Agentic analytics for data teams
Data teams are buried in the reporting backlog while everyone waits on answers. Cube is the agentic analytics platform built on a semantic layer: analysts model metrics once, and AI agents let the rest of the org self-serve on those governed definitions — without generating fifteen versions of the same number. You keep control; the business stops waiting.
Smarter Data, Faster Data-Driven Decisions
AI analyst agents generate, refine, and explain analysis using your governed semantic model, clearing the reporting backlog without sacrificing control. Analysts scale their work instead of rebuilding the same report for every request.
Simplify Integration Across Sources and Consumers
Model data from your cloud warehouse once into governed definitions that every consumer reads — AI, BI, and business teams. No more conflicting datasets or manual reconciliation between tools.
Ensure Data Quality and Accuracy
The semantic layer standardizes metrics before anyone queries them, so analysts and stakeholders work from consistent, high-quality definitions. Fewer errors, better forecasting, and more confidence in the numbers behind decisions.
Accelerate Time-to-Insight
High-performance caching keeps queries fast across your analytics stack, so agents and analysts get answers at interactive speed. Faster access to governed data means the business decides sooner.
Self-Service for the Business, Control for the Data Team
Business users get governed, self-service access through natural language, while the data team keeps definitions intact. Break down silos and raise data literacy without handing over the keys to the model.
