AI agent that builds your data model and answers questions
AI analytics tools hallucinate because they query raw tables without understanding your business logic. Cube fixes this: AI agents build your semantic layer automatically, then use it to answer questions and generate reports with no hallucinations. Connect your data, get accurate results in seconds. Built on Cube's open-source semantic layer (19K+ GitHub stars). Free tier available.
Cube provides a universal semantic layer that acts as a single source of truth for metric definitions and business logic. It enforces consistent semantics across the organization, enables governed SQL generation from semantic models, and allows teams to derive new metrics based on trusted definitions—eliminating redundancy and inconsistency across BI tools.
Cube's agentic analytics automates ad-hoc analysis and reporting at scale. The semantic layer enables consistent logic reuse across tools, and AI agents handle routine analysis tasks. This allows data teams to serve more business users and use cases without linear headcount growth.
Cube provides full visibility and control over agent behavior through defined rules and permissions. Every insight explains its SQL, sources, and assumptions for validation. Admins can certify agent reports, turning them into trusted, reusable assets ready for audit. Enterprise plans include SSO, audit logging, and advanced security features.
Cube supports seamless integration through A2A, MCP, or iframe embedding, allowing teams to embed analytics chat and dashboards directly into daily workflow tools. The platform orchestrates agents to automate end-to-end tasks and can save and reuse queries across workbooks or export to other formats.
Cube's agentic analytics platform uses AI agents to interpret natural language queries, generate governed SQL from the semantic layer, and return charts, summaries, and insights instantly. Users can refine reports iteratively with conversational follow-ups, automating ad-hoc analysis and reporting without SQL knowledge.