AI-native BI for your data team — and everyone they serve
Cube grounds your AI on a single governed model — so the same question gets the same answer across chat, workbooks, dashboards, Claude, ChatGPT, and Slack.
and 50+AI-native BI, built around the semantic layer from day one
Most BI tools are dashboard-first or notebook-first, with AI bolted on later. Cube was built around the semantic layer from day one — which is what makes the AI useful, not just present.
- Grounded answers, not guessesAI queries your governed model directly — no schema-guessing, no hallucinated metrics, no fifteen versions of active user.
- Same answer everywhereAsked in chat, a workbook, a dashboard, or over MCP — every answer ties back to the same governed definitions.
- Governance that flows throughRow-level security and access controls hold from the model down to every answer your team sees.
Built on Cube Core — the open-source semantic layer
Cube Core is Apache-licensed and battle-tested across years of production use. The agentic platform stands on a foundation you can read, run, and trust — not a closed box.
Four agentic surfaces, one governed model
Analytics Chat
Natural-language analytics, grounded by default — no SQL required.
Workbooks
AI-augmented analyst exploration on the governed model.
Dashboards
AI-augmented visual reporting anyone can read.
AI in your tools
Cube where your team and their AI already work.
Governance and flexibility — both, not either
- Fast under loadPre-aggregations and caching keep queries fast on big tables at high concurrency.
- Governed by default, flexible at query timeA SQL-first semantic layer that's extensible at query time, so analysts don't wait for the data team.
- One definition of every metricGovernance flows from the model through every surface — no fifteen versions of active user.
Analytics where your team already works
- MCP serverCube as the source of truth for any AI agent: Claude, ChatGPT, Cursor, or your own.
- Slack agentNatural-language analytics in your team's channels, governed by default.
- More on the wayThe same architectural foundation, meeting your team where it already works.
Data teams running on Cube
“The future of reporting isn't a chart, it's an insight. Large language models are becoming a commodity — the LLM is the engine, but the semantic layer is the map. A well-modeled ontology is the difference between 'I don't understand that question' and a correct, contextualized answer with a chart and a clear explanation. Cube gives us the foundation to make that real for every customer.”
Read the story“Cube becomes our single source of truth for metric definitions and powers everything from customer-facing dashboards to AI-driven quarterly business reviews. CSMs gain back dozens of hours each quarter, enabled by Cube’s semantic layer and agentic analytics.”
“We integrated Cube Cloud smoothly with ClickHouse, leveraging both for fast query execution while maintaining the abstraction needed for different teams to access data without diving into database-specific complexities.”
“Without Cube, our data analysts might have to write 20 different queries for a single core business metric. With Cube, that metric is defined once in the data model, and every downstream tool uses that definition along with the associated calculation logic.”
Bring AI-native BI to your whole team
One governed model. The same answer everywhere.