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.
GenBI Apps
Ask for a dashboard, report, or custom view in plain English. Refine it conversationally, then save it as a reusable Artifact for your team.
Agentic Design
Go beyond one-shot Q&A. The agent plans multi-step analysis, queries data, creates charts, applies project knowledge, and uses repeatable Skills to complete the work.
Knowledge, Skills & Memory
Knowledge gives everyone shared business context. Skills package repeatable team workflows. Private, project-scoped Memory helps the agent adapt to each person's preferences and corrections.
Agent-friendly architecture
Model business logic as structured, agent-readable context. Version-control MDL projects, validate changes, and move the same definitions safely across development and production.
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.
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.
Move faster without losing the meaning behind your data.
01Agentic Design
The agent plans multi-step analysis, queries data, builds charts, and applies reusable workflows to complete more than one-shot Q&A.
02Knowledge, Skills & Memory
Share curated business knowledge and repeatable Skills across the project while private Memory adapts to each user's preferences.
03Agent-ready through MCP
Connect compatible AI clients to a repeatable workflow for asking questions, generating SQL, charting results, and explaining insights.
04Context before generation
Keep AI planning inside approved models and business definitions, with additional identity and data controls on supported surfaces.
05Embedded GenBI
Add conversational analytics through white-label Threads or build a custom product experience with Wren AI APIs.
06Flexible deployment
Choose Wren AI Cloud or a self-hosted deployment that fits your infrastructure and operational requirements.
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.
