
[25:32] But robots are really
good at flying vehicles.
[25:34] And so actually, you can
achieve levels of precision
[25:37] that seem very counterintuitive.
[25:39] The aircraft has a one centimeter
[25:41] tail hook on the back of it
[25:42] and we reliably catch that
one centimeter tail hook
[25:45] every single time as
the vehicle's coming by.
[25:47] When you say robots are better pilots,
[25:50] I take no offense at that.
[25:52] Have you read "The Right
Stuff" by Tom Wolfe?
[25:53] I haven't actually.
I really enjoyed it.
[25:55] Tom Wolfe fabulous writer all
his stuff I would recommend
[25:58] and certainly, "The Right Stuff"
[25:59] maybe for listeners of this podcast
[26:01] is on the history of the
Mercury space program.
[26:07] So, before the Apollo program.
The initial space program.
[26:10] But they describe how when they
were making the spacecraft,
[26:14] their initial plan that was
[26:16] totally obvious to them was
they would make them autonomous.
[26:19] And this is back in the sixties,
[26:21] but it was still kind of
patently obvious to them
[26:23] that they would make them autonomous
[26:24] and they faced rebellion
[26:26] from all the shit hot
Air Force fighter jocks.
[26:30] We can do it better.
From the program.
[26:32] Well, they just didn't want
to be passive passengers.
[26:34] You know, we sent monkeys up to space
[26:36] and monkeys don't do better.
[26:37] We're no better than monkeys
[26:38] just like sitting there.
[26:39] Sit there and hope you survive.
[26:41] Exactly. So, they added
[26:42] manual controls for the spacecraft,
[26:44] afterwards to the design.
[26:46] Because of the pilot—
[26:48] The controls weren't
connected to anything,
[26:50] but they could at least like,
[26:51] it's like in an elevator, right?
[26:52] You can like push the close button.
[26:53] Exactly, but it's very funny.
[26:55] And so anyway, that
was back in the sixties
[26:58] and so, yeah, totally.
[26:59] But on a slightly more
serious, note on that,
[27:02] which is that like today the majority,
[27:04] I think you probably well
know, the majority of aircraft,
[27:07] airplane crashes are
caused directly by humans.
[27:10] Yeah.
[27:11] It's actually, a bit sobering.
[27:13] I mean, but also I think it's just a sign
[27:15] that like the safety of these systems
[27:16] has progressed so dramatically
[27:19] that at this point the last
unsafe thing in the cockpit
[27:21] is the human themselves.
[27:23] So, some questions on tech and safety
[27:24] and how you do things.
[27:25] How do you avoid birds?
[27:27] We don't, birds avoid us.
Okay.
[27:29] Yeah. Turns out like birds—
[27:30] Not a big practical issue.
[27:31] Birds have pretty good
[27:32] detect and avoid systems of their own.
[27:34] And so, they hear us coming.
[27:36] How fast are you flying?
[27:37] About 100 kilometers an hour.
[27:38] You're much smaller than airplanes.
[27:40] We're not like sucking
birds into they cells
[27:43] in the same way that a jet would.
[27:44] How do you avoid airplanes?
[27:45] So, we avoid airplanes by basically,
[27:47] it's like a multi-layer
deconfliction strategy.
[27:50] First of all, we're flying
[27:51] below the commercial aviation floor.
[27:53] So, you know, in the US
that's about 400, 500 feet.
[27:57] So, we're never conflicting with
[27:59] the kinds of normal airplanes that,
[28:02] people who are listening
would ever be flying in.
[28:04] We are also then on ADSB,
so we're receiving ADSB.
[28:08] So, as long as something
is squawking on ADSB,
[28:10] we know it's there and can avoid it.
[28:12] Yep.
We also then have
[28:13] cameras on board and then we
also do things like notam so,
[28:17] you know, old term, but notice to airmen.
[28:18] Basically telling people
[28:19] when we're operating in certain places.
[28:21] So, like all of these layers together
[28:23] combine to get us a safety profile
[28:26] that is super obvious
that the FAA can approve.
[28:29] Hmm. Super cool.
[28:30] And then, can you tell, if
a battery's caught on fire?
[28:35] So, the cool thing about the way
[28:36] the aircraft is designed
is that like, you know,
[28:39] there are 43 major
sub-assemblies on the aircraft.
[28:41] Every one of those sub-assemblies
[28:43] is designed from scratch by Zipline.
[28:44] So, super, you know, vertical integration.
[28:47] Yes.
[28:48] And we really take inspiration
[28:50] from the way that planes are designed,
[28:52] like we'll look at the way of
flight compute on a, you know,
[28:54] Boeing 787 is designed
[28:56] and they're, of course, using like
[28:57] multimillion dollar like
20-year-old components.
[28:59] We can talk about why that's so screwed up
[29:01] in a second, if you want,
[29:02] but like the architecture is
usually fundamentally sound.
[29:04] And then what we'll usually do is
[29:06] just use cell phone components
to build that architecture
[29:09] in a way that's about one
thousandth of the cost,
[29:11] but just as safe.
Yeah.
[29:13] And so, you're kind of using
[29:14] a lot of those aerospace paradigms of
[29:17] being able to fail over
[29:18] and building redundancy into
every flight critical system.
[29:21] So, you know, the aircraft we have
[29:22] redundant nodes of the battery.
[29:24] One node can fail the vehicle
can still fly itself home.
[29:26] We have redundant flight
compute architecture.
[29:28] So, you can have a flight compute fail,
[29:30] you can fail over the second
flight computer and fly home.
[29:33] You can actually, reach into the aircraft,
[29:35] while it's flying and cut
any wire with scissors,
[29:39] the plane will still fly itself home.
[29:40] Because it's wired, redundantly.
[29:42] Redundant CAN bus.
[29:43] So, basically we're passing, yeah,
[29:45] redundant CAN bus on the
aircraft means that we're not,
[29:48] you know, you can lose any wire.
[29:51] We also have redundant control services.
[29:52] Did you do that because you're
paranoid about mid-air things
[29:53] like mid-air collisions
[29:55] or because... just as a
general redundancy strategy?
[29:59] General redundancy, I mean
like you're not actually,
[30:01] worried about someone
reaching into the airplane
[30:02] with scissors usually.
[30:04] That would be a hard thing to pull off,
[30:06] but what you are worried about is like
[30:07] vibration and connectors shaking loose.
[30:09] That's like a core
failure mode for aircraft.
[30:12] So, going back to the operations in
[30:14] like we're talking about
these Platform 1 operations
[30:16] at that you're doing in Africa
[30:17] and the medical logistics use case.
[30:19] What we described sounds pretty simple.
[30:23] but as you say, demos are easy,
[30:24] engineering or production is hard.
[30:27] What was hard about getting, you know,
[30:30] from 90% reliability to 99.9% reliability.
[30:34] Concretely what was,
[30:36] what kind of stuff were you solving?
[30:39] I think that with hardware,
[30:41] like everything that can
go wrong does go wrong.
[30:43] You know, first you have to get
[30:46] a design that works and makes sense—
[30:49] Because you have earlier
design iterations that
[30:51] were wrong in subtle ways.
For sure.
[30:52] Unbelievable, or not subtle
ways, like in retrospect,
[30:55] wow, we're like complete idiots.
[30:56] Forward the silly early design.
[30:58] Yeah. One really good
example with Platform 1 was,
[31:00] you know, when the aircraft would land
[31:02] we would swap the battery.
[31:04] The advantage of swapping the battery
[31:06] was we could then have the
aircraft back on the launcher
[31:08] and back in the air three minutes later.
[31:10] We put the GPS on the flight computer,
[31:12] which would like seem to make
sense as a place for GPS.
[31:14] But it has to reacquire
GPS every single time.
[31:15] So, see you're smarter
than we were basically.
[31:17] So, the problem was that you have...
[31:20] you get an order and it's
like wow there's an emergency,
[31:23] like a patient needs
this, blood transfusion,
[31:25] and so, every second counts.
[31:28] So, we immediately grab the
aircraft, we put the battery in-
[31:30] Give me a minute.
Plugs in the GPS turns on
[31:33] and now the GPS is
going to take 20 minutes
[31:34] to acquire all the satellites necessary
[31:36] for the vehicle to pass
pre-flight and launch.
[31:38] And so, we realized how stupid this was
[31:40] and immediately iterated
[31:41] and put the GPS on the battery itself.
