Hex

Overview

Hex is an AI-powered analytics platform designed to make data insight accessible, trustworthy, and actionable. It addresses a core problem in modern analytics: how to let everyone—from data engineers to business leaders—ask questions of their data and get answers that are actually grounded in the facts of the business. Rather than treating analysis as a purely technical exercise, Hex provides a shared workspace where teams can explore, model, and visualize data using familiar tools like Python and SQL. The platform is built around the idea that trust is the missing link between data and decision-making.

At the heart of Hex is a flexible approach to context. By allowing users to define and attach relevant business context to their AI models and analyses, Hex ensures that generated insights are grounded in verified facts and organizational definitions. This earns trust without forcing teams to slow down or wrap their workflows in heavy process. The platform also supports generative data applications: users can build polished, interactive dashboards and apps from natural-language prompts, making it possible to transform an exploratory notebook into a production-ready tool in minutes. These apps can then be shared with stakeholders, embedded in decision workflows, or used to deliver self-service analytics.

Hex is built for collaboration. Multiple users can work on the same analysis simultaneously, with versioning, comments, and sharing built into the flow. This makes it an ideal hub for data teams that need to combine technical rigor with cross-functional input. The platform supports a wide range of data sources, and its Python/SQL foundation means that analysts and data scientists can use the tools they already know, while AI-assisted features help less technical users ask questions and surface insights quickly. Whether you are exploring a new dataset, debugging a metric, or preparing a board-level presentation, Hex provides a seamless path from raw query to final insight.

Organizations use Hex to unlock revenue opportunities, improve operational efficiency, and foster a culture of data-driven decision-making. From marketing teams tracking campaign performance to finance teams building dynamic models, the platform helps translate data into shared understanding. By earning trust through context, and by accelerating the journey from question to answer with AI, Hex positions itself as the analytics layer for the modern enterprise—one where every stakeholder can act on reliable, actionable insight.

Core capabilities

AI-Powered Analysis

Leverage AI to explore, analyze, and visualize data, with insights that are grounded in your business facts for greater reliability.

Flexible Context Framework

Attach defined business context to your AI queries, earning trust without slowing down analysis.

Collaborative Notebook Workspace

Use a Jupyter-compatible notebook environment with Python and SQL support, designed for team collaboration.

Generative Data Apps

Create interactive dashboards and applications from natural-language prompts, reducing development effort.

App Builder

Turn analyses and notebooks into polished, shareable analytics apps with a built-in builder.

Robust Sharing and Publishing

Publish findings as interactive apps or reports and share them securely across the organization.

Ad-Hoc Exploration

Explore datasets, run queries, and iterate on analysis in a flexible, low-ceremony environment.

Trust and Governance Foundation

Keep AI outputs tethered to approved context and verified data, supporting responsible analytics.

Use cases

Revenue and growth analysis

Customer behavior and cohort exploration

Building interactive dashboards and data apps

Self-service analytics for business teams

Collaborative data investigations

Executive reporting and board presentations

Ad-hoc exploratory analysis with AI assistance