Flow AI — for LLMs and AI agents

# Flow AI – Data Agent Infrastructure
Flow AI is the infrastructure layer to turn analytical SaaS products into agentic systems with a schema-aware data model, deterministic reasoning, validated generative UI components, and enterprise-safe execution — capabilities that go far beyond standard model APIs.

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# Ship customer-facing data agents inside your product
Build analytical AI agents that natively reason over structured data, rules, and customer context – and generate visual insights directly in your UI.

[ Problem ]

## Your product has rich data — but agents can’t use it as-is.

### Customer-facing agents fail on real analytical tasks
LLMs cannot natively interpret multi-tenant schemas, custom logic, and legacy models. They guess — your product cannot.

### Your domain logic lives outside your data schema
Rules, formulas, constraints, and definitions are spread across people and documentation, inaccessible to agents.

### Simple chat interfaces can't deliver analytical clarity
Your users expect interactive charts, comparisons, and scenarios they can trust — not static, unverified text outputs.

[ Solution ]

## Infrastructure for data-heavy SaaS to ship production-grade data agents
Scalable foundation for data, reasoning, and UI generation that lets you ship reliable analytical agents — without rebuilding your stack.

- Semantic data layer
- Agentic reasoning
- Generative UI
- Enterprise runtime

[ Semantic data layer ]

## Turn complex data models and rules into agent-ready knowledge

### Structure extracted automatically
Tables, relationships, and constraints are transformed into a clear, governed representation that agents can reason over reliably.

### Business rules encoded as logic
Definitions, naming standards, and exceptions, are captured and encoded so agents operate with full domain understanding.

### Continuous improvement from real usage
User corrections, query patterns, and feedback refine the system, making agents less error-prone and more aligned with how your customers think.

[ Agentic reasoning ]

## Deterministic reasoning and data operations for analytical agents

### Agents reason over your schema and rules
Your agents operate on a structured model grounded in your schemas, definitions, and business rules.

### Transparent, reviewable steps for every query
Each request produces a reasoning plan of data selections, filters, transformations, and model calls. Edit, constrain, or approve – then let the agent run it.

### Agents can perform multi-step data operations
Agents can read data, apply multi-step transformations, write updated snapshots back to your database, trigger internal predictive models, and retrieve results.

[ Generative UI ]

## Structured visual outputs that fit natively into your data product

### Validated components your agents can trust
A validated registry of charts, tables, comparisons, KPIs, and controls ensures agents only produce safe, renderable UI.

### Works anywhere in your UI, not just chat
Agents can output charts, tables, and comparisons that you can embed inside your product — or surface through a chat interface.

### Fully native to your product experience
Use your layouts, styling, and design system. Flow AI supplies the structure and validation; you own the brand.

[ Enterprise runtime ]

## Scalable execution layer for analytical agent workloads
Run your agents securely in your stack with zero lock-in. Use your preferred models, control execution, and deploy anywhere.

| Feature | Specification |
| :--- | :--- |
| Models | OpenAI, Anthropic, Gemini, Llama, Mistral, Qwen, and more |
| Hosting | AWS, Azure, GCP |
| Deployment | On-premise or SaaS |
| Data residency | EU or US |

[ About us ]

## Built by early pioneers in AI agents
From the original generative writing assistant to industry-leading evaluation models, we've spent years turning LLMs into reliable, real-world products.

### Backed by
- Project A
- Seedcamp
- Lifeline
- Moonfire

[ Timeline ]

## Demo to production in 3 weeks
We help you turn your existing data and tools into a reliable data agent embedded directly in your product UI.

### W1: Establish the foundation
Connect to your data, extract schema, parse documentation, and build the initial semantic layer.

### W2: Build reasoning and UI
Configure the agent's reasoning and the UI components it will render.

### W3: Integrate and release
Embed the agent into your product, validate outputs, and ship the first version.

## Links
[Product](#)
[Research](/judge)
[Blog](/blog)
[About](/about)
[Contact](mailto:hello@flow-ai.com)
[Legal](/legal)

© 2025 Flow AI