Tool overview
nao Labs is listed under AI Infrastructure & MLOps AI tools.
What is nao Labs?
nao is an open-source framework for building and deploying analytics agents. Data teams create a version-controlled context layer from schemas, metadata, models, rules, repositories, and tools, then give business users a chat interface for grounded SQL, visualizations, stories, and transparent reasoning.
Best for
Data teams deploying governed conversational analytics over existing warehouses
Who is it for?
Decision note
Suitable for evaluation after confirming final commercial terms, permissions, data handling, and edit-screen aliases. Keep Needs Review enabled until a human verifies the published profile.
Key features
Open context builder for schemas, models, rules, and tools
Natural-language analytics with generated SQL
Native charts, stories, and transparent reasoning
Unit tests for question-to-SQL reliability
Self-hosting with bring-your-own model keys
Managed cloud plan with Slack integration
Use cases
Building an internal analytics agent
Letting business users query warehouse data
Testing agent answers before deployment
Versioning analytics context like code
Deploying secure self-hosted data chat
Pros
- Open-source and self-hostable core
- Free plan with full context builder and chat UI
- Works with any warehouse and supported LLM
- Clear reliability testing and source visibility
Limitations
nao can generate incorrect SQL or interpretations when context is incomplete. Data teams must review schemas, rules, permissions, tests, row-level security, model keys, and generated answers before exposing the agent to sensitive or consequential business decisions.
Pricing details
Billing options
Pricing note
The self-hosted plan is free. nao Cloud costs $500 per month for unlimited users and 700 AI requests, with a seven-day trial. Enterprise uses custom pricing and supports self-hosted or cloud deployment.
Supported languages
- English
Integrations
Slack
GitHub
OpenAI
Anthropic
Gemini
Mistral
Amazon Bedrock
Ollama
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