Veilion Debuts ERP App Builder With Client GPU Reinvestment

Ai4

Veilion couples automated backend schema mapping with client-funded GPU clusters to fix non-functional code generation and cut enterprise token expenses.

AI-assisted summary of Presentation by Veilion — original source. Check the original for full context.

Source published: 2026-08-17

Detailed notes

## Background Published on YouTube by the Ai4 channel on August 17, 2026, this video features a conference presentation from Adam Winer, Founder and CEO of Veilion. According to the page description, the session showcases a live on-stage demonstration of the Veilion application.

## TL;DR Adam Winer presents Veilion, an end-to-end enterprise data platform designed to bridge legacy ERP systems with modern application workflows without succumbing to LLM context explosion. Powered by an underlying Apache Spark engine, a custom 'Hivemind' project graph, and the autonomous 'Nexus' transformation agent, the platform enables both non-technical analysts and engineers to build multi-tool data pipelines and zero-dependency front-end interfaces. Winer demonstrates pre-built integrations across 1,066 enterprise connectors, automated OAuth and resource provisioning via the Mobbin-integrated Flow Studio, and dependency-aware project tracking. He also introduces an enterprise business model where contract fees are reinvested into dedicated GPU clusters to subsidize localized model training and long-term token usage.

## Atmosphere & style Delivered as a rapid-fire, pragmatic live demonstration, Winer speaks with the grounded credibility of a practitioner who climbed the ranks from help desk admin to Palantir developer. Rather than presenting abstract AI hype, the talk carries a focused, no-nonsense rhythm as Winer navigates live prompts, running the platform locally to circumvent venue Wi-Fi unreliability. The presentation feels intensely practical, pairing product ambition with a constant awareness of developer frustrations—routinely addressing unglamorous operational realities like enterprise VPN latency, runaway token expenses, and brittle downstream ETL breakages.

## Key takeaways - [00:04](https://www.youtube.com/watch?v=BUz3UlJKdps&t=4s) Veilion bridges enterprise ERP systems with modern applications using a custom 'Hivemind' graph index that structures project context and prevents LLM context window explosion. - [01:53](https://www.youtube.com/watch?v=BUz3UlJKdps&t=113s) The Nexus transformation agent supports zero-cost lightweight compute in local RAM alongside Bring Your Own Cloud (BYOC) deployment on AWS and GCP. - [01:53](https://www.youtube.com/watch?v=BUz3UlJKdps&t=113s) Platform-wide global branching enables engineering teams to prototype and test breaking changes in isolated sandbox environments. - [03:39](https://www.youtube.com/watch?v=BUz3UlJKdps&t=219s) A pre-built catalog of 1,066 data connectors allows non-technical business systems analysts to query and extract enterprise data using natural language. - [03:39](https://www.youtube.com/watch?v=BUz3UlJKdps&t=219s) Security is maintained through per-organization dedicated Azure Key Vault instances that isolate API credentials and connection configurations. - [05:21](https://www.youtube.com/watch?v=BUz3UlJKdps&t=321s) The front-end Canvas renders trigger-based animations natively in DOM/CSS, eliminating dependency bloat and UI lag over corporate VPNs. - [05:21](https://www.youtube.com/watch?v=BUz3UlJKdps&t=321s) The Blueprint view provides end-to-end data lineage, visually mapping user interface components directly to backend datasets, APIs, and functions. - [07:35](https://www.youtube.com/watch?v=BUz3UlJKdps&t=455s) Veilion Flow Studio pairs with Mobbin MCP to solve superficial 'vibe coding' by automatically binding real backend APIs, OAuth authentication, and functional button logic. - [07:35](https://www.youtube.com/watch?v=BUz3UlJKdps&t=455s) An enterprise GPU reinvestment model directs long-term software fees into client-dedicated GPU clusters to support fine-tuned local LLMs and reduce token costs. - [10:16](https://www.youtube.com/watch?v=BUz3UlJKdps&t=616s) A dual-track documentation engine automatically generates in-depth technical specifications for developers alongside ROI and strategic roadmaps for leadership. - [10:16](https://www.youtube.com/watch?v=BUz3UlJKdps&t=616s) Automated roadblock detection monitors underlying ETL and ERP pipelines, dynamically recalculating project burndown timelines when dependencies fail. - [12:42](https://www.youtube.com/watch?v=BUz3UlJKdps&t=762s) Automated resource brokerage provisions third-party accounts (such as Stripe) directly within the flow builder, supported by white-label licensing for consultancies.

## Detailed walkthrough ### [00:04](https://www.youtube.com/watch?v=BUz3UlJKdps&t=4s) Introduction, Career Background, and the Hivemind Architecture

Adam Winer introduces himself as the founder of Veilion, an enterprise data analytics platform designed to bridge the gap between enterprise resource planning (ERP) systems and modern application solutions. Reflecting on his career journey, Winer recounts starting at the bottom as a system administrator managing Jira tickets and working help desks before progressing through networking, cloud compute analytics, data science, full-stack engineering, and contractor-to-contractor (C2C) Palantir development. This trajectory inspired him to create a robust, end-to-end platform accessible to enterprise teams regardless of technical skill level. While the platform is fully deployed and hosted in production, Winer runs the live conference demonstration locally to safeguard against venue Wi-Fi instability.

```mermaid flowchart TD accTitle: Veilion System Architecture Overview subgraph DataPlane["Data & Compute Layer"] DC["1,066+ Data Connections"] --> Vault["Per-Org Azure Vault"] Vault --> Nexus["Nexus Agent & PySpark Engine"] Nexus --> Storage["Local RAM / BYO Cloud (AWS/GCP)"] end

subgraph CorePlatform["Veilion Core & State"] HM["Hivemind Graph Index"] --- Branching["Global Branching Engine"] Nexus --- HM end

subgraph AppPlane["Application & Delivery Layer"] HM --> Canvas["Lightweight Canvas (DOM/CSS)"] HM --> FlowStudio["Flow Studio (Mobbin MCP)"] FlowStudio --> Docs["Dual-Track Docs (Tech & Business)"] end ```

Winer showcases the platform's foundation: a custom-built "Hivemind" that automatically indexes and maps every file generated in a project directory, spanning HTML, React, JavaScript, and custom PySpark compute pipelines on Apache Spark. The visual graph is not meant for manual human reading; instead, it provides structured context and a semantic roadmap for large language models (LLMs) to query underlying project structures without suffering from context window explosion.

- **Career Path:** Progressed from Jira admin to support desk, networking, cloud analytics, data science, full-stack engineering, and C2C Palantir developer. - **Custom Engine:** Employs an embedded Apache Spark / PySpark data compute engine alongside native web asset indexing. - **Context Protection:** Hivemind graphs file nodes to supply precise context to LLMs while preventing prompt bloat.

---

[01:53](https://www.youtube.com/watch?v=BUz3UlJKdps&t=113s) Nexus Transformation Agent, Compute Options, and Global Branching

Winer transitions to "Nexus", an autonomous data transformation agent equipped with specialized skill sets. To respect his tight presentation schedule, Winer presents a pre-prompted workflow configured to build a competitive market research dataset tracking automotive competitor quarterly sales. As Nexus executes multi-tool workflows, the user can inspect expanded context trees showing real-time database scaffolding, automated schema definitions, and PySpark triggers.

The platform offers two execution paradigms: lightweight transforms and full-scale compute runs. Lightweight transformations process workloads using local RAM, making them functionally free of compute surcharges. For heavier enterprise workloads, Veilion supports a Bring Your Own Cloud (BYOC) model across AWS and Google Cloud Platform (GCP) to minimize cloud spend. Additionally, Veilion features platform-wide "global branching", allowing engineering and R&D teams to prototype, test, and isolate breaking changes in an experimental sandbox without compromising production environments.

- **Automated Workflow:** Nexus automatically identifies tool calls, synthesizes database schemas, and triggers transformation jobs. - **Cost Reduction:** Local RAM compute provides zero-cost lightweight transforms; native BYOC integrations eliminate vendor markups on cloud compute. - **Global Branching:** Platform-level version branching isolates experimental prototypes and R&D pipelines.

---

[03:39](https://www.youtube.com/watch?v=BUz3UlJKdps&t=219s) 1,066 Data Connections and Azure Security Architecture

Veilion includes an out-of-the-box catalog of 1,066 pre-built data connections. Winer demonstrates an integration with 1Password, illustrating how the system surfaces pre-configured API endpoints so that non-technical users—such as Business Systems Analysts (BSAs)—can query and extract data using natural language rather than writing API scripts. A BSA can simply ask the agent to pull specific records, creation timestamps, and update intervals, and the agent automatically handles the data retrieval.

Winer tests his personal GitHub connection, triggering a report generation that returns a verified `200 OK` status across the active endpoints. To safeguard sensitive credentials and enterprise records, each tenant organization is isolated within its own dedicated Azure Key Vault instance, where all data connections and Hivemind indices are maintained under enterprise security standards.

- **Pre-Configured Integrations:** Over 1,066 enterprise connectors featuring automated API endpoint definitions. - **BSA Enablement:** Non-technical analysts can extract structured data via conversational requests. - **Security Isolation:** Tenant secrets and API keys are isolated in dedicated Azure Key Vault instances linked directly to the Hivemind.

---

[05:21](https://www.youtube.com/watch?v=BUz3UlJKdps&t=321s) Lightweight Front-End Canvas, Prompt-Based UI, and Blueprint Lineage

Winer presents the front-end authoring environment, demonstrating an interactive "Canvas" workspace. He displays a fully responsive landing page for a fictional seltzer brand generated from a single natural language prompt. The interface features rich, trigger-based animations executed entirely in native CSS and the Document Object Model (DOM) without importing heavy third-party React animation libraries. This approach ensures zero compute bloat or latency when accessing apps over enterprise VPN connections.

For client-facing consultancies, Winer highlights how a comprehensive interactive mockup can be generated in under 10 minutes at an LLM token cost of approximately $5. Developers retain complete access to underlying code repositories, while non-developers can inspect the "Blueprint" view—a visual data lineage map that traces UI components back to underlying datasets, backend functions, and API integrations.

- **Zero-Dependency Animations:** Native DOM/CSS animations prevent VPN latency and UI lag on corporate devices. - **Rapid Prototyping:** Complete production-grade web mockups produced from single prompts in ~10 minutes for ~$5 in token costs. - **Blueprint Lineage:** Visual system tracking application buttons, states, and flows directly to underlying datasets.

---

[07:35](https://www.youtube.com/watch?v=BUz3UlJKdps&t=455s) Veilion Flow Studio, Mobbin Integration, and GPU Contract Reinvestment

To prevent runaway LLM costs during application scoping, Veilion features the "Veilion Flow Studio". Winer demonstrates how users can query design inspiration via an integrated Mobbin Model Context Protocol (MCP) tool. Users can search for mobile or desktop UI patterns (e.g., fitness applications), select reference screens, and automatically map them into their application flow.

Winer points out a frequent flaw in generic "vibe coding": generated interfaces often look polished but lack real backend integrations, leaving buttons non-functional and omitting OAuth authentication. Veilion's Flow Studio automatically maps buttons, OAuth flows, and APIs on the backend as screens are staged. Winer also introduces a novel infrastructure financing model: for customers on 12-month (or longer) enterprise contracts, Veilion reinvests a dedicated percentage of their monthly software fees into GPU compute clusters assigned directly to that client. Over time, this allows organizations to run fine-tuned, local LLMs to reduce ongoing token expenses while adhering to internal compliance standards.

