Cube is an agentic analytics platform built on a semantic layer that grounds AI-powered analytics in a single governed data model. It helps data teams and product builders deliver consistent, trusted answers across every analytics surface — from internal BI to customer-facing embedded analytics.
Key Features
- Analytics Chat: Natural-language querying grounded in the semantic model, so answers are accurate, governed, and consistent regardless of who asks.
- Workbooks: Combine SQL, a visual editor, and a Workbook Agent that drafts and iterates on queries with you.
- Dashboards: Build dashboards conversationally with a Dashboard Agent, with sub-second performance via pre-aggregations and caching.
- Embedded Analytics: Ship AI-powered analytics inside your product with multi-tenant governance, iframes, APIs, and Creator Mode.
- AI Integrations: Connect Cube to tools like Claude, ChatGPT, Cursor, and Slack via an MCP server.
Use Cases
- Governed business intelligence for data teams
- Embedded analytics inside customer-facing products
- Agentic AI analytics with consistent metric definitions
Who It’s For
- Data teams, data analysts, and analytics engineers
- Product and engineering teams building embedded analytics
- Organizations needing governed, multi-tenant analytics
Key Benefits
- Semantic layer ensures consistent metric definitions across every analytics surface
- Natural-language analytics grounded in a governed semantic model
- Multi-tenant embedded analytics with governance flowing through to customer permissions
- Sub-second performance via pre-aggregations and caching