Cube

Cube is an agentic analytics platform built on a universal semantic layer that centralizes an organization’s metric and data definitions. Its primary function is to act as a bridge between complex data sources and end-user tools, ensuring that any query—whether made through traditional dashboards or via natural language—always returns consistent and accurate results. This solution is particularly useful for data teams requiring end-to-end governance and for software companies looking to integrate high-quality embedded analytics into their own products.

The tool's technology is based on a governed semantic model that serves as a contextual map for large language models (LLMs). Unlike generic AI approaches, Cube bases its Analytics Chat responses on definitions pre-established by the data team, eliminating the risk of hallucinations and ensuring business context remains intact. Thanks to its AI context layer, users can ask complex questions in plain language and receive precise answers directly linked to the company’s operational logic.

The platform’s functional capabilities are divided into several key pillars:

Analytics Chat: An AI interface for querying data using natural language, allowing any team member to get answers without needing to write SQL.

AI-Native Embedded Analytics: Enables developers to embed analytics chats and custom dashboards into SaaS applications, with native support for multi-tenant environments.

Workbooks and Dashboards: Visual tools for deep data exploration that allow for reports where every figure matches the centralized definition.

Flexible APIs: Provides access via SQL, REST, and the Analytics Chat API, making it possible to build custom data experiences or connect with tools like Slack and spreadsheets.

dbt Integration: Allows for syncing and leveraging existing data transformation models to maintain consistency across the entire tech stack.

To ensure optimal performance in production environments, the platform features Cube Store, a query caching and acceleration technology that reduces latency and improves response speeds for large data volumes. By separating business logic from the visualization layer, Cube enables companies to maintain a scalable single source of truth. This ensures that both internal analysts and external clients can access governed, secure, and up-to-date information from any device, whether a computer or a mobile terminal.