```mermaid flowchart LR accTitle: Flow Studio Design to Code Pipeline subgraph Sourcing["Screen Definition"] A["Mobbin MCP Search"] --> B["Select Mobile/Desktop Screens"] end subgraph Mapping["Backend Synthesis"] B --> C["Auto-map OAuth & APIs"] C --> D["Bind Interactive Button Actions"] end subgraph Execution["Cost Control & Generation"] D --> E["Pre-Flight Cost Estimation"] E --> F["LLM Generation / Code Output"] end ```

- **Mobbin MCP Integration:** Direct access to desktop and mobile design patterns without burning LLM tokens. - **Functional Backend Scaffolding:** Automatically provisions backend OAuth routes, API endpoints, and button interaction trees. - **GPU Reinvestment Model:** Enterprise contract fees fund dedicated GPU compute, enabling local LLMs to reduce token burn over time. - **Pre-Flight Estimation:** Live cost projections display estimated token expenses before generating code or frameworks.

---

[10:16](https://www.youtube.com/watch?v=BUz3UlJKdps&t=616s) Automated Documentation, Project Planning, and Roadblock Detection

Veilion features an automated dual-track documentation engine that maintains synchronization between technical engineering and executive management. Recognizing that "if you're a developer, it's hard to tell the story half the time," Winer explains that the system automatically compiles technical specifications (framework choices, backend routes, authentication schemas) alongside business impact analyses (ROI assessments, strategic roadmaps, scaling forecasts).

The platform includes integrated "Plan" and "Build" modes equipped with Kanban task tracking and automated burndown charts. Unlike traditional agile project trackers, Veilion's burndown engine monitors underlying technical dependencies. When downstream ETL pipelines fail or ERP schema updates break an integration, the system automatically detects the technical roadblock and recalculates delivery timelines into a realistic forecast. Team leaders can query the Hivemind directly to diagnose blockers asynchronously without scheduling status meetings.

- **Dual Documentation Streams:** Generates detailed technical specs for developers and business ROI/roadmap documentation for leadership. - **Automated Roadblock Detection:** Adjusts burndown schedules automatically upon detecting downstream ETL or ERP integration failures. - **Asynchronous Diagnostics:** Managers can interrogate the Hivemind directly to locate project bottlenecks without holding meetings.

---

[12:42](https://www.youtube.com/watch?v=BUz3UlJKdps&t=762s) Resource Brokerage, Dynamic CRM Maps, and Partnership Models

Winer demonstrates the "Connect Resources" tool, which streamlines third-party integrations like Stripe. Instead of requiring developers to manually configure developer consoles, create sandbox accounts, and provision keys, Veilion brokers secret keys and provisions the necessary third-party integration accounts automatically, binding checkout workflows directly into the project's design schema.

Winer also demonstrates a complex property management CRM dashboard containing a fully interactive map, generated from a single text prompt. In multi-tenant real estate and fintech environments where properties possess distinct mortgage structures, local tax codes, and regulatory reporting rules, Veilion leverages its 1,066 connectors to automate property-level compliance reporting. Winer closes by inviting attendees to visit Veilion at Booth 515, offering free proof-of-concept (POC) deployments for Ai4 attendees, and highlighting a white-label licensing model that enables consulting firms to deliver AI applications without engineering their own internal platform.

- **Automated Account Brokerage:** Manages API keys and provisions third-party integration accounts (e.g., Stripe) directly within the flow builder. - **Dynamic Real Estate CRM:** Generates functional map components and automates property-level tax, mortgage, and regulatory reporting. - **Conference Offer & White-Labeling:** Free POCs offered to Ai4 participants, with white-label partnership licenses available for consultancies. - **Contact:** Veilion exhibits at Booth 515 with founder networking via Adam Winer's LinkedIn.

## Notable quotes > [00:04](https://www.youtube.com/watch?v=BUz3UlJKdps&t=4s) The visual graph is not meant for manual human reading; instead, it provides structured context and a semantic roadmap for large language models (LLMs) to query underlying project structures without suffering from context window explosion. — Adam Winer

> [01:53](https://www.youtube.com/watch?v=BUz3UlJKdps&t=113s) Lightweight transformations process workloads using local RAM, making them functionally free of compute surcharges. — Adam Winer

> [01:53](https://www.youtube.com/watch?v=BUz3UlJKdps&t=113s) For heavier enterprise workloads, Veilion supports a Bring Your Own Cloud (BYOC) model across AWS and Google Cloud Platform (GCP) to minimize cloud spend. — Adam Winer

> [03:39](https://www.youtube.com/watch?v=BUz3UlJKdps&t=219s) A BSA can simply ask the agent to pull specific records, creation timestamps, and update intervals, and the agent automatically handles the data retrieval. — Adam Winer

> [05:21](https://www.youtube.com/watch?v=BUz3UlJKdps&t=321s) This approach ensures zero compute bloat or latency when accessing apps over enterprise VPN connections. — Adam Winer

> [07:35](https://www.youtube.com/watch?v=BUz3UlJKdps&t=455s) generated interfaces often look polished but lack real backend integrations, leaving buttons non-functional and omitting OAuth authentication. — Adam Winer

