Wren's GenBI agent
One governed data agent.For your team and your AI agents.
Your team asks Wren's GenBI agent for answers, dashboards, and GenBI Apps. Claude, ChatGPT, or your own agents call the same agent over MCP. Every answer resolves through one context layer you own.
What is Wren AI
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.
People, agents & products
Your team works in the GenBI agent and GenBI Apps. Claude, ChatGPT, or your own agents call Wren as a sub-agent over MCP. Embed Threads and APIs in your product. Run on Wren AI Cloud or self-host.
Context layer
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.
MCP for AI agents
Let your AI agents call Wren as a sub-agent.
Claude, ChatGPT, Claude Code, or your own MCP client hand data questions to Wren. It plans the query, runs governed SQL, charts, and summarizes through the same context layer your team uses.
Data connections
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 your people and your agents query 20+ sources in place, without rebuilding pipelines.
GenBI Apps
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.
Embedded GenBI
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.
Evaluation framework
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.
Security and governance
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.
Who it's for
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, Teams, and the AI agents your teams already use, 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.
