Your next BI tool isn't a BI tool
With Hex, anyone can self-serve trusted answers and build beautiful dashboards, all in plain language. It's business intelligence the way it was supposed to be.
Time to look at BI,differently
Legacy BI tools leave you with endless dashboards and self-serve that never scales. Hex is an AI analytics platform delivering on the promise of BI, so everyone can finally get answers from data.
Self-serve BI, but it actually works
Anyone can ask questions and explore data in plain language, without learning complex drag-and-drop UIs or waiting on the data team.
"Hex’s agent increased data access for everyone at LangChain, while giving us the confidence that users were getting accurate answers with trusted data."
NexaCorp revenue trends by product line
Here's what I found in the "nexacorp_sales" tables (powered by the Galactic Sales semantic model):
- Teleportation pads — $42.3M
- Quantum drives — $38.7M
- Wormhole initiators — $33.1M
- Dark matter lasers — $28.6M
- Temporal stabilizers — $21.8M
- Anti-gravity generators — $11.2M
Let me create a grouped bar chart so you can compare regions within each product line:
Want self-serve BI that actually sticks?
Learn why 2,000+ teams approach BI differently with Hex. Get in touch for a custom demo of Hex BI or start a free trial to see it for yourself.
FAQ
Yes. Most companies today use Hex as a BI platform for building dashboards and enabling self-serve answers with AI. Unlike legacy BI tools, people can ask questions and explore data in plain language, with answers grounded in trusted business context. What makes Hex different is that people can explore and build right away, without first learning a complicated BI tool.
Yes. Hex is built for teams that want people to work with data through AI without giving up trust and governance. Teams can ask questions in tools like Claude or Cursor, build dashboards with AI, and keep every answer anchored in the same business context.
Yes. Threads lets anyone ask questions in plain language, explore follow-ups, and get trusted answers without writing SQL or learning a complicated drag-and-drop interface.
Context Studio is Hex’s governance layer for AI agents. Data teams can ground answers in trusted context from semantic models, endorsements, and guides, audit how each answer was produced, and automate context improvements as gaps emerge.
Yes. Hex can build semantic models natively or sync existing models from dbt MetricFlow, Snowflake Semantic Views, and Cube. That lets teams reuse the metrics and business logic they already trust instead of rebuilding context from scratch.
Traditional BI tools still rely on dashboards, point-and-click interfaces, and predefined workflows for self-serve. Even with AI features, many still force users to learn and navigate complicated workflows just to explore and build with data. Hex takes a different approach. People can ask questions, explore data, and build dashboards in plain language. AI is native to every workflow, so anyone can get answers from data, all grounded in the same trusted context and governance.
Hex can be a strong fit for small teams that want self-serve analytics, dashboards, and AI in one platform without locking themselves into a rigid stack. Hex works with the tools and context you already use, so teams can start small, stay flexible, and expand without rebuilding everything later.
By grounding the agent in trusted data, business logic, and definitions, and making every answer transparent and easy to verify. In Hex, users can inspect the analysis behind a response, while data teams can automate context improvements to improve answer quality over time.
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