[31:43] So, it didn't make sense
from a bomb cost perspective,
[31:46] because now you need two GPS units
[31:48] for every aircraft that's flying,
[31:49] because one is sitting
on the battery charger.
[31:51] But it really makes up for it,
[31:53] because you've just
[31:54] doubled your cycle time on the aircraft.
[31:56] So, there are a million examples.
[31:57] I mean another example,
this stuff is so unfancy,
[31:59] it's almost like embarrassing to describe,
[32:01] but like when we initially
launched Platform 1,
[32:04] the aircraft had 43 different
kinds of fasteners on it.
[32:07] Turns out that is
extraordinarily difficult
[32:09] to keep 43 fasteners in stock
[32:11] at all these different
distribution centers
[32:13] where you're doing constant
maintenance actions on them.
[32:15] So, the next version of the aircraft
[32:16] had two total kinds of fasteners
on the entire aircraft.
[32:20] So, a lot of this is like,
[32:21] it's not fancy.
Yeah.
[32:23] But it's hard to learn without
[32:25] you just kind of learn by doing.
[32:27] Is there a component that's
been really annoying?
[32:29] Like if you could wave a magic wand
[32:30] and get a better version
of some component,
[32:33] what would you ask for
a better version of?
[32:35] I mean every component we have iterated
[32:37] on many, many times I would say like
[32:39] today probably more than
anything is like servos.
[32:41] In fact Zipline went
[32:42] and designed its own servo from scratch.
[32:45] You know, we also ended up
going and designing, you know,
[32:49] I mean almost every
component of the aircraft.
[32:51] It was just kind of a matter of like
[32:52] when it made sense to do it.
[32:54] But over time almost every
component of the aircraft,
[32:57] every major subassembly,
[32:57] has been designed completely from scratch.
[32:59] Why do servos frustrate you?
[33:00] Servos for context are
actuators basically,
[33:03] things that turn electrical
power into mechanical movement.
[33:05] I think servos are hard
[33:07] just because like there was no industry...
[33:09] I think, the way to think about, you know,
[33:10] people think about
drones and they're like,
[33:12] oh yeah, it's like a drone,
[33:14] but the reality is you have,
you know, an a thousand dollar
[33:15] quadcopter
[33:18] that will take pictures
and fly for 20 minutes
[33:21] and the reliability and safety of it
[33:23] really doesn't matter at all.
[33:24] And then you have a $50
million Predator aircraft,
[33:28] which is actually, surprisingly
also very unreliable.
[33:31] Like Predator, you know,
famously I read this statistic,
[33:33] which is like 50% of US military drones
[33:38] have crashed due to operator error.
[33:40] Oh, my God.
Read these stories.
[33:41] They're like, they didn't realize
[33:42] they were flying upside down.
[33:44] I mean it is like crazier than you think.
[33:45] The DJI inbuilt collision
avoidance is now much better.
[33:48] Not working. I don't know.
[33:49] The new ones will.
[33:50] Yeah. I think that the reality is
[33:52] those are two different
sides of the spectrum.
[33:53] And what Zipline really needed was like
[33:56] we think a lot about automotive grade,
[33:58] which is actually, almost think of it like
[34:01] a sacred area of like cost and quality,
[34:05] because automotive grade is super.
[34:08] It's generally, very low cost
[34:10] and very, very high
quality and reliability,
[34:12] and that's really where servos are.
[34:13] Like you can get servos
that are totally crappy
[34:16] that you'd like use in consumer,
[34:17] I don't know like toys.
Yeah.
[34:19] And then you can get like
extremely expensive servos
[34:22] designed in Germany and
they cost $1,000 each
[34:25] and they're way over-engineered.
[34:27] But what we needed was something
[34:28] that was like extremely cost effective
[34:30] and that would last for
like a million cycles,
[34:32] and that doesn't exist in the world.
[34:33] And so, you're now
producing your own servos?
[34:35] Yeah. And so, we designed
it completely from scratch
[34:36] and now that's what we use in Platform 2.
[34:38] That's wild.
[34:39] Will you end up just selling
drones for other applica...
[34:43] like right now you are a, you know,
[34:45] did you know Boeing and United
used to be the same company?
[34:47] Like it was full vertically
integrated aviation where—
[34:49] I did not know that.
[34:50] Yeah.
Wow.
[34:51] I feel like, I'm embarrassed.
[34:53] The airframer and the airline. Yeah.
[34:54] And then they were split
up in that like it kind of
[34:55] there was a big antitrust,
[34:57] antitrust was emerging
[34:58] as a domain kind of at the time.
[35:00] And as part of that they
were forced to split it up.
[35:02] Anyway, you are the
Boeing and United, right?
[35:04] You know, you provide the service
[35:05] and you produce the aircraft.
[35:07] Might you ever just sell the aircraft?
[35:08] I don't think so.
[35:10] For a number of reasons.
[35:11] I mean I think the most important one
[35:12] is kind of what I was alluding to before,
[35:14] which is none of our
customers care about drones.
[35:16] Like if we were out there
trying to sell drones,
[35:18] I mean it just is not solving the problem
[35:19] that people actually care about.
[35:21] Yes.
Like Walmart,
[35:22] Cleveland Clinic, the
government of Rwanda,
[35:24] none of these customers want to be
[35:26] managing a fleet of autonomous aircraft.
[35:29] Oh no, I don't think you'd sell the drones
[35:30] to your current customers.
[35:31] I think there'd be new customers
[35:32] where maybe I want to build
a crop dusting service
[35:35] and your drones would be the
best for doing crop dusting.
[35:37] And so, I buy your drones
[35:38] and they have all the safety equipment
[35:40] and the high-quality servos
and things like that,
[35:42] but you're not currently
in the crop dusting market.
[35:44] Yeah. I mean the second
reason I was going to say is,
[35:46] I just don't think selling
hardware in that way
[35:47] is a very good business.
Ah, okay. Yeah.
[35:49] But I also think the third
thing to consider is that like,
[35:52] it's a bit like asking someone, like
[35:54] oh, you know, Jeff Bezos like
early days of the internet,
[35:56] "Are you also going to like
[35:58] build other internet businesses?"
[35:59] You know, it's like the internet
[36:01] is just a technology platform.
Yeah.
[36:02] And Amazon was building
obviously, you know,
[36:05] a new kind of retail company
[36:07] and I think that, you know,
[36:08] drones are a technology platform.
[36:10] Zipline is a logistics company.
[36:12] Like we are really focused on
building automated logistics
[36:15] for Earth in a way that
[36:17] you want to build the
first logistics system
[36:18] that serves all people equally.
[36:20] Like we would happily use
any different kinds of tech.
[36:22] Like if someone invents
teleportation tomorrow,
[36:23] we'll switch to that,
because that would be better.
[36:25] You're a logistics platform.
[36:26] The big unsolved space was drones.
[36:30] Will you ever do a modality
that is not drones?
[36:33] Very possibly.
Huh.
[36:34] What would that be?
[36:37] We have lots of ideas.
[36:37] Have a few more sips.
Yeah, exactly.
[36:42] I think that ultimately,
if you really want to be
[36:45] a new kind of logistics provider,
[36:47] you probably have to be
even more integrated,
[36:51] like certain things are not
going to go via the air,
[36:53] certain things are going
to go via the ground.
[36:55] Okay. You get multimodal.
[36:57] Yeah. You should be multimodal.
[36:58] You know, UPS is multimodal.
[37:00] Perhaps Zipline should be multimodal.
[37:03] Keller is describing here
[37:04] how Zipline got its start in Africa,
[37:06] but they're now up and running
[37:07] with drone deliveries
in the United States.
[37:09] And this is a technology
pattern you see again and again.
[37:12] Drone delivery, mobile
payments, WhatsApp, QR codes,
[37:14] these are all technologies
[37:15] that started in emerging markets first,
[37:18] and it's going to be the
same with stablecoins.
[37:20] So, here at Stripe we're
all in on stablecoins.
[37:22] We recently acquired Bridge
[37:24] the leading stablecoin
orchestration platform
[37:26] and Privy, the best crypto
wallet infrastructure.
[37:29] We're already seeing a ton
of stablecoin adoption,
[37:31] especially with companies
[37:32] that want to build cross-border
financial products.
