Cube is a business intelligence frontend built on Cube's semantic layer, enabling humans and AI to collaboratively model, visualize, and analyze data.
AUTOMATION AT SCALE
Automate ad-hoc analysis and reporting using natural language, no SQL required.
Refine reports iteratively with conversational follow-ups—no need to restart.
Generate charts, summaries, and insights instantly with just a question.
DEEP CONTEXT
Cube Cloud’s semantic layer keeps metrics and logic aligned across all tools and teams.
Agents generate SQL from semantic models and policies, ensuring built-in consistency.
Agents can derive new metrics based on trusted, existing definitions, even if they're not part of the base model.
FULL VISIBILITY AND CONTROL
Agents follow defined rules and permissions, giving teams full control.
Every insight explains its SQL, sources, and assumptions for easy validation.
Admins can certify agent reports, turning them into trusted, reusable assets ready for audit.
INTEGRATIONS
Use A2A, MCP, or iframe embedding to integrate with tools your teams already use.
Orchestrate agents to automate end-to-end tasks, speeding up analysis and decisions.
Save and reuse queries in workbooks or export to other formats.
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, DataRead 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.
Dr. Jun Huang
Global Head of Data Science, Alcon
My first impressions of Cube are genuinely exciting. There’s clearly immense potential; it represents a vast improvement in Cube’s already powerful AI capabilities that will significantly enhance how we derive clear, actionable insights and become an increasingly core element of our multi-agent system. I’m particularly impressed by its advanced ability to help us and our end users dynamically interpret our data, effectively making our existing AI systems more powerful and responsive.
Tim Handley
Chief Product and Technology Officer at Welbee
With Cube, we’ve been able to speed up time to release a new data model to production by 5x and decrease analytics downtime by 90%.
Alessandro Lollo
Senior Data Engineer at Cloud Academy
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