A new era of business intelligence has arrived
With Hex, self-serve trusted answers and build dashboards in plain language. It's BI the way it was meant to be.
Behind the teams setting the standard
Time to look at BI,differently
Legacy BI promised self-serve but gave us endless dashboards. Hex is an AI analytics platform delivering answers to everyone.
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:
Pixel-perfect dashboards, from a prompt
Turn insights into polished, customizable dashboards in just seconds. No more tinkering around with preset charts and layout controls.
"Now our team members can build reports themselves, which is faster than waiting for someone else to do it. This definitely would not have been possible without Hex."




Trust and govern every answer
Skip the months of upfront modeling. Ground agents in logic you already have, audit every answer, and automate improvements over time.
"I love Hex's Context Studio. I didn’t know how many people were using agents or what questions they were asking, now I'm able to proactively manage how people use our data."
| DATE | AGENT | PROMPT | TOPIC | WARNINGS | SOURCE | USER | ROLE |
|---|---|---|---|---|---|---|---|
| 44 min ago | Notebook | How did revenue change across the Outer Rim compared to last quarter? | Revenue by Product Line | Hex | Luc Patton | Admin | |
| 1 hr ago | Threads | Which product lines saw the strongest Research-sector demand? | Sales Breakdown | User doubt | Slack | Eels Gulsen | Editor |
| 2 hrs ago | Modeling | Help me define measures and dimensions for the Core Worlds semantic model. | Sector Analysis | MCP | Andrei Leesom | Explorer | |
| 3 hrs ago | Threads | Give me a breakdown of negative customer feedback in the Outer Rim this month. | Sector Revenue | Missing context | CLI | Andrei Leesom | Explorer |
| 3 hrs ago | Threads | What are this quarter's top customer pain points in the Outer Rim? | Quarterly Trends | Hex | Andrei Leesom | Explorer |
Bring BI to where people work
People already ask data questions in Slack, Claude, and ChatGPT. Ground those answers in the same trusted context and governance, without forcing everyone into a BI tool.
"Through the Slack integration, I can ask Hex questions from my phone at the playground. Questions that would have gone unasked now get immediate answers."
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:
Get me NexaCorp’s Q3 sales by product line
NexaCorp Q3 sales by product line
Here’s what I found in the “nexacorp_sales” tables:
- Teleportation field extenders — $42.3M
- Quantum drives — $38.7M
- Wormhole initiators — $33.1M
Rethink your BI approach with Hex
Built for every data user
Business users can explore data and build dashboards without code, while technical users can drop into SQL or Python for deeper analysis.
Migrate without the rebuild
Agents automatically migrate Tableau and Looker dashboards into Hex, with inspectable SQL and logic behind every asset.
Point-and-click, when you need it
Explore, pivot, filter, and visualize data with familiar no-code workflows like drag-and-drop and spreadsheet-style analysis.
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.
Can't find your answer here? Get in touch.
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.