[37:35] We're working with companies like Ramp
[37:36] to build a global stablecoin
backed spend card,
[37:39] SpaceX, for global treasury management,
[37:41] and Shopify, to enable payments
[37:42] on Shopify stores from every country.
[37:44] And then breakout startups like
Chipper Cash and Dollar App,
[37:47] they're offering dollar access
[37:48] to people in Africa and Latin America,
[37:50] but we don't think stablecoins
are going to stop there.
[37:53] Stablecoins are a programmable, low cost,
[37:55] high throughput financial system
[37:57] that'll have applications everywhere.
[37:58] I know from my experience
when I talk to CEOs,
[38:01] they're all interested in the
applications of stablecoins.
[38:04] Stablecoin supply is up
50% in the past year alone.
[38:06] They're definitely not a flash in the pan.
[38:09] So, if you are a company
building with stablecoins
[38:11] or you're just thinking
about your strategy there,
[38:12] come talk to Stripe.
[38:15] We have been describing Platform 1,
[38:19] which is like we said,
[38:20] fixed-wing, catapult-launched,
sky hook recovered,
[38:26] operating for the last decade in Rwanda.
[38:30] You now have just launched Platform 2,
[38:32] which is vertical takeoff and landing.
[38:35] Looks more like a
traditional multi-rotor drone
[38:39] that people might picture
when they hear a drone
[38:40] though there's also a wing?
[38:42] Yeah, it's a hybrid.
Okay.
[38:43] So, I forget what you call these,
[38:45] but yeah, there's a wing and there's—
[38:46] Vertical takeoff and landing, so VTAL.
[38:48] Yeah. VTAL fixed wing thingy.
[38:50] And you are using this for
deliveries in suburban America.
[38:56] Many questions on this.
[38:58] First off, why construct
a whole new modality?
[39:00] Like it seems to me that
[39:02] what you were doing with
the precision airstrikes
[39:05] of little packages under parachutes—
[39:07] Yeah.
[39:08] Would also work for my burrito.
[39:10] So, why not do Platform 1 with my burrito?
[39:15] I mean in fact it did.
[39:16] The crazy thing is that when we, you know,
[39:19] when we initially
started building Zipline,
[39:21] we kind of thought, oh,
we're going to have to
[39:22] build this very fancy complex technology.
[39:24] It'll have to be a vertical takeoff
[39:25] and landing fixed-wing vehicle.
[39:27] We'll have to be able to deliver things
[39:27] very precisely and gently.
[39:29] And then we were talking to
all these early customers,
[39:31] it kind of, you know, we realized
[39:33] and this is the power of just
[39:34] going and talking to customers directly,
[39:35] they only cared about cost.
[39:36] Yeah.
And speed.
[39:38] They said they wanted to
cover like maximum range.
[39:40] They want it to be fast and
they want it to be really cheap.
[39:42] And so, we kind of ended up thinking like,
[39:44] hey, you know, perhaps we
should just design this
[39:46] very simple fixed-wing system
that would be, you know,
[39:48] to a certain degree very unfancy.
[39:50] Like when you see the way we're
delivering there, you know,
[39:52] it's just like this, you know,
[39:54] cardboard box with a wax paper parachute.
[39:59] It is amazing to me that,
that system worked that well
[40:02] and scaled for 10 years
[40:03] to like 5,000 hospitals
and health facilities
[40:05] and became the largest commercial
[40:07] autonomous system on Earth.
[40:08] You know, when we say
[40:09] 100 million commercial autonomous miles,
[40:10] I don't think people fully get,
[40:12] that's going to the
Moon and back 200 times.
[40:14] Yeah. And I presume actually,
[40:16] I always find comparisons of
to the Moon and back really.
[40:19] Not that helpful. Okay.
Not that helpful.
[40:21] Here's another.
[40:22] No one knows where the Moon is.
[40:23] I presume your average journey is
[40:25] order of 100 miles in Africa
[40:27] and so, you're basically,
talking a million flights.
[40:29] Yeah, 1.5 million.
Yeah. 1.5 million flights.
[40:31] So, I think that's a pretty good number.
[40:35] So, anyway like, not
to, you know, digress,
[40:39] but it's kind of amazing
to me that Platform 1
[40:41] scaled as far as it did
[40:43] with this delivered experience
that was super unfancy.
[40:45] Yeah.
[40:46] And ultimately, as we were scaling
[40:50] like crazy through 2020 and 2021,
[40:52] there were all these
big customers in the US
[40:54] who all were kind of saying,
[40:56] hey, like we want teleportation,
[40:58] we would use that here in the US.
[40:59] And so, I think that this
was kind of our realization
[41:01] that like it was time to expand basically,
[41:04] and say, okay, if we were
going to build a product
[41:07] that can deliver directly to homes,
[41:09] what does that need to look like?
[41:10] And the design considerations
for that are pretty different.
[41:12] You know, in our opinions we need
[41:15] to integrate really well
with like existing buildings.
[41:17] We couldn't build distribution centers
[41:18] like we did with Platform 1.
[41:20] We need to be able to basically, you know,
[41:22] plug into the side of
any existing hospital,
[41:24] or primary care facility, or
warehouse, or even restaurant.
[41:27] And then from there you need
to be able to deliver to homes
[41:29] in a way that was fully
automated, zero emission,
[41:32] you know, 10 times as fast.
[41:34] And most importantly,
we want it to be silent.
[41:36] Because we think that like people,
[41:38] this is a kind of important thing.
[41:39] I think sometimes people
think drone delivery,
[41:40] oh my God, it's going to be so annoying.
[41:42] They have this nonstop buzzing of drones,
[41:44] because that is how people
experience drones today.
[41:47] But the reality is that it
doesn't have to be that way.
[41:49] You can design systems that are actually,
[41:51] way, way quieter than
receiving a delivery via car.
[41:54] And the crazy thing, sorry,
that I forgot to mention
[41:56] in my description of Platform 2
[41:59] is that the drone does not come...
[42:02] the aircraft does not come
anywhere near your house.
[42:04] It sits up at 300 feet above your house.
[42:07] And then long lines
the payload down to you
[42:11] in a little droid thingy
and that drops it off,
[42:14] but as a result the drone is hovering—
[42:17] Far away.
300 feet above you.
[42:19] Where I presume it's
just inaudible basically.
[42:20] Yeah, it's it's nearly inaudible.
[42:21] Yeah.
It looks crazy.
[42:23] I was talking to an
investor the other day.
[42:25] It sounds crazy.
Yeah, I know.
[42:26] And I was talking to an
investor the other day,
[42:27] he wrote us this nice
email and he said like,
[42:29] "Hey, we really want to meet you,
[42:30] because we think Zipline has built like
[42:31] a fundamentally jaw-dropping
consumer experience."
[42:34] I do think when people come
and see it for the first time,
[42:36] it's pretty wild—
Yeah.
[42:38] Because you just never really experienced
[42:39] something like zipping down to you
[42:42] from like a football
field above your head.
[42:43] It's like out of science fiction.
[42:44] Yeah.
[42:45] It's kind of science fiction.
[42:46] But the advantage is that
droid that you described,
[42:48] the little robot on the end is actually,
[42:51] controlling its position
on an x and y axis.
[42:53] So, this is really important,
[42:54] because like there, it's
often windy, it's going to
[42:55] be blowing.
[42:56] You have different
environmental conditions
[42:57] you're trying to control for
[42:58] and we want to be able to deliver
[43:00] with like dinner plate
level accuracy to any home.
[43:03] And so, this enables us,
[43:04] even when the wind is
blowing really, really hard,
[43:06] this enables us to like very
reliably, safely, and precisely
[43:10] deliver something even in
a very, very tight area.
[43:13] Okay. So, the reason that you needed
[43:14] to develop a Platform 2
[43:16] for suburban deliveries
in the United States was,
[43:18] one, the place you're
delivering from, the Chipotle,
[43:21] you probably can't fit a catapult there
[43:24] at least not in every one.
[43:25] I'm pretty sure you can't.
[43:26] And then, well, some of them you could,
[43:27] there's a parking lot, you know,
[43:30] but not reliably.
[43:32] And then for the target, again,
it might be accurate enough,
[43:36] but the new system is
definitely accurate enough.
[43:38] Yeah. I mean, in fact like
[43:40] the very first Walmart store
that we ever integrated,
[43:42] we actually integrated with Platform 1.
