Hex is a collaborative data analytics platform designed to bridge the gap between technical data teams and business users through AI-powered workflows. The platform provides an integrated workspace where users can perform deep analysis with code, ask natural language questions, build interactive dashboards, and create semantic models—all grounded in the same trusted context.

At its core, Hex features agentic data notebooks that support SQL, Python, and R, enabling data scientists and analysts to conduct sophisticated analyses with built-in AI assistance. The Notebook Agent helps users generate charts, write queries, debug code, and accelerate complex workflows. For non-technical users, Threads offers conversational analytics where anyone can ask questions in natural language and receive answers backed by governed data sources and semantic models.

The platform includes a Context Studio for data teams to define semantic models, establish business rules, and curate trusted data definitions that power accurate AI responses across all user workflows. This ensures consistency and accuracy whether users are working in notebooks, conversational interfaces, or point-and-click exploration tools. Hex also provides data app capabilities for building and sharing interactive dashboards and reports that combine code, visualizations, and user input controls.

Hex connects out-of-the-box with popular data warehouses including Snowflake, BigQuery, and Databricks, supports OAuth authentication, and integrates with dbt for metadata enrichment and metric definitions. The platform enables collaboration through multiplayer editing, version control via GitHub and GitLab integration, and orchestration support with Airflow, Dagster, and Prefect. Organizations can embed Hex analytics directly into customer-facing applications for secure, white-labeled data experiences.