Wren AI
Open-source agentic GenBI that turns plain-English questions into governed SQL, charts, and dashboards.
About Wren AI
Wren AI is an open-source, agentic GenBI (generative business intelligence) platform that lets teams and AI agents ask business questions in plain English and receive governed SQL, charts, and interactive dashboards across 20+ data sources. It uses a semantic engine (MDL) to give LLMs context about a company's data, enforces row- and column-level security at query time, and can be run in the cloud or self-hosted. It also supports embedding conversational analytics into products via iframes, a REST API, and MCP, plus a self-learning feedback loop for improving accuracy.
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Commonly Cited Strengths & Limitations
Strengths
- Open-core / open-source context engine
- Governed and auditable at query time
- Supports 20+ data sources
- Cloud or self-hosted deployment
Common Use Cases
- Business data querying in natural language
- Generating business insights
- Data onboarding and analysis
- Enhancing data documentation
- Automating SQL generation and validation
- Building interactive dashboards
- Embedding conversational analytics into products
- Enabling AI agents to query governed data
Details
- Pricing Model
- Freemium
- Category
- Analytics & BI
Key Features
- Text-to-SQL
- Governed at execution
- MDL semantics / semantic model
- 20+ connectors
- GenBI apps
- Embedded API
- Agent skills & memory
- Row-level and column-level policy (RLS/CLS)
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