
Trint
AI-powered transcription software for converting audio and video to text.

The collaborative data canvas for technical analysis and business decisions.

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.
Count is a revolutionary Business Intelligence (BI) platform that shifts data analysis from static dashboards to an infinite, spatial canvas.
Explore all tools that specialize in visual data modeling. This domain focus ensures Count delivers optimized results for this specific requirement.
A spatial interface that allows users to map out logic flows alongside visualizations, supporting millions of data points rendered via WebGL.
Context-aware LLM that understands your specific warehouse schema and dbt documentation to write accurate SQL.
Syncs directly with dbt projects to pull in metric definitions and documentation onto the canvas.
Allows passing dataframes seamlessly between SQL cells and Python environments for advanced statistical analysis.
Executes logic directly in the data warehouse; only result sets are transferred to the browser.
Drag-and-drop link building between query blocks that automatically generates the JOIN syntax.
CRDT-based synchronization allowing dozens of users to edit queries and move objects simultaneously without conflict.
Create a workspace and verify your organizational domain.
Connect your cloud data warehouse (Snowflake, BigQuery, Redshift, etc.) via secure credentials or OAuth.
Define workspace permissions and invite collaborative editors and viewers.
Initialize a new canvas and use the 'Search' function to browse your database schema.
Drag and drop tables onto the canvas to automatically generate base SELECT * queries.
Write SQL or Python in individual cells to transform and join disparate data sources.
Utilize the 'Auto-Join' feature to visualize relationships between tables spatially.
Apply 'Count AI' to generate complex window functions or aggregations from natural language prompts.
Design interactive visuals (charts, tables, KPIs) directly from query outputs.
Set up scheduled data refreshes and automated Slack/Email report deliveries.
All Set
Ready to go
Verified feedback from other users.
"Users praise the platform for its flexibility and the 'canvas' metaphor which replaces rigid dashboards, though some mention a learning curve for those used to legacy BI."
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