The AI Analytics Platform where trust meets insight

Hex is the AI Analytics Platform where trust meets insight: a single, connected workspace where data practitioners run deep analysis, business users ask questions in plain language, and everyone collaborates on the same data. A shared context engine ensures every AI-generated insight is accurate and consistent.

An AI Analytics Platform combines three capabilities in one connected system: AI agents for deep analysis, conversational self-serve so anyone can ask questions in plain language, and trusted data apps for sharing insights. The platform part is what matters: everything runs on shared context, so every answer is consistent and trustworthy, whether it comes from an analyst's notebook or a business user's question.

Hex allows anyone to get answers from data with AI. Whether youre a member of the data team running code-based experiments or a business user looking to self-serve a one-off question, Hex provides tailored AI-workflows for you to find answers from data, faster.

Data teams switch to Hex because it gives them one connected, AI-native workspace for everything they do with data. Deep analysis, one-off questions, and critical business dashboards all happen on the same trusted context. Instead of juggling separate notebooks, BI tools, and ad-hoc Slack requests, Hex brings data work & AI together in one place.

Yes. Hex lets anyone ask questions in plain language in Hex, Slack, or via MCP and get AI-generated analysis backed by your actual data, metrics, and business rules. No SQL, no Python, no ticket to the data team. And when a question needs deeper investigation, a data practitioner can jump directly into the same workflow without switching context.

Hex's context engine combines database descriptions, semantic models, business rules, and analytical logic into one curated layer that powers every AI answer. Data teams can observe whats being asked, catch inconsistencies, and continuously improve context over time. The result: business users get answers they can act on, and data teams maintain visibility and control over every insight.

Traditional BI tools separate deep analytical work from reporting, meaning multiple tools and multiple sources of truth. Hex doesn't make that tradeoff. A complex model built by a data scientist can become an interactive app for business users with one click. When that app raises a new question, anyone can ask it in plain language using all the logic the analyst built. One platform, one shared context layer.

Horizontal AI tools don't know your company's data, your business definitions, or your metrics. They generate plausible-sounding answers that may not reflect your actual numbers. Hex's AI is grounded in your real data, connected to your warehouse, and governed by your metric definitions and business rules. The resulting insights are specific, trusted, and consistent and built to improve the more your team uses it.

Hex enables you to bring all your businesss critical data context into one workspace. Solution-specific analytics platforms exacerbate tool sprawl and siloed workflows between teams, while creating governance gaps leading to poor decisions and thrash.

Snowflake and Databricks are where your data lives: storage, compute, and governance. Hex is where people work with that data. We connect natively to both, so nothing has to move and your existing permissions carry over, and we layer on the agentic analysis, self-serve Q&A, and context tools that turn whats in your warehouse into trusted answers for data teams and business users alike. Most Hex customers run on Snowflake or Databricks today, and Hex makes that investment more useful, not something to replace.