The agentic analytics platform built on a semantic layer
BI for both humans and AI agents — for your team and your customers. One semantic model keeps every answer governed and consistent.
The business intelligence built for AI agents.
And the humans they work with.
As AI agents become more autonomous, they run more operations and make more decisions without waiting for a person. Cube gives them governed, reliable business data through MCP and APIs — so every decision is grounded in trusted context.
Ship AI-powered analytics inside your product without rebuilding your BI stack. Multi-tenant, governed, and built around the semantic layer.
Analytics Chat API
Build a fully custom AI analytics experience — agent-to-agent capable via MCP.
Embedded iframes
Analytics Chat and Dashboard iframes — the fastest drop-in path.
Creator Mode
Full workbook and dashboard creation, embedded inside your app — your customers build their own.
Core Data APIs
Maximum control at the data layer; build any UI on top.
Your colors, your branding, your agent name — Cube's embedded surfaces disappear into your product.
Multi-tenant by construction. Governance flows from your model through to your customers' permissions.
“Brex chose Cube over dbt Semantic Layer and LookML — the semantic layer is what makes the AI useful at scale.”Read the story
Governed AI-native BI for your data team. Cube's semantic layer keeps your definitions consistent across every surface.
Natural-language analytics, grounded in your model.
Ask questions in plain English. Cube's Analytics Chat builds queries against your semantic model — so answers are accurate, governed, and the same regardless of who asks.
Customer stories
“The CSMs can answer their own questions just by chatting with the data.”
“Regardless of the rest of your stack, any tool will be able to read from that and give you a consistent, governed analytics and insights experience.”
“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“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.”
“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.”
