Wren AI

Wren AI converts business questions into SQL queries, answers, charts, and dashboards, helping teams and AI agents analyze company data through governed, natural-language interactions.

At a Glance

Pricing Freemium

Wren AI is an open-source Generative Business Intelligence (GenBI) platform that converts natural-language questions into SQL queries, data summaries, and interactive charts. It connects to databases and data warehouses, allowing business teams to explore company data without writing SQL manually. Its semantic context layer helps AI understand business definitions, metrics, and data relationships. Wren AI also supports external AI agents through APIs and the Model Context Protocol (MCP). It provides a governed way for teams and AI agents to access business data.

How Wren AI Works

  • Connect and Model: Connect a database or warehouse and define tables, schemas, and semantic models.
  • Context Enrichment: Add business rules, metadata, glossaries, and example SQL queries to provide context to the AI.
  • Query and Retrieval: Users or AI agents ask questions in plain language, and Wren retrieves relevant context to generate SQL.
  • Execution and Visualization: Wren runs the SQL against the connected data source and returns results as charts or dashboards.

How We Rated Wren AI

We evaluated Wren AI based on its text-to-SQL capabilities, semantic modeling, database integrations, AI agent support, deployment options, and pricing.

Pros

  • Open-source core with developer extensibility.
  • Provides consistent business definitions through its semantic layer.
  • Supports different LLMs and AI agents.
  • Offers cloud and self-hosted deployment options.

Cons

  • Generated SQL and results may require validation.
  • Lower plans have credit and project limits.
  • Advanced data controls require the enterprise cloud.
  • External LLM API costs may apply separately.

  • Data analysts and scientists.
  • Product and operations managers.
  • Engineering and AI teams.

  • Convert business questions into SQL.
  • Generate charts from natural-language prompts.
  • Maintain consistent business definitions.
  • Connect AI agents through MCP and APIs.
  • Deploy in cloud or self-hosted environments.

Wren AI's Key Features

Text-to-SQL & Text-to-Chart

Governed Semantic Context Layer

Multi-Step Agentic Workflow

Broad Data Source Support

Omnichannel Access

Pricing

Free

Free

Essential Cloud

$259.00 /mo

Enterprise Cloud

$799.00 /mo

Disclaimer: for the latest and most accurate pricing, please visit the official Wren AI website.

Frequently Asked Questions

What is Wren AI used for?
Wren AI is used to query business data through natural-language questions, generate SQL, create charts, and provide governed data access to teams and AI agents.
How does Wren AI generate SQL from natural language?
Wren AI interprets a user's question, retrieves relevant business context from its semantic layer, and uses that information to generate SQL queries for the connected database.
What is the role of the context layer in Wren AI?
The context layer stores business definitions, metrics, metadata, glossaries, and example SQL queries. It helps the AI understand company-specific data and generate more relevant answers.
Can Wren AI connect with ChatGPT and Claude?
Wren AI supports external AI agents through APIs and MCP. However, the supplied information does not confirm specific ChatGPT or Claude integrations.
Does Wren AI support MCP integration?
Yes. Wren AI includes an MCP server that allows external AI agents to access governed business data and query capabilities.
Can Wren AI be deployed on-premises?
Yes. Wren AI offers a self-hosted Enterprise Plus option for organizations that need deployment in their own infrastructure, including regulated environments.

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