Cube

Overview

Cube is an agentic analytics platform built on a semantic layer, designed to provide AI-native business intelligence and embedded analytics. It aims to deliver consistent and governed answers for internal teams and external customers by grounding all analytical surfaces in a single semantic model.

Key Features

• Semantic Layer — Establishes a unified data model to ensure consistent metric definitions across various analytical tools and user interfaces.
• AI-Native Analytics Chat — Enables natural language querying against the semantic model, providing accurate and governed answers.
• Embedded Analytics — Facilitates the integration of AI-powered, multi-tenant, and governed customer-facing analytics into SaaS applications.
• Workbooks and Dashboards — Provides tools for data exploration, visualization, and reporting, with capabilities for custom chart creation and geospatial analysis.
• Governance and Access Policies — Offers features for auditing access policies, including row-level filters and member restrictions, to control data visibility.
• Agent Skills and Rules — Allows the definition of reusable multi-step workflows and business rules for the Cube AI agent to follow when analyzing data or answering questions.
• Multi-Cloud Hosting — Provides a managed hosting solution for the Cube universal semantic layer, supporting deployment on various cloud providers.

Who It's For

Cube is designed for data teams, analytics engineers, and software developers within organizations that require consistent, governed analytics for both internal business intelligence and customer-facing embedded applications. It targets companies that need to ensure data accuracy and reliability across diverse analytical surfaces and AI interactions.

Notable Strengths

Cube's primary strength lies in its semantic layer, which acts as a single source of truth for metric definitions, ensuring consistency across all analytical outputs, including AI-driven insights. This foundation allows for the reliable deployment of AI-native analytics and embedded solutions, as evidenced by its adoption by companies like Brex and Webflow for customer-facing applications. The platform also offers extensive governance capabilities, flowing from the semantic model through to user permissions.