Trusted answers for everyhuman and AI agent.
Wren AI turns business questions into grounded analysis, governed SQL, and interactive GenBI Apps. One context layer keeps your metrics, knowledge, and instructions consistent everywhere.
Give every question the right business context.
Wren AI connects your data with shared metrics, domain knowledge, and operating instructions so teams and agents reach answers they can understand and trust.
Agentic Design
Go beyond one-shot Q&A. The agent plans multi-step analysis, queries data, builds charts, and applies reusable Skills to finish the work.
Knowledge, Skills & Memory
Knowledge gives everyone shared business context. Skills package repeatable team workflows. Private, project-scoped Memory adapts to each person's preferences and corrections.
Governed Context Layer
Model business logic as structured, agent-readable context. AI plans inside approved models and definitions, and MDL projects stay version-controlled from development to production.
Apps, agents & embedded
Use GenBI Apps in the browser, connect AI clients through MCP, or embed Threads and APIs in your own product. Run on Wren AI Cloud or self-host.
Define the business once. Use it everywhere.
Model metrics, relationships, calculations, and approved data in Wren AI's MDL. Questions, charts, apps, and API requests resolve through the same business definitions.
Bring trusted data context to your AI agents.
Connect Claude, ChatGPT, Claude Code, or a custom MCP client to Wren AI. Agents can ask questions, generate and run SQL, build charts, and summarize results through your modeled business context.
Analyze data where it already lives.
Connect directly to leading warehouses, databases, query engines, and CSV files. Wren AI queries your existing data source so you can add GenBI without rebuilding your pipelines.
Turn a question into an interactive GenBI App.
Describe the dashboard, report, or custom view you need. The agent builds it from your modeled data, then helps you refine individual elements and save the result as a shared Artifact.
Ship conversational analytics inside your product.
Embed white-label GenBI through Threads, APIs, or MCP. One context layer keeps every answer aligned with your brand, data definitions, and governance policies.
Benchmark every answer. Fix every failure.
Define real questions with known answers, run the benchmark, and let AI Advisor trace root causes and propose targeted fixes until the agent meets your standard.
Keep the warehouse in control.
Use warehouse permissions as your primary boundary, then add Context Layer allowlisting, OIDC identity, project isolation, and query-time RLS or CLS where supported.
Built for enterprise data leaders. With a clear path for every team.
Deliver an AI analytics strategy your executives will actually believe.
Your board wants AI on the roadmap; your auditors want control. Wren AI gives you both: governed self-service on the warehouse you already run, delivered in Slack and Teams, with every answer traceable to a definition your team approved.
Start open source. Scale with Wren AI Cloud.
Build a version-controlled Context Layer with Wren AI OSS, or choose a commercial plan for managed GenBI, team workflows, embedded experiences, and enterprise controls.
