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 enables organizations to automate their analytics processes while maintaining data consistency and governance across all tools and teams.

Cube allows 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 can generate charts, summaries, and insights instantly based on user questions. The semantic layer enforces consistent business logic across the organization and enables governed SQL generation from semantic models and policies.

The platform operates by using AI agents that build semantic layers automatically and then utilize them to answer questions and generate reports. These agents follow defined rules and permissions, providing teams with full control over agent behavior. Every insight generated includes explanations of its SQL, sources, and assumptions for easy validation and verification.

Cube helps organizations scale their data teams without increasing headcount by automating ad-hoc analysis and reporting. It accelerates insight-to-action through seamless tool integration and agent collaboration. The platform saves users time by eliminating repetitive query writing and enables consistent metric definitions across all downstream tools.

The platform integrates seamlessly into daily workflows using A2A, MCP, or iframe embedding with existing tools. It is designed for enterprise-grade analytics and serves organizations needing consistent, governed data analysis. Cube fits into modern data stacks and supports use cases including embedded analytics, real-time analytics, LLM and AI semantic layers, and modern cloud OLAP.