> [07:35](https://www.youtube.com/watch?v=BUz3UlJKdps&t=455s) for customers on 12-month (or longer) enterprise contracts, Veilion reinvests a dedicated percentage of their monthly software fees into GPU compute clusters assigned directly to that client. — Adam Winer

> [10:16](https://www.youtube.com/watch?v=BUz3UlJKdps&t=616s) if you're a developer, it's hard to tell the story half the time — Adam Winer

> [10:16](https://www.youtube.com/watch?v=BUz3UlJKdps&t=616s) When downstream ETL pipelines fail or ERP schema updates break an integration, the system automatically detects the technical roadblock and recalculates delivery timelines into a realistic forecast. — Adam Winer

> [10:16](https://www.youtube.com/watch?v=BUz3UlJKdps&t=616s) Team leaders can query the Hivemind directly to diagnose blockers asynchronously without scheduling status meetings. — Adam Winer

> [12:42](https://www.youtube.com/watch?v=BUz3UlJKdps&t=762s) Instead of requiring developers to manually configure developer consoles, create sandbox accounts, and provision keys, Veilion brokers secret keys and provisions the necessary third-party integration accounts automatically — Adam Winer

## Mentioned Adam Winer, Veilion, Ai4, Hivemind, Nexus, Veilion Flow Studio, Palantir, Jira, Apache Spark, PySpark, Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, Azure Key Vault, 1Password, GitHub, Mobbin, Stripe, React

## Video description Adam Winer - Founder / CEO, Veilion

Will do a live Demo of my application on stage.

[Source](https://www.youtube.com/watch?v=BUz3UlJKdps)

中文简报

Veilion推出采用客户GPU再投资机制的ERP应用构建器 Veilion将自动化后端架构映射与客户出资的GPU集群相结合，旨在解决代码生成不可用的问题并降低企业的Token开销。 Adam Winer介绍了Veilion，这是一个端到端企业数据平台，旨在连接传统ERP系统与现代应用工作流，同时避免陷入LLM上下文爆炸的困境。在底层Apache Spark引擎、定制“Hivemind”项目图谱以及自主“Nexus”转换代理的驱动下，该平台使非技术分析师和工程师都能构建多工具数据流水线及零依赖前端界面。Winer展示了覆盖1,066个企业连接器的预置集成、通过集成Mobbin的Flow Studio实现的自动化OAuth与资源调配，以及依赖感知项目追踪。他还介绍了一种企业商业模式，即把合同费用重新投资于专用GPU集群，以此补贴本地化模型训练和长期Token使用成本。 Veilion 通过自建的“Hivemind”图索引结构化管理项目上下文，有效防止大语言模型上下文窗口爆炸，并借助 Nexus Agent 支持本地 RAM 零成本轻量计算与基于 AWS/GCP 的 BYOC 部署。 (0:04) 平台内置包含 1,066 个预置数据连接器的目录，支持非技术业务系统分析师通过自然语言提取数据，并使用独立的 Azure Key Vault 实例实现多租户凭据的安全隔离。 (3:39) 前端 Canvas 完全基于原生 DOM/CSS 渲染触发式动画，消除了企业 VPN 网络下的 UI 延迟，同时 Blueprint 视图可将界面组件可视化直连映射到底层数据集、API 与后端函数。 (5:21) Veilion Flow Studio 深度整合 Mobbin MCP，通过自动绑定真实后端 API、OAuth 认证及按钮逻辑解决表面化“vibe coding”缺陷，并支持将长期合同费用再投资为企业专属 GPU 算力集群。 (7:35)

Reading summary

Veilion founder Adam Winer presents an enterprise data and application platform designed to bridge legacy ERP systems with modern front-ends through semantic graph indexing and autonomous agent workflows. Winer argues that coupling automated backend scaffolding with isolated compute models allows organizations to prototype and deploy functional, compliant software while avoiding context-window bloat and runaway cloud fees. Hivemind Graph Indexing and Dual Compute Tiers (0:04) Veilion relies on a foundational architecture termed the "Hivemind," which automatically indexes project files—ranging from HTML, React, and JavaScript to Apache Spark / PySpark data pipelines—into a semantic graph. Winer explains that this index is engineered specifically for large language models rather than manual inspection, providing the models with structured context without triggering context window exhaustion. For data manipulation, the autonomous agent "Nexus" configures database schemas, executes tool calls, and initiates PySpark jobs. Workloads can be executed across two paradigms: lightweight tasks run locally within RAM at zero compute surcharge, while enterprise-scale processing operates under a Bring Your Own Cloud (BYOC) model across AWS and Google Cloud Platform to reduce third-party compute markups. The platform also implements platform-wide global branching, enabling engineering teams to test experimental pipelines in isolated sandboxes without disrupting production environments. Isolated Tenant Security and Pre-Built Connectors (3:39) The platform incorporates a pre-built catalog of 1,066 data connectors, surfacing pre-configured API endpoints to non-technical staff such as Business Systems Analysts. According to Winer, analysts can extract structured records, timestamps, and update intervals through natural language queries rather than custom scripting. To protect enterprise credentials and data flows, each client organization is segregated within a dedicated Azure Key Vault instance directly connected to the Hivemind index. Front-End Canvas and Functional Backend Scaffolding (5:21) To counter common pitfalls in AI-generated user interfaces—where generated screens often lack functional backend logic—Veilion pairs an authoring workspace called Canvas with its Flow Studio tool. The Canvas executes animations entirely through native CSS and DOM properties rather than heavy third-party animation libraries, which Winer claims eliminates interface latency when operating across corporate VPNs. Winer reports that interactive mockups can be generated from single text prompts in approximately 10 minutes at an estimated LLM token cost of $5, with visual "Blueprint" lineage diagrams tracking UI controls directly to backend datasets. Through Flow Studio, users query interface designs using an integrated Mobbin Model Context Protocol tool and convert them into functional layouts. The system automatically provisions required backend elements, such as OAuth flows and API endpoints, while displaying pre-flight token cost estimates before code generation. For clients on 12-month or longer enterprise agreements, Winer introduces a financing model where a dedicated portion of software fees is reinvested into dedicated GPU clusters, allowing enterprises to eventually run self-hosted, fine-tuned models. Automated Project Diagnostics and Resource Provisioning (10:16) Veilion features a dual-track documentation system that automatically compiles technical implementation specifications for engineering teams alongside business impact analyses and ROI metrics for management. The integrated project management suite links agile burndown charts to underlying data pipelines; if downstream ETL tasks fail or ERP schema updates break an integration, the burndown schedule automatically detects the blocker and adjusts forecasted delivery dates. Managers can interrogate the Hivemind asynchronously to inspect delivery roadblocks without scheduling manual status meetings. In addition, the platform offers automated resource brokerage, provisioning external developer credentials and services—such as Stripe accounts and payment flows—directly into project architectures. Winer demonstrates this integration through an automated multi-tenant property management CRM, which provisions interactive maps and customizes reporting for local tax, mortgage, and regulatory frameworks. Winer concludes by offering free proof-of-concept deployments for conference attendees and positioning the platform as a white-label engine for consultancies building enterprise AI software. However, the presentation relied on a locally executed demonstration to avoid venue connectivity issues, meaning that live network stability, real-world maintenance costs, and performance under complex enterprise production loads remain subject to client verification.

