Cube is an agentic analytics platform designed to transform business intelligence workflows through AI-powered data analysis. The platform serves as a semantic layer foundation that provides enterprise-grade analytics tools for organizations seeking to scale their data operations.

Cube enables users to query data using natural language, eliminating the need for SQL expertise. The platform supports conversational follow-up questions to refine reports iteratively without restarting the analysis process. It generates charts, summaries, and insights instantly based on user questions and enforces consistent business logic across the organization through its semantic layer.

The platform operates by having AI agents build semantic layers automatically from connected data sources. These agents generate SQL from semantic models and policies, ensuring built-in consistency and governance. The system can derive new metrics based on trusted, existing definitions even if they're not part of the base model.

Cube provides full visibility and control over agent behavior, with every insight explaining its SQL, sources, and assumptions for easy validation. Administrators can certify agent reports, turning them into trusted, reusable assets ready for audit. The platform integrates seamlessly into daily workflows through A2A, MCP, or iframe embedding with existing tools.

The platform targets data teams and organizations looking to scale their analytics capabilities without increasing headcount. It serves use cases including embedded analytics, real-time analytics, LLM and AI semantic layers, and modern cloud OLAP solutions for businesses requiring consistent, secure, and performant data analysis.