Hex

Hex is an AI analytics platform built by Hex Technologies Inc., a company that has been developing data tools for over six years. The platform connects data practitioners running deep code-based analysis with business users asking questions in plain language, all on a shared context engine that grounds every AI-generated answer in the organization's actual data, metrics, and business rules. According to the company's About page, Hex supports over 2,000 customers globally, from leading AI labs to regulated banks.

What It Is

Hex positions itself as an "AI Analytics Platform where trust meets insight." At its core, it is a single connected workspace that replaces the fragmented combination of separate notebooks, BI tools, and ad-hoc data requests. The platform delivers three integrated capabilities: agentic notebooks for deep exploratory analysis, conversational self-serve (called Threads) so anyone can ask data questions in plain language, and interactive data apps for sharing governed insights. A shared context layer — called Context Studio — ties all three together, ensuring that whether an analyst writes Python or a business user types a question in Slack, the answer draws from the same semantic models, business rules, and endorsed data sources.

Core Product Components

• Agentic Notebooks: A code-first environment where an AI agent writes SQL and Python, builds charts, and chains complex multi-step analyses. Supports all standard cell types and connects directly to data warehouses.
• Threads (Conversational Self-Serve): A natural-language interface accessible inside Hex, via Slack, or through MCP, allowing non-technical users to ask questions and receive AI-generated analysis backed by governed context.
• Context Studio: A semantic model workbench where data teams define dimensions, metrics, and business rules in YAML-based semantic models. Includes agent observability dashboards showing conversation volume, warnings, and topic breakdowns.
• Data Apps: Interactive dashboards and reports built on top of real warehouse data, publishable with one click and embeddable for customer-facing use cases.
• Hex CLI: A terminal-based interface for controlling analytics workflows programmatically.

Integrations and Stack Compatibility

Hex connects natively to major data warehouses and lakehouses including Snowflake, BigQuery, and Databricks via OAuth pass-through. Database integrations include PostgreSQL, ClickHouse, MariaDB, Amazon Athena, MS SQL Server, MySQL, Trino, and Dremio. The platform has a deep dbt integration that automatically enriches schemas with dbt docs and metrics. Orchestration tools supported include Airflow, Dagster, and Prefect, allowing Hex projects to run inside existing DAGs. Git export to GitHub and GitLab provides an audit trail. A public REST API and Observability API enable custom integrations and programmatic access to agent conversation data.

Enterprise Architecture and Security

The enterprise tier is built around compliance and governance requirements. Hex holds SOC 2 Type II and HIPAA certifications and is GDPR-compliant. Deployment options include multi-tenant cloud (with separate HIPAA and EU stacks) and fully-managed single-tenant VPCs. Security features include OIDC SSO, SCIM directory sync from Okta, Active Directory, and Google, SSL and OAuth pass-through for database connections, audit logging, and role-based access control. The enterprise tier also adds an Observability API, custom Docker image add-ons, and dedicated Customer Engineer and Product Expert support.

Audience and Use Cases

Hex serves both technical and non-technical users within the same platform. Data teams use agentic notebooks for exploratory analysis, model building, and publishing governed data apps. Data leaders use Context Studio to curate semantic models and monitor AI agent behavior. Business users in product, marketing, sales, and customer success teams access self-serve answers through Threads without writing SQL or Python. The platform also supports embedded analytics for product teams shipping customer-facing data experiences.

Update: Generative Data Apps and Agentic Workflows

The Hex homepage highlights the recent introduction of Generative Data Apps — interactive dashboards and apps that can be built from a prompt on top of real, governed data. The changelog at learn.hex.tech tracks ongoing product movement. The platform's current direction is toward fully agentic analytics workflows, where the Notebook Agent, Threads Agent, and Semantic Model Agent each handle different layers of the analytics stack while sharing the same underlying context engine. The company also publishes an annual State of Data Teams report, with the 2026 edition listed as available.