精炼阅读摘要

Veilion 创始人 Adam Winer 在 Ai4 大会上展示了该企业级数据分析与应用构建平台，旨在打通传统 ERP 系统与现代应用程序之间的数据壁垒。该平台通过专有的 Hivemind 索引图谱、Nexus 自动化数据清洗智能体、预置连接器生态以及端到端前端生成工具，试图降低非技术人员与工程团队开发企业级应用的门槛并控制算力与 Token 成本。 Hivemind图谱与Nexus混合计算架构 (0:04) Adam Winer 阐述了其从系统管理员、技术支持、网络与云分析、全栈工程到 Palantir 承包商的从业经历，这一背景促使他构建了一套覆盖全流程的底层架构。Veilion 的核心是专有的 Hivemind 系统，该系统能够自动索引与映射项目目录中的所有代码与资源文件，涵盖 HTML、React、JavaScript 以及基于 Apache Spark 的自定义 PySpark 计算流水线。Winer 指出，Hivemind 的可视节点图谱并非主要供人工浏览，而是为大语言模型（LLM）提供结构化的上下文与语义路径，从而避免在工程规模扩大时引发上下文窗口溢出或 Prompt 膨胀问题。在此图谱基础上，Nexus 作为自主数据转换智能体运行，能够根据用户设定的业务目标自动识别工具调用、合成数据库 Schema 并触发转换任务，现场演示了汽车竞品季度销售额数据集的构建流程。为了平衡性能与成本，Veilion 提供了双层计算模式：轻量级数据清洗直接在本地内存（RAM）中运行，无需额外计算费用；针对大规模企业级数据负载，平台则支持在 AWS 和 GCP 上的自带云（BYOC）模式，以消除中间商的算力加价。此外，平台内置的全局分支（Global Branching）功能允许研发团队在隔离的沙箱中对底层数据流水线和功能进行破坏性实验，而不会干扰生产环境的稳定性。预置数据连接与租户级安全架构 (3:39) 在数据集成方面，Veilion 提供了开箱即用的数据目录，内置超过 1,066 种预构建的企业级连接器，并预先配置了底层 API 端点。Winer 通过 1Password 和个人 GitHub 连接展示了非技术业务人员（如业务系统分析师 BSA）的操作模式：用户无需编写 API 抓取脚本，只需使用自然语言向智能体提出结构化查询需求，例如拉取特定记录、创建时间戳或更新周期，系统即可自动调用端点完成数据提取。现场测试 GitHub 连接时，系统直接返回了状态码为 200 OK 的数据报告。针对企业对于敏感凭证和数据主权的安全顾虑，Veilion 采用了基于 Azure Key Vault 的租户隔离设计。每个客户组织均拥有专属于自身的独立 Azure Key Vault 实例，所有的第三方 API 密钥、访问凭据以及与 Hivemind 关联的元数据索引都受到严格的隔离保护。Winer 强调，这种架构设计使得平台在支持业务人员通过自然语言调取敏感系统的同时，仍能满足严格的企业合规与身份验证标准。原生前端画布与Flow Studio生成 (5:21) 针对前端界面的生成与交互，Veilion 提供了名为 Canvas 的轻量级开发工作区。Winer 现场演示了通过单条自然语言 Prompt 生成虚构气泡水品牌的自适应落地页。该前端页面完全依赖原生 CSS 与文档对象模型（DOM）实现交互动画，避免了引入笨重的第三方 React 动画依赖包，Winer 表示该设计能够有效消除企业员工在 VPN 环境下访问内部应用时常见的卡顿与延迟。在成本与效率方面，Winer 提出，咨询机构可以在大约 10 分钟内完成高保真可交互原型的搭建，所需 LLM Token 成本约为 5 美元；同时，非技术人员可通过 Blueprint 视图直观追溯界面组件与底层数据表、后端函数及 API 之间的映射血缘。为解决市面上通用“氛围编码”（Vibe Coding）生成界面美观但缺少真实后端逻辑（如按钮无法点击、缺失身份验证等）的缺陷，平台引入了 Veilion Flow Studio。该模块集成了 Mobbin 模型上下文协议（MCP），允许用户检索主流移动端和桌面端的真实交互设计模式，并在编排屏幕时自动在后端配置 OAuth 认证路由、API 绑定以及按钮触发逻辑。在商业模式上，Winer 介绍了一项算力再投资策略：对于签订 12 个月或更长周期的企业客户，Veilion 会将其部分月度软件订阅费再投资并分配给专属于该客户的 GPU 算力集群，支持客户运行私有微调本地模型以持续降低长期 Token 支出；同时系统在代码生成前会提供前置成本预测，以防预算失控。双轨文档体系与依赖感知项目调度 (10:16) 针对技术团队与管理层之间的沟通脱节问题，Veilion 开发了自动化双轨文档系统。系统能够在同一工程演进过程中并行输出两套文档：一轨为面向工程人员的技术规范，详述框架选型、后端接口与认证方案；另一轨为面向管理层的业务价值分析，涵盖投资回报率（ROI）评估、战略路线图与扩容预测。Winer 表示这能够解决开发者难以向业务方清晰传达技术价值的痛点。在项目生命周期管理方面，平台集成了“规划”（Plan）与“构建”（Build）双模式，并配备基于依赖感知的看板与燃尽图。与传统敏捷工具不同，Veilion 的燃尽图引擎能实时监控底层技术依赖，当下游 ETL 流水线崩溃或 ERP 系统 Schema 发生破坏性变更时，系统会自动捕捉到技术障碍并重新计算交付时间表，团队主管可通过查询 Hivemind 异步诊断瓶颈。此外，平台的 Connect Resources 工具能够自动代理并开通诸如 Stripe 等第三方账户并分发密钥，无需开发人员反复配置沙箱。Winer 还演示了基于单条提示词生成的物业管理 CRM 仪表盘，利用连接器自动计算不同抵押结构与税务法规下的合规报表。 Winer 在演讲最后面向 Ai4 参会者提供了免费的概念验证（POC）部署，并介绍了面向咨询公司的白标授权合作方案。尽管展示了从底层数据处理到全栈应用生成的闭环能力，但关于企业深度引入该平台时如何与现有大型 DevOps 流程整合，以及大规模专有 GPU 集群再投资模式在多租户环境中的实际运营成本与回报，仍需在更多生产级实地落地中进一步验证。

