Give your customers an AI analyst that answers in plain language — multi-tenant, governed, and grounded in your model. Brex and 400+ companies build on Cube: drop in via iframes, build with our APIs, or ship a fully custom agent over MCP.
Just like these companies:
Built to Be Trusted
Making it safe to point at your customers' data is the real work — Cube was built around the semantic layer from day one.
Every answer runs through your metrics and permissions, so the agent can't invent a number.
Row-level security isolates every tenant, by construction.
Ship It Your Way
Start with a drop-in iframe and graduate to a fully custom agent without re-platforming — every surface runs on the same governed model, so you move between them as your product grows.
The fastest path to embedded analytics — Analytics Chat and dashboards, live in your app in an afternoon.
White-Label
Match your design system — colors, type, and layout primitives.
Custom logos and wordmarks, with no Cube branding your customers see.
Custom agent name, prompt persona, and avatar.
Production Scale
Row-level security flows from your model to each customer's permissions, with no leakage.
Pre-aggregations and Cube's caching keep it fast at high concurrency — the same caching Brex runs on.
SOC 2 Type II, RBAC, encryption at rest and in transit, and BYOK for the hardest tenants.
Proof
RamSoft gave its radiology users native, customer-facing analytics in two weeks by decoupling modeling logic from the UI on Cube — the semantic layer did the governance so the team could build a fully custom front end.
We found an incredibly fast-to-market and flexible modern analytics solution: Cube. With it, we were able to deliver a highly customized and intuitive embedded analytics user experience—in two weeks, and without changing our stack.
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.Dan MeshkovStaff Software Engineer, BrexRead 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.
Anthony Cronander
Senior Analytics Engineer, Drata
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.
Rocio Delgado
Senior Engineering Manager at Webflow
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.
Dr. Jun Huang
Global Head of Data Science at Alcon
Multi-tenant, governed, grounded in your model.