AI for product teams
Self-serve the analysis you'd wait two weeks for.
Explore product data and present a crisp retention or experiment story in one canvas.

Supporting faster decisions at data-led companies
Why Count
Where you, your team and your agents dig in together.
Count is a collaborative canvas for deep research and analytics, where teams work with AI agents to dig into their business and turn what they find into decisions everyone trusts.
Why teams switch to Count
Go deeper than a chatbot
Multiple agents chase a question across SQL, Python, the web and your connected tools, blending quantitative data with the transcripts, docs and notes around it.
See how every answer was reached
No black box. Watch the agent write each query and follow its reasoning, then edit or branch from any point.
One place the team thinks together
A shared, real-time canvas where people and agents build side by side, so everyone reaches the same conclusion instead of a different answer each.
Answers that stay live and shareable
Turn any investigation into reports and metric trees that refresh on a schedule and stay traceable to the query behind them.
Features
See the difference
Go from question to chart in one canvas, across SQL, Python and drag-and-drop visuals. Blend cohort retention and feature adoption with user research and support tickets to see why a launch moved. Self-serve the answer instead of queuing with the data team.
Move from analysis to a shareable story in the same space, so it survives past one person's laptop. Reports and slides stay live as the data updates, and bring engineering, design and the business along. They can see the working and buy in.
Concurrent sub-agents and web research surface what a quick cut would miss. The agent writes and runs the queries and builds editable cells and charts as it goes. You get depth fast, without shipping something wrong.
Tutorials
Watch Count in practice
Tutorials, use cases, and agent best practices — for your viewing pleasure.
Integrations
Bring in any data and share answers anywhere
Connect your warehouse, semantic layer, spreadsheets and business apps via MCP. Everything explorable in one place, with answers flowing back out to Slack, reports and your other AI tools.
Data sources
Warehouses, semantic layers, business apps and files, side by side on one canvas.
Context management
Models, metrics and business logic stay version-controlled and consistent.
Outputs
Answers land where the team already works — not trapped in a canvas.
See what your team can uncover together
Connect a source and get your first answer in minutes. No credit card required.