[43:44] And that was even more shocking to me.
[43:46] The customers loved like basically,
[43:48] having like their stuff
bombarded them, you know,
[43:50] like from 30 feet up.
[43:51] I mean it's like honestly crazy.
[43:55] I think that was like the
clearest signal to me of like,
[43:57] man, if people were willing to put up
[43:58] with that delivery experience
[44:00] to get something delivered autonomously,
[44:01] like wait until they see Platform 2.
[44:03] So, the reason that we haven't had
[44:05] drone delivery in the United
States for a long time
[44:07] is the FAA did not provide any rule making
[44:12] beyond visual line of sight operations.
[44:15] And you know, they're your regulators
[44:17] so you probably can't
criticize them in public.
[44:18] I'll criticize them for you.
[44:19] I think, you know, the FAA was slow
[44:21] and roundly criticized for being slow
[44:23] in not having any
commercial drone frameworks.
[44:25] since the old part 107 stuff
for like hobby drone operators.
[44:28] And line of sight is the test
[44:30] where it has to be a light
drone less than 55 pounds
[44:32] and you have to be like there
[44:33] controlling with your remote control,
[44:35] which obviously, is not viable
[44:36] for commercial drone operations.
[44:37] So, for the longest time they sat on
[44:40] commercial drone operations
and didn't do anything.
[44:45] Just now in the last month,
we've seen Sean Duffy,
[44:48] the Secretary of Transportation
and acting head of the FAA,
[44:51] announce new Part 108
beyond visual line of sight,
[44:55] commercial drone rules
[44:57] or at least, the notice
of proposed rulemaking.
[45:00] What do you think of the current FAA
[45:03] and the rules they're proposing?
[45:05] Yeah, I mean, first of all, you know,
[45:07] Part 108 is kind of
like codifying something
[45:11] that has already been happening
[45:12] over the last three to four years,
[45:13] which is I think that
about four years ago.
[45:15] On an ad hoc basis.
On an ad hoc basis.
[45:16] And like via exemptions.
Yeah.
[45:19] Which is that about four years ago,
[45:20] Zipline started seeking
regulatory approval in the US.
[45:23] We were able to go to the FAA and say,
[45:24] "Hey, we have 100 million
commercial autonomous miles
[45:27] and zero safety incidents.
[45:28] We think at this point you
have the data you need."
[45:30] And they agreed.
[45:31] And so, very much to their credit, like,
[45:33] you know, this is what really unlocked
[45:34] like Zipline starting to
scale aggressively in the US,
[45:37] and we've done that via exemptions.
[45:39] There are things called like 44807,
[45:41] which is a different process
[45:42] rather than getting an
aircraft type certified.
[45:44] If you really want to
talk about, you know,
[45:46] something that's broken,
[45:47] we could talk about type certification.
[45:49] Of drones or aircraft?
Both.
[45:50] Okay.
Yeah, I mean so far.
[45:52] Do you see the Mosaic stuff?
[45:54] I have, I'm not an expert Mosaic.
[45:57] Its amazing Part 23—
[45:57] That is really cool.
[45:59] Certification by making
Part 22 much bigger.
[46:01] But type certification has been, you know,
[46:03] this interesting like blocker,
[46:04] which is if you wanted to
operate commercially in the US
[46:07] you couldn't operate under 107.
[46:08] Or if you wanted to operate
[46:09] commercially, non-visual line of site,
[46:10] you had to operate under Part 135.
[46:13] And I fear that we're
getting like, you know,
[46:14] we're really in the weeds now,
[46:16] but like, you know, I
guess the main point here
[46:18] is that like you needed to get
an aircraft type certified.
[46:20] And this is kind of the definition
[46:22] of a very painful regulatory process.
[46:24] Like it takes, you know, five to 10 years
[46:26] to get aircraft type certified.
[46:28] And it's really based on this idea of like
[46:31] a regulator is going to
look at every component
[46:32] of the aircraft
[46:35] and like independently
verify that, that component
[46:37] is meeting certain standards
that were set by the regulator.
[46:41] That might, you know, I mean,
imagine trying to do that
[46:45] in a world where like every year
[46:46] you have a radically new and
better version of technology.
[46:47] It just doesn't work.
[46:48] Yes, you guys are doing like
[46:49] progressive hardware development
[46:50] Super fast.
And constantly figuring out
[46:52] that, you know, two
fasteners is better than 43
[46:54] and other such innovations.
[46:56] You just have really,
really fast iteration.
[46:58] And so, in a world
where type certification
[46:59] takes five to 10 years,
you're dead on arrival.
[47:01] Yeah. And that's kind of what we saw
[47:03] for like five or 10 years.
[47:04] None of this innovation
happened in the US.
[47:06] I think the good news
is that in like 2020,
[47:08] the FAA kind of like woke up to this.
[47:09] They realized like, hey,
this is going to become
[47:12] one of the most important
industries in the world.
[47:14] The US needs to be a front runner here.
[47:16] We cannot be a laggard.
[47:17] And the FAA actually,
started to move super fast.
[47:20] I mean, the FAA has been,
you know, I know you think,
[47:22] maybe I'm just saying this,
[47:23] but like the FAA has actually,
been a great partner.
[47:25] Like there are so many people there
[47:26] who want to win and who
want to see the US win—
[47:29] I think the FAA is full of
[47:30] awesome people trying really hard.
[47:31] I think the rule making has been slow
[47:33] and I think exemptions and waivers
[47:35] are not a substitute for a
good regulatory framework.
[47:37] Yeah. Well, there you go.
[47:38] I mean, 108 really is
like, I think, you know,
[47:41] there have been these exemptions made
[47:42] that luckily enabled Zipline
[47:43] to like invest aggressively in the US
[47:45] over the last four years
[47:46] and experience pretty
explosive exponential growth,
[47:48] which we can talk about.
[47:49] But like, you know, 108,
[47:52] it is cool to see that now be codified
[47:54] that is just the beginning
of a process, right?
[47:56] Because now the FAA has nine
months to like actually,
[47:59] operationalize and execute
based on that rule making.
[48:02] And we'll see how that goes.
[48:04] But I think it's like,
it's super important.
[48:06] I mean, I think you and I
probably both have grown up
[48:08] reading about like the SR-71 program,
[48:12] or a lot of these programs
like to design airplanes.
[48:13] I mean, there was a
world where like the US
[48:16] was iterating incredibly fast
in aviation and aerospace,
[48:19] and we've largely lost that.
[48:21] Like our grandparents
got to grow up in a world
[48:23] where they could fly on supersonic jets.
[48:26] We can't.
Yep.
[48:27] You know, I think people have this sense
[48:28] that like the world moves
inexorably forward. It doesn't.
[48:32] Didn't you have a tweet about this?
[48:33] Maybe like, you know, I
think about it every day,
[48:36] like actually, no, sometimes
we literally move backwards.
[48:39] Yes, yes.
And in aviation,
[48:40] like what plane did you learn to fly on?
[48:42] I learned to fly on a Cessna 152.
[48:44] And how old was that aircraft?
[48:45] Yeah, it was from the
1970s, I want to say. Yeah.
[48:48] What the hell?
No.
[48:49] I was actually, just
ogling the Carbon Cub UL,
[48:52] which uses a new Rotax engine.
[48:54] So, there's this awesome
[48:56] new engine technology out of Germany,
[48:59] this company Rotax that makes them there.
[49:01] And it hasn't been in
the US certified market,
[49:04] because it hasn't been worthwhile-
[49:05] To get certification.
[49:06] To go get the engine certified.
[49:09] And now, they're selling
it in the LSA regime.
[49:14] Light-Sport aircraft.
[49:15] Exactly. It is possible there.
[49:16] And so, I think we're just going to see
[49:17] this wave of interesting new,
[49:19] because it's the kind
of pent up technologies
[49:20] that haven't been certified yet,
[49:22] such as Rotax engines,
which are better everywhere.
[49:24] Have we lost like 98% of the audience?
[49:26] By talking about 108 and 135?
[49:29] I guess but just to share one thing...
[49:30] No, but it's specific.
[49:31] One thing, like to try to make it
[49:32] even more general interest.
[49:33] Like what really inspires me, you know,
[49:35] is you think about like
Skunk Works, right?
[49:38] And like the teams that built a lot.