Detailed notes — zh

## Background 该视频由 Ai4 于 2026 年 8 月 17 日发布在 YouTube 平台上。页面描述显示，Veilion 创始人兼首席执行官 Adam Winer 在大会舞台上对该企业级应用进行了现场实机演示。 ## TL;DR Veilion 创始人 Adam Winer 在本次演讲中全方位展示了其打造的企业级端到端数据分析与应用开发平台，核心旨在打通底层 ERP 系统与上层业务交付。演示重点剖析了防止大模型上下文爆炸的 Hivemind 知识网络架构、纯原生无冗余渲染的 Canvas 画布、补齐“氛围编码”（Vibe Coding）后端与认证缺失的 Flow Studio，以及内置 1,066 个连接器的高安全性数据管道。此外，演讲还介绍了双轨自动化文档、异常动态捕获看板、以月费注资采购 GPU 算力的创新商业模式，并针对咨询伙伴开放了专属免费概念验证（POC）与白标授权合作。 ## Atmosphere & style 整场演示节奏紧凑硬核且极具工程师务实风格，主讲人凭借跨越基层技术支持至全栈架构的复合背景，展现出极强的专业自信与控场能力。面对会场网络等突发状况，他以幽默自嘲轻松化解，并在直击当下 AI 原型缺乏真实后端与 Token 账单失控等行业痛点时言辞犀利。实机操作行云流水，技术细节与商业落地方案紧密交织，呈现出既接地气又高度可信的企业级科技发布氛围。 ## Key takeaways - [00:04](https://www.youtube.com/watch?v=BUz3UlJKdps&t=4s) Veilion 定位为企业级端到端数据分析与应用开发底座，旨在无缝打通底层 ERP 核心系统与上层业务应用，消除技术人员与业务分析师之间的协作壁垒。 - [01:03](https://www.youtube.com/watch?v=BUz3UlJKdps&t=63s) 自研 Hivemind 蜂群知识图谱能够自动映射全部工程代码与依赖结构，专供底层大模型高效结构化检索，从根源上杜绝大型工程中的 Token 上下文爆炸问题。 - [01:03](https://www.youtube.com/watch?v=BUz3UlJKdps&t=63s) Nexus 数据转换 Agent 深度集成 PySpark 分布式计算引擎，提供基于本地 RAM 的免费轻量级转换模式并支持企业自带云存储（BYO Storage），显著削减算力与存储账单。 - [03:14](https://www.youtube.com/watch?v=BUz3UlJKdps&t=194s) 平台内置全局分支（Global Branching）机制与 1,066 个预置数据连接器，配合各租户专属的 Azure Key Vault 加密金库，兼顾高自由度研发实验与企业级合规安全。 - [05:21](https://www.youtube.com/watch?v=BUz3UlJKdps&t=321s) 前端 Canvas 模块支持单次提示词（One Prompt）低成本生成高质量交互界面，采用纯原生 CSS/DOM 动画以消除第三方库的计算膨胀，确保企业 VPN 网络下的流畅加载。 - [07:29](https://www.youtube.com/watch?v=BUz3UlJKdps&t=449s) Flow Studio 深度集成 Mobbin MCP 模板库，针对“氛围编码”（Vibe Coding）缺失后端的缺陷，在拖拽生成 UI 的同时全自动映射 OAuth 认证、API 路由及全套按钮事件。 - [07:29](https://www.youtube.com/watch?v=BUz3UlJKdps&t=449s) 实施代码生成前的事前透明计价，并推出算力再投资计划：从长约客户月费中抽取固定比例采购专属 GPU 资产，平滑过渡至私有化本地大模型部署。 - [10:16](https://www.youtube.com/watch?v=BUz3UlJKdps&t=616s) 构建自适应的技术与业务双轨文档体系，技术端记录架构规范与 API，业务端自动量化 ROI 与商业影响力，有效化解开发者向管理层汇报时的沟通鸿沟。 - [10:16](https://www.youtube.com/watch?v=BUz3UlJKdps&t=616s) 项目看板能够自动捕获 ERP 故障或 ETL 流水线中断等异常以动态修正交付工期，支持管理层通过 Hivemind 异步排查项目卡点根因，减少冗长低效的会议沟通。 - [13:10](https://www.youtube.com/watch?v=BUz3UlJKdps&t=790s) 平台具备密钥代理能力，可自动完成第三方解决方案（如 Stripe 结账流程）的账户创建与无缝挂载，并提供清晰的代码与配置版本变更（Commits）追踪。 - [13:44](https://www.youtube.com/watch?v=BUz3UlJKdps&t=824s) 突破传统生成工具难以生成可用地图的局限，实现物业管理 CRM 地图组件的单次生成，并依托庞大连接器生态自动处理多主体税务与监管报表的数据清洗与报表流。 - [14:43](https://www.youtube.com/watch?v=BUz3UlJKdps&t=883s) 提供参会企业自主保留成果的无附加条件免费概念验证（POC），并针对数字化咨询机构推出白标（White Label）合作方案，无需自研底层即可快速交付 AI 构建能力。 ## Detailed walkthrough ### [00:04](https://www.youtube.com/watch?v=BUz3UlJKdps&t=4s) 创始人背景与 Veilion 平台概述 Adam Winer 以自身跨越技术与运维的丰富履历开场，介绍了由他创立的企业级数据分析与应用开发平台 Veilion。该平台的核心定位是充当企业数据分析的底座，同时无缝连接底层 ERP 核心系统与上层业务应用程序。回顾自己的职业生涯，Winer 经历了从最基层的 Jira 工单管理员、服务台技术支持，到网络工程师、云计算与分析架构师，再到数据科学家、全栈开发者以及参与 Palantir 级 C2C 系统研发的完整技术跃升。这一深厚背景让他深刻意识到，当今企业迫切需要一个无论员工技能背景高低都能顺畅使用的稳健平台。在现场演示的开端，Winer 调侃由于会场 Wi-Fi 的稳定性问题，他将系统切换到了本地托管（Local Hosting）环境以确保演示万无一失，但强调整套 Veilion 平台早已在云端完全部署上线并面向企业提供服务。平台首页的设计初衷正是为了打通不同职能团队之间的技能壁垒，让无论是不懂写代码的业务分析师还是资深架构师，都能在统一的环境中开展工作。 - **创始人技术履历**：Jira 工单管理员 → 技术支持台 → 网络工程 → 云计算与分析 → 数据科学家 → 全栈开发 → Palantir 体系开发 - **平台核心定位**：打通企业 ERP 与业务应用的企业级端到端数据分析解决方案 --- ### [01:03](https://www.youtube.com/watch?v=BUz3UlJKdps&t=63s) Hivemind 架构与 Nexus 数据转换智能体 Winer 展示了平台的核心底层架构之一——Hivemind（蜂群知识图谱）。当用户在项目或程序文件夹中进行构建时，Hivemind 会自动且实时地映射出生成的所有代码与工程文件，涵盖 HTML、React、JavaScript 以及 PySpark 脚本等。Veilion 在平台内部自研集成了基于 Apache PySpark 的自定义分布式数据计算引擎。Winer 特别强调，Hivemind 生成的错综复杂的节点图表“并不是为了让人类去阅读的”，它的真正使命是供底层大语言模型（LLM）高效导航、定位代码依赖并查询数据库，从而为 Agent 提供精准的上下文，从根源上杜绝大模型在大型工程中常见的“上下文爆炸”（Context Explosion）问题。 ```mermaid flowchart TD accTitle: Veilion 核心数据与上下文处理流程 subgraph DataEngine["数据处理与计算引擎"] Raw["外部数据源 / ERP"] --> Nexus["Nexus 数据转换 Agent"] Nexus --> Schema["自动推断 Schema & 校验"] Schema --> PySpark["PySpark / 本地 RAM 计算引擎"] end subgraph Knowledge["知识与上下文层"] PySpark --> Hivemind["Hivemind 自动依赖映射"] Hivemind --> LLMNav["LLM 结构化检索与上下文防爆"] end subgraph Security["安全与隔离层"] AzureVault["独立 Azure Key Vault 金库"] -.-> Hivemind Branching["Global Branching 全局分支隔离"] -.-> DataEngine end ``` 紧接着，Winer 切入名为 Nexus 的数据转换 Agent 界面。由于现场演讲时间只有紧凑的 10 分钟，而复杂数据转换提示词的处理往往需要耗费数分钟，Winer 提前输入了一套预设任务：针对汽车行业竞品的季度销售数据进行抓取与清洗，以模拟企业日常的市场竞品调研。在演示中，Nexus 自动链式调用了多个分析工具，实时生成数据库结构并定义数据 Schema，最终触发 PySpark 算力流水线。针对数据处理的算力开销，系统提供了轻量级转换（Lightweight Transform）与常规集群计算两种模式： - **轻量级转换（Lightweight Transform）**：直接利用本地 RAM 进行数据计算，对企业而言完全免费。 - **自带存储（BYO Cloud Storage）**：支持对接企业自有的 AWS、GCP 等对象存储，大幅压缩企业算力与存储账单。 - **上下文防护机制**：通过 Hivemind 结构化映射，使 LLM 能够精准提取代码片段而不撑破 Token 上下文窗口。 --- ### [03:14](https://www.youtube.com/watch?v=BUz3UlJKdps&t=194s) 全局分支机制、海量预置连接器与企业级安全金库为了让团队能够放开手脚开展技术探索，Veilion 引入了覆盖全平台的全局分支（Global Branching）功能。Winer 解释道，这一特性对于企业的 R&D 研发部门和原型开发至关重要——团队成员可以随意在独立分支上进行激进的实验或破坏性修改，而完全不用担心弄乱主生产环境或影响其他人的工作流。在数据集成方面，平台目前已经内置了多达 1,066 个现成的数据连接器（Data Connections），“凡是你能叫得出名字的企业服务，我们基本都已支持”。Winer 以 1Password 和 GitHub 为例展示了系统如何预封装海量的 API 调用。对于不具备深厚编码能力的业务系统分析师（BSA），以往想要获取业务数据必须求助工程师，而在 Veilion 中，分析师只需通过自然语言下达指令（例如“帮我从该数据源调取所有新建项及其最后更新时间”），内置 Agent 就会自动触发对应的 API 管道极速拉取。作为技术创始人，Winer 现场演示了通过平台连接其个人 GitHub 并成功触发 HTTP 200 状态码的报告生成流程。为了打消企业对敏感数据外泄的顾虑，Veilion 依托 Azure Key Vault 为每个注册企业开辟专属加密金库，所有 API 凭证与 Hivemind 映射均被严密隔离在金库内部，实现最高级别的企业安全合规。 - **预置数据连接数量**：1,066 种已配置的 API 快速连接器 - **全局分支功能**：支持零风险的 R&D 原型实验与破坏性测试 - **安全架构**：各组织享有专属的独立 Azure Vault，严防多租户数据穿透与凭证泄露 --- ### [05:21](https://www.youtube.com/watch?v=BUz3UlJKdps&t=321s) 前端 Canvas 驱动：单提示词生成企业级原生动画随后，Winer 转向了更具视觉冲击力的前端 Canvas 画布模块。他展示了一个完全由“单次提示词”（One Prompt）直接生成的完整落地页，页面中包含流畅的交互动效。Winer 揭示了一个关键的技术细节：页面中的所有动画效果全部是由纯原生 CSS 和 DOM 构建的，完全没有引入任何沉重的 React 第三方动画库。之所以采用这种严苛的技术路线，是因为在真实的大型企业环境中，员工往往需要挂载企业 VPN 访问系统；杜绝外部组件库引入能彻底消除前端的“计算膨胀”（Compute Bloat），确保在各类企业级电脑上实现零延迟、无卡顿的流畅加载。 Winer 现场以一个苏打水（Seltzer）品牌的演示 Demo 滚动展示了动画触发效果。