The only AI agent you can trust with your data.
The data teams that stopped being a ticket queue.
Ask questions where you already work.
The question usually lands in Slack or on a dashboard. The answer should land there too.
In the dashboard
In Slack and Teams
Tag your agent in a channel or thread and get an answer back where the conversation is happening.
Embedded in your product
Speed you can trust
Governed context layer
Every dashboard runs on your semantic layer where metrics are defined once, in code.
Verified content
Mark charts and dashboards as verified, so teams know which numbers to trust.
Locked down
Permissions follow every viewer, and your data never leaves the controlled environment to get an answer.
"Lightdash helped us scale self-serve. It’s easy for business users to use and get answers by dragging dimensions, adding filters, and drilling into data."
Abdelmounim Boufous
Senior Data Analyst @ Stake
90%
of employees using Lightdash
100%
dashboards migrated
80%
fewer ad-hoc data requests
For any other questions, reach out to our team.
Can non-technical business users explore dashboards without SQL?
Yes. Business users don't need to know SQL to explore in Lightdash: click to cross-filter, drill into a metric, view the data behind a chart, or change the date range. For anything beyond that, business users ask the embedded AI agent in plain English and get a governed answer in the same dashboard, no SQL required.
Can I embed Lightdash dashboards in my own product?
Yes. Embed governed dashboards into your own product or customer portal with iframe embedding or the React SDK. The permissions you've set follow every viewer, so each customer sees only their own data.
Are Lightdash dashboards version-controlled?
Yes. Lightdash manages charts and dashboards as code, so every change is tracked and reviewable in Git, and a bad change is one revert away. That makes it safe to give more people edit access, because anything that breaks can be rolled back.
Do I need dbt to use Lightdash?
dbt is the most common setup, and Lightdash builds its semantic layer inside your dbt project. You can also define the semantic layer in Lightdash YAML against your warehouse without dbt. Either way, every dashboard runs on governed metrics defined once, in code.
How do I know which dashboards and numbers to trust?
Every dashboard runs on your semantic layer, so metrics trace back to a single definition in code. Your data team can mark charts and dashboards as verified, so everyone can tell an official, approved number from a quick one-off exploration.
I have an infrequently asked question.
Great! We're always around to help. You can chat to us through the live chat on this webpage, or talk to us in our Slack community.