[49:41] It is the Lockheed Martin factory
[49:43] that made or kind of group, tiny group,
[49:45] that made all the fun new
stealth aircraft F-108
[49:48] and stuff like that.
[49:49] SR-71 even more famously like the.
[49:53] The U-2.
Yeah, exactly.
[49:54] And they didn't make F-104,
they made the F-111. Sorry.
[49:56] Yeah. And just to give
like a specific example,
[49:59] a couple examples.
[50:00] One, like the first
modern passenger aircraft
[50:04] that was ever built, the DC-3,
[50:05] I want to get everything right,
[50:07] like DC-3 was built originally...
[50:10] the entire design cost for that aircraft
[50:12] was like $2.5 million or $3 million.
[50:14] So, even when you convert
into today's dollars,
[50:16] that's like $75 million to
design a passenger airliner.
[50:20] Yeah.
[50:21] The 787 costs $32 billion to develop.
[50:23] Oh yeah, DC-3 was like napkin sketch
[50:26] to finish aircraft I think in two years.
[50:27] Yep.
[50:28] You know, the 787 took
20-25 years, $32 billion.
[50:32] It's literally, become
500 times as expensive
[50:35] to build an airplane as it
was for our grandparents.
[50:38] And I think the crazy thing
is you're going to be like,
[50:40] oh, well, it's like that 787
[50:40] is a much more complicated airplane.
[50:42] Yeah. The iPhone is also
much more complicated
[50:44] than it was five years ago.
[50:45] So, if you think about the causes,
[50:47] I think there's a great point to that.
[50:48] You know, the 787 certification process
[50:50] is so much more tortuous
than the the DC-3.
[50:53] If you think about why that is,
[50:55] I think there is a few obvious
things you could point to.
[50:59] One is, and the one people
would point all the time
[51:01] is we have much less tolerance
for unsafety than we used to.
[51:05] The second is, the
certification approaches
[51:08] are much more prescriptive.
[51:10] And so, they require that
you do specific things
[51:13] to prove how you're going
to meet various tests
[51:16] and stuff like that.
[51:17] And then maybe you could say that
[51:19] just the paper turnaround
times have gotten slower
[51:21] and you know, there's a
lot of back and forth.
[51:23] If you could wave a magic wand
[51:25] to fix aircraft certification
[51:28] either across drones or manned aircraft...
[51:31] Again, you're put in charge of the FAA,
[51:32] what would you actually do?
[51:33] I think the answer is
actually really obvious.
[51:37] And the good news is I
think this is largely
[51:39] like already happening,
[51:40] which is that we need to move away
[51:42] from like prescriptive
regulatory requirements
[51:45] that are like, "Okay, now show me the,
[51:49] life support system for the pilot
[51:50] should we lose,
[51:52] whatever atmospheric
pressure in the cabin."
[51:54] It's like it's a drone.
[51:55] There is no pilot.
[51:56] And then the FAA looks at
you like, I don't know,
[51:59] like we can't move forward, you know,
[52:00] like I think there are
a lot of things are just
[52:02] you have all these prescriptive rules
[52:04] about like how we're going to.
[52:05] Need more performance based service.
[52:06] You need performance based.
[52:07] So basically, everything
needs to transition to a world
[52:10] where like the FAA is setting
a statistical level of safety.
[52:14] And from there, like any
company can, you know,
[52:20] basically self-certify
against that level of safety.
[52:24] And you can imagine different ways of like
[52:25] what kind of data you
might have to provide
[52:27] to prove that you're meeting
that level of safety,
[52:30] but like there are a lot of different ways
[52:31] to build something that's safe.
[52:33] And what you want is like
engineering innovation,
[52:36] you want people trying new things.
[52:37] If you try something new and
it's an amazing innovation,
[52:39] it's suddenly like blowing
it out of the water,
[52:41] like with a prescriptive
absolute regulatory framework,
[52:46] you lose all of that.
Yeah.
[52:47] Because it's basically, like the FAA
[52:49] is just looking to make
sure every subsystem
[52:51] that's like the way we've been
[52:52] designing airplanes for 100 years—
[52:54] The subsystem by subsystem stuff
[52:55] is crazy rather than performance based.
[52:56] It's really painful.
Yeah.
[52:57] So anyway, I know this might be like
[52:59] a little like in whatever, you
know, shop talk or whatever,
[53:02] but I think that it's really important.
[53:05] And I also think you can
probably see similar versions
[53:08] of this battle playing out
in many different parts
[53:10] of like the US government, you know?
[53:11] When you look at the way we
build like nuclear power plants,
[53:14] you know, we created, what is it called?
[53:16] The nuclear, is it the—
[53:17] Nuclear Regulatory Commission.
[53:18] Nuclear Regulatory Commission
[53:19] started in I think like 1978.
[53:21] The commission has started to ensure
[53:23] that power plants are safe,
[53:25] and since then we've built
zero power plants, I think.
[53:28] Or is it like one?
[53:29] I think it's zero.
[53:30] Yeah. Yeah. Yeah.
[53:31] It is definitely the rate,
It's a bit painful.
[53:33] The rate slowed down.
[53:34] The commission achieved its goal though.
[53:35] Yeah. Yeah.
[53:36] Because we built zero, and
that's like painful, you know,
[53:39] as an American it's like, ah.
[53:42] You're describing failure
[53:43] to engage with trade off space—
[53:45] Yeah.
[53:47] In an intellectually honest way
[53:48] where there's a trade off
between safety and cost
[53:50] and you just have to actually,
address those questions.
[53:53] And there's a trade off in
speed and say these things.
[53:55] And the cool thing in aviation is that
[53:58] like there's now 50 years
of pent-up technology
[54:01] that is totally not
been put to work at all.
[54:04] It's actually very similar.
[54:05] I think it's why SpaceX
is like this, you know—
[54:07] Totally.
Enormous success.
[54:08] Like, because they were like, oh yeah,
[54:09] we'll just actually, use
modern microcontrollers.
[54:12] Yes, yes, yes.
Or modern semiconductors.
[54:14] Whereas like, you know, ULA was
building on a semiconductor,
[54:19] you know, architecture I
think was like 30 years old,
[54:21] because they just didn't want to certify
[54:22] a new flight computer.
[54:24] And so, you've launched in Texas now?
[54:27] Just Texas in the United States?
[54:28] Well, we launched
originally in Bentonville
[54:30] and now we're expanding in Dallas.
[54:31] Okay. So, you're expanding in Dallas
[54:33] and delivering for people
like Walmart and Chipotle.
[54:36] And where else should people
be ordering from in Dallas?
[54:39] I mean, you can just
go to the Zipline app.
[54:41] Okay.
So yeah.
[54:42] And we have all the different
storefronts on there.
[54:43] You go to Zipline,
[54:44] download the Zipline app.
Those are the big ones.
[54:45] Yep. Those are the biggest.
[54:47] And I mean, you know, to give a sense,
[54:48] right now we're launching—
[54:49] Give me your explosive growth stats.
[54:50] I mean it's kind of crazy.
[54:51] It's really only the last three months,
[54:52] but we're now launching a
Walmart Supercenter every week.
[54:56] You know, those stores are
ramping extraordinarily fast.
[54:59] I mean, I don't know exactly
how much I'm allowed to share.
[55:01] It's probably more for Walmart to share.
[55:03] Give some more magnitude.
[55:04] I mean, order of magnitude, you know,
[55:07] the service is becoming quite large
[55:09] relative to the way that people receive.
[55:12] That is not relative.
[55:14] How many drones do you're
flying in the Dallas area?
[55:16] Yeah, so right now
[55:17] we are integrated with about 10 Walmarts
[55:21] and we're launching one a week.
[55:22] And each Walmart will have somewhere
[55:25] between like eight and
20 Zips flying from it.
[55:28] So, it gives you like.
[55:29] So, you have hundreds of drones.
[55:31] Yeah.
[55:32] Now, delivering in the Dallas area.
[55:33] Serving, you know,
[55:34] and I mean the crazy thing is the service.
[55:35] And each drone can do
hundreds of deliveries a day?
[55:39] Like I think,
10 each.
[55:40] Yeah, high tens is the
way I think about it.
[55:42] So, you have the capacity
for a thousand-ish,
[55:44] thousands of deliveries a day.
[55:45] Yep. That's the way I think about it,
[55:46] and that's growing rapidly.
