Count - The platform for deep data exploration

# Count - The platform for deep data exploration > Count is an agentic analytics platform built for deep data exploration. Give its AI agent your data and a question, and it runs thousands of queries, produces hundreds of charts, and flags data quality issues — exploring your data further than any human could by hand, with every step auditable on an infinite canvas. The same canvas, compute layer, and agent power collaborative analytics, so teams build dashboards, reports, and data models together. Website: https://count.co ## Product Core product pages: - [Agentic analytics](https://count.co/product/agentic-analytics) What agentic analytics is - using an AI agent as the primary interface to your data, so it does the analysis, not just the query - and why Count's auditable canvas, agent-speed compute layer and open context layer are built for it. - [Count for data teams](https://count.co/product/data-teams) A collaborative workspace for data teams to investigate, model and explain the business, not just serve dashboards. - [Count for growth teams](https://count.co/product/growth) A shared space for data-driven teams to work through complex questions and reach decisions faster - without Jira tickets. - [Count for leaders](https://count.co/product/leaders) Ask AI anything about your business, work through the findings as a team and make decisions faster. - [Audit AI with Count](https://count.co/try/fight-hallucinations) Turn any AI output into an auditable, share […truncated]