FOR DATA LEADERS
Unlock the speed of AI analytics
Without losing sight of a single question, answer, or cost
Say goodbye to your queue of tickets
Self-serve analytics that actually sticks
Your stakeholders want an answer in whatever window they already have open. They can ask in Slack, inside a published app, or through Claude, ChatGPT, and any MCP-connected system.
"Every employee gets answers via @Hex in Slack under their own permissions”
Brandon Rochon VP of Data & Analytics at Neo Financial
Stop answering the same question for the fourth time
A good answer can be reusable forever
Every conversation in Hex is a project that you can open, check, and turning into a reusable, governed artifact. Endorse you top loved apps so that their logic joins your context, so the next question starts from work you've vetted.
"Product managers and data scientists now co-create inside the same Hex notebook — sketching ideas, refining metrics, and seeing results in real time.”
Ian Macomber Head of Data and Analytics Engineering at Ramp
Context is not a constant
Make sure your context keeps pace with the business
Hex monitors it’s own answers and provides Suggestions for fixes that would help improve answers the most. Then check the agents work by running Evals to test context and configuration changes.
What is AI already telling your stakeholders about your data?
Govern every question, answer, and dollar spent
In Hex you can see the question, the answer, which model it used, which tables it used and which metric definitions. When an answer comes back wrong or out of budget, you can trace it back to the root cause and make sure the same mistake doesn’t happen twice.
"Hex is where we go to understand the deep nuances of what's happening — and then act on them before anyone else sees it coming.”
Joshua Hanson Data Team Manager at Clay
Govern every question, answer, and dollar spent
Give every team answers, and keep trust at the center.
Common questions
Snowflake, BigQuery, Databricks, Redshift, Postgres, and more, plus dbt and semantic layer integrations so your models stay the source of truth.
No. Many teams start with SQL and no-code cells, then layer in Python as their needs grow. Business users typically only interact with published apps.
SOC 2 Type II, SSO and SCIM, granular workspace and project permissions, and audit logs. Single-tenant and bring-your-own-cloud deployments are available.
Most teams connect a warehouse and publish their first app on day one. There is no infrastructure to provision.
Can't find your answer here? Get in touch.