[55:47] We're actually expecting to get
[55:48] to 10,000 deliveries a day in Dallas.
[55:50] Like that's actually, the company's goal—
[55:51] Great.
[55:52] Moving as fast as we can toward that.
[55:54] Looking at the statistics,
the service has been growing
[55:56] 25% to 30% week over week
for the last three months.
[56:00] And the interesting thing—
That's cool.
[56:01] The last couple things.
[56:02] I mean, really it's only the
last three months that like,
[56:04] because we only launched in Dallas
[56:05] on April 1st or April 4th I think.
[56:08] Yeah.
[56:09] So, seeing it grow like that,
[56:10] the crazy thing is that about a month ago
[56:12] we were starting to have
all these capacity issues,
[56:14] because it's like we, you know,
[56:15] we can't do as many deliveries.
[56:16] It's growing really fast.
[56:18] So, we decided to turn
off all the marketing.
[56:20] We turned off the in-app notifications,
[56:22] we turned off the field service marketing.
[56:24] Basically, all the demand
generation marketing
[56:26] we're not doing,
[56:27] and the service, just like,
[56:29] you know, I mean we hit new records.
[56:30] Because it's just a much better product.
[56:31] Yeah. Saturday we hit a new record,
[56:33] like all-time daily delivery record.
[56:35] And then on like two days ago,
[56:37] and then yesterday we blew that record
[56:39] out of the water by 20%. It's crazy.
[56:42] So, I think that, you
know, a couple takeaways,
[56:45] like one is that it is amazing
how quickly science fiction
[56:48] becomes entitlement.
Normal.
[56:50] Like, you know.
[56:51] We see this with Waymo in San Francisco.
[56:53] It's exactly like Waymo
[56:54] where people get in and they're like,
[56:54] "Oh my God, autonomous car, insane."
[56:57] And then three minutes later
[56:57] they're like scrolling
on Instagram, you know?
[56:59] And I mean, when you go
to Dallas and you just.
[57:01] What's the version of that in Dallas?
[57:02] I think the version in Dallas
is that like, you know,
[57:04] for the first day that
we launch a new Walmart,
[57:06] you'll see people kind of
[57:07] like on the hoods of their cars
[57:09] just like watching the service operate.
[57:11] You know, like people
are kind of taking note
[57:12] and then three days later people
[57:14] are just totally going
about their normal lives.
[57:15] Yeah.
Do not care.
[57:17] You've got this like, installation
of autonomous aircraft.
[57:19] They're just coming and going
nonstop at crazy volume.
[57:22] Yeah.
[57:23] You know, I think the
other example is like,
[57:25] I mean I visited a 78-year-old grandma
[57:27] who's ordered 340 times from
Zipline over the last year.
[57:31] She's been like the country—
[57:32] I was going to ask are
you seeing induced demand
[57:34] that had like—
This induced demand.
[57:35] Where people are ordering more stuff?
[57:37] It's crazy.
[57:38] Like she's been, I think the county clerk
[57:39] for 40 years straight.
[57:41] And you know, she's just
showing me, she's like,
[57:42] "Oh yeah, like let's
place an order right now."
[57:43] And she's like around
on her iPhone, you know,
[57:46] putting everything into her basket.
[57:47] She's like, double click
the side of the phone,
[57:49] face ID, Apple Pay.
[57:50] She's like, "It's on its way.
[57:51] It'll be here at eight minutes, you know?
[57:52] She's 78?
She's 78
[57:53] and she's totally living in the future.
[57:55] And you know, or you talk
to like moms who are like,
[57:58] oh yeah, this, you know,
[57:59] buys me back like three
or four hours a week.
[58:01] I can just like be with my kids
[58:03] or like take care of the family
[58:04] rather than be like out in a car
[58:05] trying to shop or get something.
[58:07] So, I think a lot of
families we're seeing now
[58:09] ordering like three to four
times a week on average,
[58:11] where they'll do like a
big grocery run once a week
[58:14] and then they can do three to four.
[58:16] Sometimes they talk about
them as like top up visits
[58:19] where it's like, if you don't know
[58:20] what you're making for dinner,
[58:21] or are you like something unexpected,
[58:22] or you have people over,
[58:23] you just get everything you
need delivered autonomously.
[58:25] Why can we not have this in California?
[58:28] Why are you in Texas and not California?
[58:30] Because like, I would've thought
[58:31] from a regulatory point of view,
[58:32] this federal preemption of the airspace,
[58:34] and so, I would've thought
all places are equal.
[58:36] Why is Texas a more hospitable environment
[58:38] for this than California?
[58:40] You could ask the same
question about Rwanda.
[58:41] I mean I think that, you know,
Zipline has probably been—
[58:43] Rwanda had a different
regulatory framework,
[58:44] like your drones are banned in the US
[58:45] whereas drones aren't
banned in California.
[58:47] No. However, you know,
[58:51] a lot of what we do is
still about a partnership
[58:53] with like the community
and the government.
[58:55] I see, you need a permit from,
[58:56] for the base or whatever.
Still need a permit
[58:57] to build like, yep, exactly.
[58:59] We're still permitting
[59:00] the ground infrastructure for example.
[59:01] It's a bit like, you know,
[59:02] Tesla building supercharger
infrastructure in the US.
[59:05] Who do I need to write a letter to?
[59:06] Is it by mayor?
[59:07] We're working on it.
[59:08] Is it my local representative.
[59:09] Yeah, we're working on it.
[59:10] But to be honest, like as someone
who lives in the Bay area,
[59:13] and so, like 100% feels your pain.
[59:15] It's like why is this not like
serving my house right now?
[59:17] Like the vast majority of technology
[59:19] has first focused on serving
like, you know, whatever,
[59:22] the elite cities on the
coast of the United States.
[59:24] I actually think it's okay
[59:26] that for once like
technology is kind of going—
[59:28] Because this works better
in a low-density area.
[59:29] It's going the opposite.
[59:30] Well, it's actually, I mean
Dallas is very high density.
[59:33] Like, I mean it's not Manhattan,
[59:35] but it's probably denser
than San Francisco.
[59:37] I wouldn't say it's as much about density.
[59:39] It is a lot about like, you know,
[59:41] we typically, want to launch somewhere
[59:43] where people are freaking
psyched to have us.
[59:45] And where there isn't, you know,
[59:47] I do think there's a
little bit of a flavor.
[59:48] I mean you had Kyle on here, right?
[59:50] And like seeing what Cruise
went through in San Francisco
[59:52] with the conning of the cars.
[59:53] Our war on electric scooters
here in San Francisco.
[59:57] Hey, I'm not judging.
[59:58] But we have a new mayor, Daniel Lurie.
[60:00] I know. He's doing awesome.
[60:01] He's doing great.
[60:02] I think that, look, I just think that
[60:04] sometimes cities might, you know,
[60:06] if they just assume that they're always
[60:07] going to have the best technology
[60:08] and that like they
don't have to, you know,
[60:10] do anything about, or I don't know.
[60:12] I think that there are a lot
of cities and states out there
[60:15] that like are 100% like
aggressively courting, you know,
[60:20] infrastructure, new solutions,
they want high-paying jobs,
[60:24] and they're like unapologetically
[60:27] excited about new technology.
[60:28] So, you're going to go to the
cities that want you first,
[60:30] and then you can get around to the cities
[60:32] that are more ambivalent.
[60:34] I think what's going to
happen is that at some point,
[60:36] you know, again, there
are like certain cities
[60:39] that are just extremely forward-leaning.
[60:42] Like an example, I brought
one of our board members
[60:45] from San Francisco, you know,
[60:48] leads one of the biggest
funds in the world
[60:50] here in San Francisco to Dallas
[60:52] and he was like looking
at what we were doing
[60:54] and his, I mean, I could see the smoke
[60:56] coming out of his ears.
[60:57] He was like, "Oh my God, you
guys are just doing things."
[61:01] You know, we went to a site
[61:03] where we were building
charging infrastructure
[61:05] and we had literally, broken
ground three days previously.
[61:07] There was a huge hole in the ground
[61:09] and he was like, "so, when
is this going to be online?"
[61:11] And I was like, "It's going tobe online
[61:12] in 15 days before the board meeting."
[61:14] We had a board meeting in 17 days.
[61:15] And he was like, "That's insane.
