Overview
Count is a revolutionary Business Intelligence (BI) platform that shifts data analysis from static dashboards to an infinite, spatial canvas. Built on a high-performance hybrid engine, Count allows data teams to write SQL and Python directly within a collaborative whiteboard environment. By 2026, Count has positioned itself as the industry leader in 'spatial analytics,' enabling real-time data modeling and visualization that mirrors the workflow of modern design tools like Figma or Miro. Its technical architecture supports deep integration with modern data stacks, specifically Snowflake, BigQuery, and Databricks, through a live-query execution model that ensures data remains in the warehouse while the canvas serves as a lightweight orchestration layer. The inclusion of 'Count AI' provides a sophisticated LLM-driven layer that interprets natural language into optimized SQL dialects, allowing non-technical stakeholders to interact with complex schemas without manual query writing. This approach solves the 'dashboard death' problem by providing context, documentation, and logic alongside visual outputs, making it the preferred choice for organizations requiring high-transparency exploratory data analysis (EDA) and collaborative root-cause investigation.