Wren AI Cloud
Open SourceAgentic GenBI platform that turns plain-English business questions into governed SQL, charts, and interactive GenBI apps using a shared context layer for teams and AI agents.
Informations sur l’outil
Qu'est-ce que Wren AI Cloud ?
Wren AI Cloud is an agentic GenBI platform that enables humans and AI agents to analyze data with trusted, context-grounded answers by connecting existing data sources to a shared semantic Context Layer (MDL). It produces governed text-to-SQL, visualizations, reusable GenBI apps, and embeddable conversational analytics.
Fonctionnalités principales
GenBI Apps
Create dashboards, reports, or custom views from plain-English requests, refine elements conversationally, preview and inspect generated code, and save results as reusable team Artifacts.
Agentic Design
Multi-step agent that plans analysis, queries data, creates charts, applies project knowledge, and uses repeatable Skills beyond one-shot Q&A, with sandboxed and traceable reasoning.
Knowledge, Skills & Memory
Shared business Knowledge for consistent context, Skills that package repeatable workflows, and private project-scoped Memory that adapts to user preferences and corrections.
Context Layer and MDL
Model metrics, relationships, calculations, knowledge, and instructions once in version-controlled MDL so questions, charts, apps, and API requests resolve through the same business definitions.
MCP for AI Agents
Connect Claude, ChatGPT, Claude Code, or custom MCP clients so agents can ask questions, generate and run SQL, build charts, and summarize results through the modeled business context.
Data Connections
Query data in place across 20+ warehouses, databases, query engines, and CSV files without rebuilding pipelines or copying data.
Embedded GenBI
Ship white-label conversational analytics inside products via Embedded Threads, AI APIs, or MCP while keeping answers aligned to brand, definitions, and governance.
Security, Governance & Deployment
Use warehouse permissions as the primary boundary plus Context Layer allowlisting, OIDC identity, project isolation, and query-time RLS or CLS, with multi-tenant cloud, private cloud, and air-gapped on-prem options.
Cas d'utilisation
- #1
Plain-English business analytics
Ask business questions in natural language and receive grounded SQL, charts, and trusted insights without writing SQL or waiting on the data team.
- #2
Interactive dashboard and report generation
Turn a prompt into a live GenBI dashboard or report with drill-down, roll-up, filters, and the ability to save as a shared Artifact.
- #3
AI agent data access via MCP
Give existing AI agents (Claude, ChatGPT, custom clients) governed access to query data, visualize results, and return structured answers through Wren AI's context layer.
- #4
Embedded conversational analytics in products
Embed white-label Threads, APIs, or MCP so end users can ask follow-up questions inside a product under the same governed definitions.
- #5
In-place warehouse analytics
Analyze data where it already lives by connecting warehouses and databases directly, keeping data control in the warehouse.
Plans tarifaires
Open-source GenBI is available; users can start for free and scale with Wren AI Cloud. Demo scheduling is offered on the site. Detailed paid plan tiers are not specified in the provided official snapshots.
Alternatives
Foire aux questions
What is Wren AI Cloud?
Is Wren AI open source?
What data sources does Wren AI support?
How does the Context Layer and MDL work?
Can AI agents connect to Wren AI?
What deployment options are available?
Wren AI Cloud Contacts et réseaux sociaux
- SociétéWren AI
- Assistance
- Site Internet :
- Twitter
- LinkedIn
- GitHub
- Discord
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