Hex

Hex provides an AI analytics platform that lets data teams explore, analyze, and build with data through conversational input and built-in governance. The platform supports notebooks, agents, and self-serve data apps, all designed to work with the organization’s context. Hex emphasizes grounded, trusted answers derived from semantic models, warehouse metadata, and existing dashboards. The product aims to enable both technical and non-technical users to ask questions and obtain analyses.

Hex operates as a collaborative environment where notebooks and data apps live together and can communicate with each other. The notebook is enhanced with AI agents that generate and edit code, while Threads offers a conversational interface for quick questions and insights. The system centers on shared context to ensure consistency and trust across analyses, whether produced by a data team or end users.

Security and governance are highlighted as core parts of Hex, with metadata stored securely and data processing aligned with terms of service. The platform includes controls for admins to enable or disable AI features, and it mentions features like semantic models, endorsements, and governance for trusted data usage. The focus remains on maintaining control over data context and AI behavior within organizational policies.

Hex documents its AI features, governance mechanisms, and integration points, including a CLI for publishing findings and options to bring your own keys for enterprise use. The pages describe various components like Generative Apps, Notebook Agent, Threads, and Context Studio, as well as security and compliance considerations such as data privacy and retention, to outline the scope of the product.

Use cases

• Conversational analytics for everyone, enabling quick questions and deep answers grounded in data context.
• Agentic workflows start with questions and produce first drafts in minutes, with agents handling tedious parts of data work.