Count is an AI-powered analytics canvas for building live reports, dashboards, and research whose results can be checked. Its positioning is summed up in its tagline, “Don’t trust AI. Check it”: analyses are produced on a collaborative canvas where the methodology is captured alongside the results, so every number in a report can be traced and stress-tested before it reaches a boardroom or stakeholder deck.
Count works directly on live data sources with native database connections, a semantic layer, MCP connections, and Python support, combining elements of BI tools, AI chatbots, and AI workspaces in one product. Its AI agent can re-run analyses on fresh data — for example, repeating a churn analysis on the current quarter — and stress-test the assumptions behind the findings, while hallucination detection is built in to flag claims that do not hold up. Count also routes each step of an analysis to an appropriate model, balancing cost and performance so teams can go deep without usage anxiety; the company says 98% of teams never hit a usage limit. Beyond dashboards, use cases include exploratory analysis and customer or market research, turning sales-call transcripts, surveys, and documents into findings where every fact is verified and traceable.
Count is Freemium, with a free way to get started and paid plans that expand usage and team features; the company emphasizes that paid usage is effectively uncapped for the vast majority of teams. See the Count website for current plan details.
Count is for data teams, analysts, and business stakeholders who want AI-generated dashboards and research they can defend — especially teams producing board decks and recurring reports where every claim needs to hold up to scrutiny.