[61:17] It is not going to be ready
for the board meeting.
[61:18] What are you talking about?"
[61:19] And it was actually ready like
[61:20] five days before the board meeting.
[61:22] Basically, different kinds of cities
[61:24] have different requirements
[61:25] and like there are places in the US
[61:26] where you can get things
done super, super fast.
[61:28] Yeah.
[61:33] We are here in south San
Francisco just down the road
[61:35] from your aircraft manufacturing facility.
[61:37] Tell me about that.
[61:38] You know, how do you build them?
[61:40] How many are you building?
[61:41] How many will you build?
[61:42] You know, the most important thing
[61:43] is the speed of engineering iteration.
[61:46] I think you'll appreciate this.
[61:47] You know, that's something
I think that's been
[61:49] a very well understood
concept in software companies.
[61:52] Not so well in hardware.
[61:53] Way harder to do in hardware.
[61:55] And so, the way to do that
is full vertical integration
[61:58] and then having engineering
[62:00] practically on top of manufacturing
[62:02] so that like as you're rolling
[62:04] hardware changes through onto the line.
[62:06] You have like the engineers
who design those changes
[62:08] working with manufacturing engineers
[62:09] and then working with the
people on the line itself
[62:11] to like figure out how to make that work
[62:13] and get it into production.
[62:15] And so, even though it seems
like a bit of a weird thing
[62:17] to say, like, "Yeah, we're
producing all these aircraft
[62:19] here in South San Francisco."
[62:21] The value of us being fully
integrated in that way,
[62:24] what it does for the speed at
which the plane can iterate
[62:27] and evolve the product is
way more valuable than like,
[62:30] "Oh, it's more expensive to hire someone
[62:32] in South San Francisco
than it is in Nevada,"
[62:35] or something like that.
[62:37] So, it's an easy trade.
[62:38] So yeah, this facility...
[62:39] and we just expanded
to 160,000 square feet,
[62:42] it'll be capable of building
[62:43] around 50,000 aircraft a year at scale,
[62:47] which should get us to
like near national scale
[62:49] in the United States.
[62:51] 50,000 aircraft a year.
[62:53] And how many aircraft will like
[62:54] a medium sized city require to support it?
[62:57] I think it's like around 1,000.
[62:59] It depends on the city.
[63:00] Cities come in a lot of
different shapes and sizes.
[63:02] Yeah. Okay. Yeah.
[63:03] So, 50,000 a year is really a lot
[63:06] Compared, you know, again,
[63:07] it depends what you're comparing to.
[63:08] If you're comparing to
iPhones, not really,
[63:09] but if you're comparing to like airplanes,
[63:11] then like, yeah, really a lot.
[63:12] Like compared to the Cessna—
[63:14] Yeah, exactly.
You learned to fly in.
[63:15] Yeah. Okay.
[63:17] And so, you'll be able to,
[63:18] in your current production
facility in South San Francisco
[63:20] produce 50,000 drones a year?
[63:21] Yeah. Three shifts. 24/7 operations.
[63:24] That's great.
[63:24] We already operate our test sites 24/7.
[63:26] Huh. What do you do with the test sites?
[63:28] What do you test?
[63:30] Yeah, I think, you know,
[63:31] when people come visit the test sites,
[63:33] I think that's one of
the things about Zipline
[63:34] that is most mind-blowing to people.
[63:36] And I think it's just,
it doesn't really look
[63:38] like anything people have seen before.
[63:42] You know, people often
ask us, they're like,
[63:43] "Wow, 120 million
commercial autonomous miles
[63:45] and zero safety incidents, why
don't other people do that?"
[63:49] I mean it turns out that, you know,
[63:51] designing something that's safe is hard.
[63:54] Reusable rocket, that's a good idea.
[63:55] Yeah, exactly.
[63:57] It's like, yeah, everybody
should just do it.
[63:59] It turns out some of these
things are hard to do.
[64:01] And I think the way you do it is
[64:03] it's all just like, you
know, none of this is fancy.
[64:05] It's just practical problem solving.
[64:06] And so for us it was like
having three major layers of,
[64:11] you know, testing and validation.
[64:12] So, the first layer is
like software testing.
[64:14] We do a huge amount of testing, you know,
[64:17] at 10 or 100 times real-time speed
[64:20] to like test all the
different software systems
[64:23] that we are constantly iterating.
[64:25] And there's, you know, 10 times
[64:26] as much software as there is hardware.
[64:27] So, this is like the airplane avoidance
[64:30] you were describing?
Yep.
[64:31] It's like you input a signal of like,
[64:32] oh, you're near an airplane
[64:33] and check that it avoids the airplane
[64:35] in a different fashion?
Yeah.
[64:35] Autonomy, computer vision, you know,
[64:39] guidance navigation controls,
communications architecture,
[64:42] all the backend cloud services
like these can all be,
[64:45] you know, you can do a huge
amount of software testing.
[64:47] Because I think the other
major way to think about...
[64:50] What is the problem we're trying to solve?
[64:51] Do you know how long it takes Boeing
[64:52] to do a software update?
[64:55] A lot of time, I'm guessing.
[64:56] You want to guess?
[64:57] No.
You don't want to guess?
[64:58] I'm too horrified.
Come on, guess.
[65:00] Like from from when to when?
[65:03] For example, from when they realize
[65:04] that their planes are falling out the air
[65:05] and killing people—
I see. Sure.
[65:06] To when they can then have
the software update out.
[65:09] And so, the airplane's back in the air.
[65:10] I mean order of a year?
Three years.
[65:12] Oh, that long?
Yeah.
[65:13] Again, this is part of the problem
[65:15] of like how the FAA regulates software
[65:16] with those kinds of aircraft.
[65:18] But, you know, Zipline right now
[65:19] is doing a full new version.
[65:22] Like we're releasing new software versions
[65:25] to the entire global fleet every 30 days.
[65:27] And so, validating that, you know,
[65:29] basically, it might be, you
know, 50 to 100 bug fixes.
[65:34] Maybe, you know, 20 to 50
performance improvements
[65:37] and then like five to 20
[65:39] major feature additions or upgrades.
[65:42] And that gets validated through
the software testing layer.
[65:45] Then it gets validated through HITL,
[65:47] which hardware in the loop testing.
[65:49] It's basically like all of
the avionics of the aircraft
[65:51] assembled on shelves that are kind of like
[65:54] the brain of the aircraft
connected to the matrix.
[65:57] They're all operating in simulation.
[65:58] We can detect like 95%
[66:00] of what's going to go
wrong on an aircraft,
[66:02] we can detect in HITL.
[66:03] Before we then go to the final layer,
[66:05] which is the test sites.
[66:06] Test sites have hundreds
of aircraft operating 24/7.
[66:10] So, they never stop.
[66:11] Even, you know, Saturday at like 3:00 am
[66:14] you could go to the test site
[66:15] and you'll see like the
aircraft are just there
[66:17] and there are humans overseeing them.
[66:18] You're describing your build manufacturer
[66:22] testing infrastructure
in the United States.
[66:25] One of the top discussed topics
[66:28] right now is American dynamism,
[66:31] the reemergence of American manufacturing.
[66:34] And when people talk in DC
[66:36] about the importance of
American manufacturing
[66:38] and the criticality of the supply chain
[66:41] in the United States, you know,
[66:44] the example they often
point to as a supply chain
[66:48] that we have outsourced
is obviously drones.
[66:50] Drones where there is
not kind of as serious—
[66:55] I thought you're going
to say semiconductors.
[66:56] Oh, well, semiconductors—
[66:57] Semiconductors is like even more scary—
[66:58] Semiconductors get talked about a lot.
[66:59] Yeah, yeah, for sure.
[67:01] But you know, there's the headlines
[67:02] about Intel and everything,
[67:03] but people also talk a lot about drones
[67:04] and just how much more scaled up
[67:07] the Chinese drone industry is
than the US drone industry.
[67:10] People also talk about the
fact that it's not competitive
[67:13] to manufacture in the
United States anymore,
[67:15] because supply chain, I don't know,
[67:16] did you read the "Apple in China" book?
[67:17] It was like a pretty good—
[67:18] I've heard of it. I haven't read it yet.
[67:19] It's great. And it's like
a good history of Apple's
[67:22] manufacturing in China.
Why did this happen?
