Overview

Wren AI is a generative business intelligence platform that connects data to a shared semantic layer. Users ask questions in natural language; the system generates SQL, runs queries and presents charts or dashboards.

The context layer formalizes metrics, relationships and business rules to reduce inconsistent answers. The project is available as self-hosted open source software and as Cloud plans with governance, collaboration, security and embedded API capabilities.

Wren AI is intended for teams that want broader data access without losing common definitions and controls. Implementation requires more modeling than a tool that only analyzes an uploaded file.

Key features

Turns business questions into SQL, charts and dashboards.

Centralizes metrics, relationships and rules in a governed semantic layer.

Connects to more than twenty databases, warehouses and file sources.

Provides APIs, SDKs and MCP for embedding analytics in agents or applications.

Best use cases

Give business teams controlled access to company metrics.

Create a reusable dashboard from a natural-language request.

Provide shared data context to multiple AI agents.

Pros

The open-source edition can be self-hosted.

The semantic layer improves metric consistency across users.