Count

Product overview

Count is a collaborative analytics platform based in London that replaces traditional dashboards with interactive canvases where teams can combine SQL queries, Python code, and visual explorations on a single workspace. Data analysts, data engineers, and business stakeholders use it to investigate questions together in real time, building analyses that stay connected to live data rather than becoming static reports. The platform connects to data warehouses (Snowflake, BigQuery, Redshift, Databricks, PostgreSQL) and uses DuckDB to offload approximately 80% of queries from the source database, reducing compute costs. Count includes a semantic layer (Count Metrics) for defining reusable metric definitions, an AI agent that responds to natural-language questions, scheduled alerts, and embedding capabilities. Canvases can be shared, commented on, and versioned. Founded in 2016 by Cambridge University graduates, Count has attracted customers including Bumble, Accenture, Too Good to Go, and Cleo. The company has raised approximately $19 million from investors including MMC Ventures and Global Founders Capital. Count is SOC2, GDPR, and HIPAA certified. Pricing starts with a free plan (3 editors, CSV data only), and the first paid tier (Pro) costs $49 per editor per month with database connections and unlimited canvases. KEY FEATURES: - Interactive canvas combining SQL, Python, and visual exploration - Semantic layer (Count Metrics) for consistent metric definitions - AI agent for natural-language data queries - DuckDB integration to reduce data warehouse compute costs - Real-time collaboration with versioning and embedding

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