他指出，对于数字化咨询公司而言，这种生产力飞跃具有巨大的商业价值——咨询顾问只需提供少量背景信息，就能在 10 分钟内为客户交付一套高度逼真、包含完备交互的原型 Demo，而这一单次 Prompt 生成的实际模型开销仅仅只有 5 美元。更重要的是，对于专业开发者而言，平台绝非只生成不可控的黑盒页面，用户可以随时一键切入底层的代码仓库（Code Repo）查看干净的源码，或者通过架构蓝图（Blueprint）直观审视整个前端页面所绑定的所有后端数据连接与数据血缘（Data Lineage）。 - **单 Prompt 极低成本**：仅需约 $5 即可在 10 分钟内生成包含完整交互的高质量企业原型 - **原生渲染优化**：纯 CSS + DOM 动画，摒弃冗余 React 动画库，确保企业 VPN 环境下的零卡顿 - **透明度支持**：随时查看源码，并通过 Blueprint 可视化数据血缘与业务逻辑流转 --- ### [07:29](https://www.youtube.com/watch?v=BUz3UlJKdps&t=449s) Veilion Flow Studio：可视化线框图、按需算力返还与成本透明化针对当前生成式 AI 研发中普遍存在的 Token 成本失控问题，Winer 展示了平台的 Veilion Flow Studio。在过去，团队探索创意时很容易因为无节制的 LLM 调用而产生高昂账单。Flow Studio 深度集成了 Mobbin MCP（模型上下文协议），用户只需在侧边栏搜索关键词（如输入“Fitness”），即可快速调出海量经过验证的移动端（Mobile）或桌面端（Desktop）设计模板，并一键拖拽添加到工作流画布中。 Winer 犀利地指出了当下流行的“氛围编码”（Vibe Coding）的致命软肋：许多 AI 编码工具生成的 Demo 表面华丽，但底层往往完全丢失了后端逻辑、OAuth 身份认证与数据接口集成，导致用户点击按钮时毫无反应。Veilion 在前端拖入画面的同时，会自动在后端映射出对应的 API 路由、OAuth 认证逻辑以及全套按钮映射（Button Map）。当用户点击“设计屏幕”时，系统才会调用平台内嵌的大模型（目前主要基于 OpenAI）进行渲染。 ```mermaid flowchart LR accTitle: Veilion Flow Studio 端到端生成流程 subgraph Design["设计与交互层"] Mobbin["Mobbin MCP 模板库"] --> Screen["拖拽生成页面 Wireflow"] Screen --> ButtonMap["后端全量按钮映射 Button Map"] end subgraph CostBackend["成本控制与后端映射"] ButtonMap --> CostEst["生成前成本预估 Price Quote"] CostEst --> BackendSync["OAuth / API 自动关联"] BackendSync --> CodeGen["多框架代码生成 (React等)"] end ``` 谈及企业客户的成本顾虑，Winer 公布了一项极具吸引力的商业合作模式：凡是与 Veilion 签订 12 个月及以上合同的企业客户，Veilion 会从企业支付的月度服务费中抽取一定比例（不对客户产生额外费用），直接投资采购专属的 GPU 算力并绑定到该企业的合同资产中。随着平台使用的深入，Veilion 将为客户部署专属本地大模型（Local LLM），在严格符合企业内部数据安全策略的前提下，从根本上降低对商业 API 的 Token 消耗。此外，系统在正式生成 React 代码前，都会在预览界面直接出具精确的开销预估，彻底终结了“开发者随手做了两张精美界面，转头却收到 1,000 美元账单”的行业痛点。 - **Mobbin MCP 集成**：支持一键检索与调用桌面端与移动端 UI 模式 - **填补 Vibe Coding 缺陷**：自动映射 OAuth 认证、API 接口和每一个按钮的后端触发事件（Button Map） - **算力再投资计划**：针对 12 个月以上合约客户，提取月费固定比例注资专属 GPU 算力池，未来平滑过渡至本地私有化 LLM - **事前透明计价**：代码生成前实时出具成本预测，杜绝意外 Token 账单 --- ### [10:16](https://www.youtube.com/watch?v=BUz3UlJKdps&t=616s) 双轨文档体系、看板燃尽图与异步项目阻碍定位在项目管理与工程文档板块，Veilion 提供了自适应更新的双轨文档系统，划分为技术标签页（Technical Tab）与业务标签页（Business Tab）。Winer 坦言，许多开发者在向非技术管理层讲述项目价值时常常感到困难，自己也曾感同身受。因此，技术文档端会自动详尽记录所用的技术框架、后端架构、API 接口和 OAuth 认证流；而业务文档端则由 AI 自动提炼并输出投资回报率（ROI）、业务影响力分析、后续扩展路径以及路线图达成情况。系统支持“计划”（Plan）与“构建”（Build）两种模式，看板卡片（Kanban Cards）既支持人工维护，也可由生成式 AI 自动梳理。在实际项目推进中，团队往往会面临多角色协作与意外卡点。Winer 幽默地指出：“如果我说‘只要点一下生成，一切搞定，直接躺着数钱’，那当然很完美；但现实开发中，你总是会接二连三地撞上各种路障。”无论是因为 ERP 系统集成受阻，还是由于下游改动导致 ETL 数据流水线意外中断，Veilion 都能自动捕获异常，并动态调整看板中的燃尽趋势（Burndown Trend），给出切合实际的工期预测。项目管理者无需为了排查堵点而频繁召开冗长低效的沟通会议，只需在系统中直接向 Hivemind 提问，就能迅速获取阻碍项目推进的“核心干货”（Meat and potatoes）。这种深度上下文支持极大赋能了团队的异步协作（Asynchronous Communication），推动业务方案以更快的速度落地交付。在演示的尾声，Winer 点击了“连接资源”（Connect Resources）标签页，准备进一步展示在没有现成账户的情况下如何一键为页面挂载 Stripe 购物车等第三方支付能力。 - **双轨自动化文档**：技术端详述架构与 API；业务端自动量化 ROI、路线图与商业价值 - **动态燃尽趋势预测**：自动捕获 ERP 故障或 ETL 流水线中断，实时修正项目交付工期 - **Hivemind 异步阻碍排查**：管理层通过自然语言直接向知识网络查询卡点根因，大幅减少非必要会议 ### [13:10](https://www.youtube.com/watch?v=BUz3UlJKdps&t=790s) 自动代理账户集成与版本提交管理在应用构建过程中，针对不同第三方解决方案频繁创建新账户和配置集成向来繁琐耗时。Veilion 平台内置了密钥代理能力，能够替开发者自动完成外部账户的创建与对接。例如，系统可以直接接入 Stripe，当用户将设计架构上传至流程构建器（Flow Builder）时，平台便能在该设计架构内自动生成完整的结账流程（Checkout Process）。除了集成自动化之外，平台还配备了清晰的代码与配置提交（Commits）记录功能。该功能让开发者能够一目了然地追踪哪些模块发生了变更、哪些保持不变，极大简化了迭代与版本追溯的复杂度。 ```mermaid flowchart LR accTitle: 第三方服务与结账流程集成架构 subgraph Input["设计与流程输入"] Schema["设计架构 Schema"] --> Builder["Flow Builder 流程构建器"] end subgraph Automation["Veilion 代理自动化"] Broker["密钥代理 & 账户自动创建"] Commit["Commits 版本变更追踪"] end subgraph Integration["第三方集成"] Stripe["Stripe 支付网关"] --> Checkout["全自动结账流 Checkout"] end Builder --> Broker Broker --> Stripe Builder --> Commit ``` ### [13:44](https://www.youtube.com/watch?v=BUz3UlJKdps&t=824s) 物业管理 CRM 生成与多源数据自动化报表在展示一套物业管理 CRM 仪表盘时，演讲者特别强调了其中地图组件的生成能力。只需输入一条面向物业管理 CRM 的 Prompt，系统即可实现地图组件的“单次生成（one-time generation）”。当前市面上大多数主打 Vibe Coding（氛围编程）的平台往往难以生成可用的地图组件，而 Veilion 平台生成的地图不仅完整呈现，而且功能完全可用。针对物业管理及金融科技（FinTech）领域的复杂业务场景，不同楼宇和业务单元往往分属不同主体，对应着独立的按揭贷款、监管政策、税务规则以及运营报告要求。Veilion 依靠丰富的底层数据连接能力，能够无缝整合多源数据，全自动完成复杂报表的清洗、转换与周期性生成。 - **复杂业务场景支持**：轻松应对多主体所有权、差异化税务规则及金融监管要求的复杂数据处理。 - **自动化报表流**：依托平台庞大的数据连接器生态，实现多维度运营报告的全自动数据转换与定期生成。 ### [14:43](https://www.youtube.com/watch?v=BUz3UlJKdps&t=883s) 展会专属免费 POC 与咨询机构白标合作方案在演示尾声，演讲者展示了个人 LinkedIn 二维码，并引导参会者前往 515 号展位进行面对面深入沟通。针对本次 Ai4 大会的参会企业，平台推出了专属福利：向所有有兴趣的企业提供“无附加条件、无后续隐性涨价”的免费概念验证（POC）支持，企业构建出的解决方案可完全自主保留。此外，平台针对咨询机构和方案集成商推出了白标（White Label）合作授权模式。希望开拓 AI 业务并为客户交付定制化解决方案的咨询公司，无需从零耗时搭建自己的底层软件基础设施，只需基于伙伴授权协议直接白标 Veilion 平台，即可快速向其终端客户提供成熟的 AI 构建能力。 ## Notable quotes > [01:03](https://www.youtube.com/watch?v=BUz3UlJKdps&t=63s) 并不是为了让人类去阅读的 — Adam Winer > [03:14](https://www.youtube.com/watch?v=BUz3UlJKdps&t=194s) 凡是你能叫得出名字的企业服务，我们基本都已支持 — Adam Winer > [03:14](https://www.youtube.com/watch?v=BUz3UlJKdps&t=194s) 帮我从该数据源调取所有新建项及其最后更新时间 — Adam Winer > [07:29](https://www.youtube.com/watch?v=BUz3UlJKdps&t=449s) 开发者随手做了两张精美界面，转头却收到 1,000 美元账单 — Adam Winer > [10:16](https://www.youtube.com/watch?v=BUz3UlJKdps&t=616s) 如果我说‘只要点一下生成，一切搞定，直接躺着数钱’，那当然很完美；但现实开发中，你总是会接二连三地撞上各种路障。 — Adam Winer > [10:16](https://www.youtube.com/watch?v=BUz3UlJKdps&t=616s) 核心干货 — Adam Winer > [13:44](https://www.youtube.com/watch?v=BUz3UlJKdps&t=824s) 单次生成 — Adam Winer > [14:43](https://www.youtube.com/watch?v=BUz3UlJKdps&t=883s) 无附加条件、无后续隐性涨价 — Adam Winer ## Mentioned Adam Winer, Veilion, Ai4, Hivemind, Nexus, Veilion Flow Studio, Apache PySpark, Jira, Palantir, Azure Key Vault, AWS, GCP, 1Password, GitHub, React, Mobbin MCP, OpenAI, Stripe, LinkedIn ## Video description Adam Winer - Founder / CEO, Veilion Will do a live Demo of my application on stage. [Source](https://www.youtube.com/watch?v=BUz3UlJKdps)

