Charts got fast. Decisions need to get faster.
Count is the analytics platform for companies that refuse to be slowed down by “modern” BI.
Traditional BI tools run every query directly on the data warehouse. When agents start running 15+ queries per second compared to a human's 0.1, the warehouse gets overwhelmed with a query pattern it wasn't designed for. Work slows down. Costs go up. Decisions go nowhere.
Solution
A compute layer that accelerates agents data access at scale and speed to power accurate and timely insight
As customers switch their analytics and reporting workloads from their BI tool to Count they see a reduction in their data warehouse costs. Even customers without any agent usage can save up to 80% of their compute cost by switching to Count.
Faster, cheaper, bigger. Pick three
By shifting query load to the browser and Count's servers, filtering and visualisation refining remains snappy and agents can fire hundreds of queries to get to better answers. The compute layer makes agentic analytic work, and makes their work more vauable to human analysts after.
The real modern data stack
Count's compute layer sits between your data warehouse and your users, providing fast, cost-effective access to your data. It enables the collaborative canvas to serve decision-scale data to users and agents for realtime work, all the while respecting and enforcing data governance.
The compute layer even customers to make a net saving not just mitigate costs
Unlimited compute for the Count AI agent
Unparalleled agentic accuracy by erm...giving it all the data it needs to be sure.
Coming soonOne semantic model to accelerate them all
Easily import your current semantic layer definition into Count Metrics.
Coming soonMCP and API servers
Build data applications on-top of Count's compute layer.