Collaborative Canvas & Agent Experience
The canvas is Count's collaborative workspace—a flexible interface where you can explore data, build analyses, and work with your team in real-time. Think of it as a whiteboard that understands data.
Why the canvas matters
The problem: Traditional BI tools give you rigid dashboards. Notebooks are single-player. Neither makes it easy for teams to collaborate on analysis or for non-technical people to explore data safely.
The solution: A flexible canvas where you can combine SQL, Python, visualizations, and explanations in one place. Work together in real-time, with optional AI assistance when you need it.
Key capabilities
Flexible content types:
- SQL and Python cells for querying and analysis
- Visualizations and charts
- Text, sticky notes, and annotations
- Screenshots, comments, and drawings
- Mix technical and non-technical content
Real-time collaboration:
- Co-editing like Google Docs
- @mentions and comments
- Review requests
- Version history
Count AI:
- An AI agent you can work with when you need help
- Runs multiple queries per question to dig deep
- Every query visible and editable—full transparency
- Context-aware based on your data and workspace
- Disabled by default—enable when ready
Built for outcomes:
- Exploratory analysis
- Dashboards and reports
- Root cause analysis
- Data models
- Present mode for polished sharing
How it works
For data teams: Build analyses with SQL and Python, document your thinking, collaborate with stakeholders, optionally use the AI agent to accelerate your work.
For business users: Explore data without writing code, ask the AI agent questions in plain language, review analysis with full context and explanation.
For everyone: The canvas provides transparency—you can see how analysis was done, edit it, comment on it, and build on it together.
Learn more
Getting started
- Canvas basics - Cells, layouts, collaboration
- Cell types reference - SQL, Python, charts, inputs
- Present mode - Share polished reports
Working with Count AI
- About Count's AI Agent - When and how to use the agent
- Usage guide - Enabling and configuring
- FAQs - Getting good results
Advanced features
- dbt integration - Reference models in-canvas
- Control cells - Dynamic, interactive analyses
- Version control - Canvas history and restore