Source quotes

[1:03] Adam Winer: 并不是为了让人类去阅读的 [3:14] Adam Winer: 凡是你能叫得出名字的企业服务，我们基本都已支持 [3:14] Adam Winer: 帮我从该数据源调取所有新建项及其最后更新时间 [7:29] Adam Winer: 开发者随手做了两张精美界面，转头却收到 1,000 美元账单 [10:16] Adam Winer: 如果我说‘只要点一下生成，一切搞定，直接躺着数钱’，那当然很完美；但现实开发中，你总是会接二连三地撞上各种路障。 [10:16] Adam Winer: 核心干货 [13:44] Adam Winer: 单次生成 [14:43] Adam Winer: 无附加条件、无后续隐性涨价

Source quotes

[0:04] Adam Winer: The visual graph is not meant for manual human reading; instead, it provides structured context and a semantic roadmap for large language models (LLMs) to query underlying project structures without suffering from context window explosion. [1:53] Adam Winer: Lightweight transformations process workloads using local RAM, making them functionally free of compute surcharges. [1:53] Adam Winer: For heavier enterprise workloads, Veilion supports a Bring Your Own Cloud (BYOC) model across AWS and Google Cloud Platform (GCP) to minimize cloud spend. [3:39] Adam Winer: A BSA can simply ask the agent to pull specific records, creation timestamps, and update intervals, and the agent automatically handles the data retrieval. [5:21] Adam Winer: This approach ensures zero compute bloat or latency when accessing apps over enterprise VPN connections. [7:35] Adam Winer: generated interfaces often look polished but lack real backend integrations, leaving buttons non-functional and omitting OAuth authentication. [7:35] Adam Winer: for customers on 12-month (or longer) enterprise contracts, Veilion reinvests a dedicated percentage of their monthly software fees into GPU compute clusters assigned directly to that client. [10:16] Adam Winer: if you're a developer, it's hard to tell the story half the time [10:16] Adam Winer: When downstream ETL pipelines fail or ERP schema updates break an integration, the system automatically detects the technical roadblock and recalculates delivery timelines into a realistic forecast. [10:16] Adam Winer: Team leaders can query the Hivemind directly to diagnose blockers asynchronously without scheduling status meetings. [12:42] Adam Winer: Instead of requiring developers to manually configure developer consoles, create sandbox accounts, and provision keys, Veilion brokers secret keys and provisions the necessary third-party integration accounts automatically