[67:24] Yeah. And they describe
kind of the emergence of it,
[67:25] but in particular, you
know, people sometimes
[67:27] thought of China as just low wage.
[67:29] Whereas the book correctly describes
[67:32] just how much agility there
was in adapting supply chains
[67:35] and being able to manufacture there.
[67:37] And so, you are a company manufacturing
[67:40] at scale in the United States.
[67:42] What do you think of this topic?
[67:43] Yeah. To put a finer point on it.
[67:46] In a week, China makes more drones
[67:48] than the US makes in a year.
[67:50] That is a finer, finer point.
[67:51] Yeah. So, you know, it's a little spooky,
[67:52] and obviously, you know,
you don't have to be like
[67:56] a deep student of global
events to understand that.
[68:00] Like, wow, I mean this
technology's clearly
[68:02] kind of a like remaking
not just industries,
[68:04] but remaking warfare,
and that's their power.
[68:05] And people watch the war Ukraine
[68:07] where it is now all drone
determined from airspace.
[68:11] 100%, like everything is attritable
[68:13] and like you wouldn't want
humans on the battlefield at all.
[68:16] And I think this is like a
good news, bad news thing.
[68:19] So the bad news is like, yeah, it's true.
[68:21] You know, China has like
massive manufacturing advantages
[68:24] and massive scale in this area
[68:26] that the US does not currently have.
[68:28] But that is mainly for like, you know,
[68:31] plastic quadcopters that cost $1,000.
[68:33] Like it's definitely a
different class of aircraft.
[68:35] When you look at like
where this is all going,
[68:38] the systems that are
really going to matter,
[68:39] whether it's like military or logistics,
[68:43] they aren't like $1,000 quadcopters,
[68:45] they're more complicated technologies.
[68:47] They require really strong
integration of like, you know,
[68:50] software, AI solutions
with the hardware itself.
[68:53] And again, the hardware is only like
[68:55] 10% of the complexity
of the overall solution.
[68:57] So, in those areas, the US is
actually leading, you know?
[69:01] The US is leading both in terms of
[69:03] I think drone delivery and logistics,
[69:05] but also, you know, leading
on the software side.
[69:08] That's right. Those areas being?
[69:10] I would say like more advanced
[69:13] hardware, software integrations
that are required for like
[69:17] really good products for military
[69:18] and really good products for logistics.
[69:20] Okay.
[69:21] So, when we're talking
about the 50x, that's like,
[69:22] because you have DJI in China
[69:24] or like that, you know,
[69:25] they're building 10,000
for like drone light shows,
[69:28] those kinds of things.
[69:29] That is not necessarily the battlefield
[69:32] that is going to determine, you know,
[69:35] who really like is the front runner
[69:37] in the industry that matters the most.
[69:39] And so, I think that
it's too early to say.
[69:42] I think, you know, China
has obvious advantages
[69:44] and that like they have
massive manufacturing scale.
[69:47] You mentioned the Apple supply chain book.
[69:50] That is a huge reason.
[69:51] The fact that Apple outsourced
so much of that manufacturing
[69:54] and so much of that knowledge
[69:55] and expertise is now in Shenzhen,
[69:57] like now Shenzhen's ability
[69:58] to build phone adjacent products,
[70:00] which I think you could
definitely describe drones.
[70:02] Even cars you could describe
as phone adjacent now.
[70:05] Sure as, yeah.
[70:06] Xiaomi will tell you.
Xiaomi, yeah,
[70:08] or Tesla could attest, you know?
[70:11] It's actually those supply chains
[70:12] that make it possible
to then like branch out
[70:14] and build a lot of these
other products way faster.
[70:16] So, that's the advantage that China has.
[70:18] The advantage of the US
has is like a lead in AI,
[70:20] a lead in more advanced hardware
and software integrations.
[70:24] I don't know who's going to win.
[70:26] Yeah. The point the book makes is that
[70:28] Apple's direct investment
in China is much larger
[70:31] even in inflation adjusted
terms than the Marshall Plan—
[70:35] It's insane.
In Europe
[70:36] where it's just a kind
of a huge investment
[70:38] in manufacturing capability.
[70:40] I was thinking about that on the way here.
[70:42] How that's going to look, you know,
[70:44] with the benefit of hindsight.
[70:46] Corporations sometimes make like
[70:48] the easy short-term
decision to maximize profit
[70:51] instead of like the more
strategic decision of like
[70:53] how do we set ourselves
up for long-term success?
[70:56] And it really does not seem
like it would be that hard to,
[70:59] you know, ensure like to achieve
some of the company goals
[71:03] that a company like
Apple wanted to achieve,
[71:05] but also ensure that you, you know,
[71:08] maintained like manufacturing
dominance and kept it at home.
[71:11] Or at least ensured that you
that as a strategic option.
[71:14] Like the fact that we're
now in a position where
[71:17] we don't have the ability
[71:18] to build our own smartphones period.
[71:21] And where, you know, depending
on what happens with Taiwan,
[71:24] we not may not have the ability
[71:25] to even build modern
computers. It's spooky.
[71:30] Last question.
[71:31] You're one of the success stories
[71:34] that people hold up in hard tech
[71:38] where you've built a product
[71:39] that is a now successful business line.
[71:42] You found a good way to start
[71:44] that wasn't too capital consumptive,
[71:46] were able to get like a real
product out there in the field
[71:48] and refine it from there.
[71:50] And now, you have a product
[71:52] that people love in several countries.
[71:53] What advice would you have
[71:55] for hard tech founders starting out today?
[71:57] It certainly seems to me like, you know,
[71:59] the whole American dynamism,
what do you call it, you know,
[72:02] paradigm that we kind of see,
[72:04] I think it's making things easier.
[72:06] When I moved to the Bay Area in 2013
[72:10] with the goal of kind of building Zipline,
[72:12] the most exciting company in the entire,
[72:16] in all of Silicon Valley,
probably in the entire US,
[72:18] was a company doing file sharing.
[72:20] You know, it was Dropbox,
[72:21] and they had like the best
engineers, the best growth story,
[72:25] the most ambitious vision.
[72:27] And it was, I think at that
time like a $5 billion company,
[72:30] which is like more money
[72:31] than I could possibly imagine, right?
[72:32] And that was like the pinnacle
of what you could achieve
[72:35] in terms of building a
startup in Silicon Valley.
[72:37] And so, it's interesting to
think that in just 12 years,
[72:42] like the scope and scale of human ambition
[72:44] has radically increased.
Yes.
[72:48] I mean, whether it's Tesla,
or SpaceX, or Stripe,
[72:51] or you know, OpenAI,
[72:53] or you know, Brian Armstrong
was on here, right?
[72:56] He is like working on NewLimit.
[72:57] They're trying to make humans immortal
[73:00] and a lot of these ideas are
like working and scaling.
[73:03] There are people building
nuclear fusion power plants.
[73:07] I think that's like kind of
probably underappreciated
[73:11] just how much change has
happened in just 12 years.
[73:14] And I think that, you know, I
guess to answer the question,
[73:17] my biggest advice is that I think,
[73:19] especially when it comes to hard tech,
[73:20] like the whole challenge is just
[73:22] designing something like incredibly simple
[73:24] and getting it into the real world quickly
[73:26] and learning by doing.
[73:27] It's very easy to be in a bunker
[73:29] or an R&D lab building cool technology.
[73:32] Really hard to like force
yourself into the real world
[73:34] and then learn by doing.
[73:36] I think that, that like Zipline, you know,
[73:37] we never thought we
were the smartest team.
[73:39] We never thought...We were certainly
[73:40] not the best funded team,
[73:42] but we always had this
like deep conviction
[73:44] that we were the most practical team,
[73:46] and we had this mission
that really inspired us.
[73:48] We knew exactly what we needed to do,
[73:50] it was like deliver to those 21 hospitals.
[73:52] And we forced ourselves
to launch something
[73:54] that to even our own eyes
we were quite embarrassed.
[73:57] It's like, oh my God,
like is that going to...
[73:58] I mean, are people going to put up
[74:00] with that delivery experience?
[74:01] And it turned out that like even that
[74:02] very simple version of the
product scaled very fast.
[74:05] And so, I think that it sounds
obvious when you say it,
[74:08] and yet, it's extremely rare,
[74:10] especially in hard tech companies.
[74:12] Keller, thanks for coming by.
[74:13] Yeah. Thanks, John.