Original transcript

[0:04] My name is Adam Winer. I'm the founder of Velon. It's a data enterprise analytical solution uh that [0:11] also connects ERP and application solutions. Uh throughout my career, I started off as a admin [0:19] working Jira tickets going up to the uh support desk and then networking uh cloud [0:26] compute analytics and then data scientists going full stack developer and then eventually into [0:33] C to C palunteer development. uh that shifted my main focus to provide a platform that uh is [0:41] a robust solution that multiple organizations can use no matter the skill set. Uh today this is the [0:48] homepage right now. Uh due to the Wi-Fi I did switch to local hosting just to make sure that [0:55] I'm good for this presentation but the solution is fully up and hosted as of today as well. [1:03] If I go to this screen right here, you'll see this is a hive mind that I made. Uh it's uh basically [1:10] as you build out in a program or project folder, it will automatically map out any files that you [1:17] create. This is HTML files, React, JavaScript, Pispark, Apache Engine for uh data compute. We [1:25] do have a data uh compute custom engine in the platform Apache uh through PIS spark. [1:33] As you click into a couple of these, it's not really meant for you to read. [1:38] It's more meant for the LLM to be able to navigate and query the database. Uh so it's [1:45] able to get the correct context. This ensures that your context doesn't explode as well. [1:53] So if I go over to this screen right here, uh this is Nexus. Uh Nexus is essentially a [2:00] data transformation agent that I made with a various amount of skills. As you can see [2:06] the initial prompt as uh the prompts take a couple minutes. I only have 10 today. [2:11] So I've pre-prompted it to build out a data set uh based on automotive competitors on their quarterly [2:19] sales. as you might want to research what your competitors are doing on the market. Uh as I [2:25] scroll down, you'll see that it's calling multiple tools. Uh if I expand on context, you'll also [2:32] see that we are building out the database and the data set needed. Uh all the way down here, it will [2:38] define your schema and eventually trigger the pi spark. You do have the ability to select for [2:46] between a lightweight transform and a uh non- lightweight transform. Lightweight transforms use [2:54] your uh local RAM to compute the data set. This essentially means it's free. Uh you [2:59] can bring your own cloud storage as well. If your AWS GCP is there, we accept all of them. [3:05] This can reduce your expenses as well. Uh for this instance I used our local compute that we had. [3:14] Going over to this next uh tab. This is our global branching. We have global branching [3:20] across the whole platform. Uh one of the good things about this if you're experimenting and you [3:25] want to mess something up possibly. You don't need to mess up your whole platform. Uh this [3:31] is relatively important for R&D departments or exploring new types of prototypes as well. Um, [3:39] going over to the data connections. Right now I have 1,66 data connections. Uh, if you name it, [3:46] we most likely have it. If I click into one password here, uh, you'll see that I have all [3:52] the API calls. Why did we do this? When you want to pull data, it's uh, more effective. [4:00] I maybe if you're a BSA let's say you don't have the technical knowledge you know what data source [4:06] you want to go to you know what type of data you want to see by using the system on a daily basis [4:12] this allows you to actually say hey can you pull this from this source and I want to see like [4:18] all the created items I want to see what time they updated at we have all those API calls [4:25] for our agent to automatically procure that data set and it's relatively really quick too to be [4:30] able to do that. Uh, personally, I use GitHub a lot because obviously I'm a technical founder. Um, [4:38] if I wanted to pull uh my repositories, I would just click that button and generate report. Uh, [4:45] I'm obviously not going to screen share that portion because it is my GitHub. [4:50] But the important part that you'll see up above and the activity, I do have that 200. Okay. [4:56] All of our APIs on our data connections are all maintained properly in every day [5:02] with the highest security. How we uh maintain your data connections to ensure that nothing [5:08] goes ary and it stays within our platform. We utilize a zer vault. Every organization [5:14] that's made has their own vault. And this is also where the hivemind connects to. [5:21] If I go over to the front end, a little bit more exciting than the back end. uh the front end. [5:27] This is the canvas. I'll click off the canvas in a second. This is actually a one prompt. [5:33] You'll see there's animations. The important part about these animations is it's actually all CSS [5:39] and DOM. We don't actually import anything from a React library. What does this mean? when you host [5:46] the system on an enterprise computer with a VPN, uh you will not s have any lag or delay in that [5:54] as we're not actually causing a compute bloat ever. So, I'll just scroll down so [6:00] we can uh see a live view of the quality or one second. I might need to refresh. [6:15] So as you can see I went to the canvas. I personally like the canvas most as I can [6:21] do multiple pages. As I scroll you'll see the animations are triggering. [6:26] This is from one prompt of a simple idea that I had for a seltzer. It's just a example demo. [6:34] This has no business uh meaning. But if you were in a consultancy and you needed [6:39] to help a customer get a landing page, it would speed up your effectiveness and efficiency in [6:45] business uh really quickly as you can have a demo mockup ready for a customer and client with some [6:52] additional back on context within 10 minutes. And that type of quality only costs $5 to make [7:00] at the time of that one prompt. Uh it's not only that. If you're a developer and [7:06] you know how to code, you can go into the code repo and you'll have it right there. [7:13] At the same time, there's a blueprint. Let's say I had a ton of data connections connected to this. [7:18] This would be something similar to your data lineage. It would show everything that's [7:23] connected, all of your functionality to your uh data set, to your application that you're [7:29] building out. uh you have something called the Velon flow studio. Essentially, this is where you [7:36] want to build out your idea, but you don't want to spend the tokens or LLM expense because that gets [7:42] expensive quickly. Um so, right here on the side, I typed in fitness. It's going to search Mobin. [7:49] It is connected to the Mobin MCP. I can bring up a couple examples right here of what I want to [7:56] uh build out. What if I want to build out a mobile phone? What if I want to build out a desktop? We [8:01] have both. You can filter to the side, desktop or mobile. If I click into it, I can add the screen. [8:08] I'll add a random screen for this demonstration. Of course, if I click on the back end of it [8:15] because a lot of the time when you vibe code, they lose the back end, your OOTH, your data [8:20] integrations. Uh, so this automatically will map out what you put on the screen for your example. [8:26] That should map out your APIs. uh your button map. Uh when you vibe code, a lot of the time [8:33] you might have a great example, but it's annoying when you click on a button and nothing happens. [8:39] So we map out every button on the back end as well. Your flow you can design out. If I click [8:45] design screen, it'll utilize the LLM within the platform. Currently, we mainly use OpenAI LLM. [8:53] One of the most important things to remember about this platform is if you utilize the platform on [8:59] a 12-month contract or over a 12-month contract, your monthly bill that you pay to us, we actually [9:07] take a percentage, no cost to the customer, invest that into GPU compute power that is [9:13] directly stored and tied to your contract. Meaning eventually as you use the platform, we can offer [9:20] local LLMs to reduce your token spend dependent on your internal security policies of course. [9:28] So let's say you build out a let's say I had a couple screens and you built out [9:33] an entire wireflow. It's really nice to know how much it costs. [9:37] And that's the issue with AI or LLMs nowadays. You can build something out fancy. Before you know it, [9:44] you have a $1,000 bill. You have maybe two screens that are perfectly made. [9:50] On this system, you're able to go on the preview, which is a generic vibe code and infrastructure [9:56] or the canvas that I showcased and it will give you the estimations before you generate [10:02] the image or uh not the image but your react. And dependent on the framework, [10:08] we're able to add different frameworks if you need different support as customers as well. [10:16] If I go into documentations, uh there isn't much documented as it automatically updates as AI. [10:25] I just simply did not have time to update it before coming up here. Uh [10:29] essentially up there you'll see there's a doc, a technical tab, and a business tab. [10:34] The main differential is if you're a developer, it's hard to tell the story half the time. [10:40] I personally struggle with it as the same time. Uh basically it will map out everything that's [10:46] technical, what framework you're using, what backend, APIs, ooths, everything [10:51] that you need to know to understand what was articularly uh generated on the business side. [10:58] uh documentation. It will automatically generate things of ROI, what's the impact to business, [11:04] uh how can you scale, what's your road map ahead, did you complete your road map? [11:11] So, you have two different functionalities. You have a plan uh and a build of course mode. [11:18] Uh as this is just a demo, I don't have any cananband cards, but you can curate them [11:24] uh by hand or by uh gen AI. If you go into your history uh as you complete tasks out, [11:31] it'll give you a burndown trend. The reason why you have a burndown trend is uh [11:37] if you have a scrum master, you want them to be integrated with the technology space as a lot of [11:43] tech stacks don't encounters, managers, project managers, front-end, backend developers, but you [11:51] hit roadblocks a couple of times. It'd be perfect if I said, "Hey, this will generate and you'll [11:56] be good. You'll make money." Uh in real life, you hit roadblocks constantly in development. [12:03] Is it ERP uh integration? Is it the ETL just broke because something changed downstream? [12:09] It will automatically detect it in the system and your burndown trend will get estimated to a [12:15] realistic forecast. Uh this helps management roles understand what the issue is per the project. [12:22] And if you ever want to query what the issue is, you have that hive mind that gives you your [12:27] meat and potatoes to understand what are your blockers uh from the system without holding a [12:34] meeting. This helps asynchronous communication so you can push business solutions much faster. [12:42] If I go out of that now over here, uh this little small tab connect resources. [12:49] Uh it might be a little difficult to see. I'll click on one right now. Um, let's say Stripe [12:58] and I'll go back to my demo just for a visual reference. Uh, up at the top where to buy. What if [13:04] I wanted that to be a shopping cart? But I don't actively have a Stripe account. It's tedious and [13:10] it kind of sucks having to set up new accounts for different solutions to have integrations [13:15] in our system. It'll be able to broker your secret key and actually make that account for you. [13:22] It'll connect to Stripe. It'll make out your checkout process within your design uh schema. [13:28] If you upload the design schema to your flow builder, [13:35] uh [13:39] so after that you have your commits. Uh commits basically just tell you what changed, what hasn't [13:44] changed. Uh if I go to my other uh slide deck, this would be a CRM uh dashboard right here. One [13:54] of the things I do want to point out that map is a one-time generation, meaning I put in a prompt for [14:00] a property management uh CRM. Uh a lot of vibe code platforms struggle to generate a map. It [14:09] fully works as well. Uh a lot of the time in uh property management, there's multiple businesses [14:16] and multiple buildings that have different ownership. Especially in the fintech space, [14:22] each ownership, mortgage, and business regulation has a different set of taxes, rules, and [14:28] operational reports. uh our system connecting with multiple uh you know over the,66 data connections [14:36] will allow you to transform and automate those reports on an automated basis. Um as um [14:43] I'm finishing up here if you do want to connect that's my LinkedIn QR code. Our booth is uh 515 uh [14:53] out there and if you're interested to know more uh just for this event uh ai4.io IO will be able to [15:02] offer free PC's to any company that's interested. No strings attached without any pricing increase, [15:09] just a pure solution that you can keep. And if you're a consultancy, we do have a white labeling [15:16] in the platform that allows you to actually grow your business by using our platform. So if you're [15:23] a consultancy that wants to grow clients and do AI work and build out uh solutions, you don't [15:30] need to build your own platform. You can simply white label ours on a partnership license basis.