Count AI
AI data analytics canvas
Count is a collaborative agentic analytics platform that combines SQL, Python, and visual data exploration in a single canvas. With its AI Agent, Count enables teams to analyze data, write queries, create visualizations, and build dashboards using natural language, making data analysis accessible to both technical and non-technical users.
Key Capabilities
Count features a unique canvas-based interface where humans and AI agents collaborate on data analysis. The Count Agent can write SQL and Python, create visualizations, and chain multiple operations together from simple natural language prompts. The platform connects to major data warehouses including BigQuery, Snowflake, Databricks, PostgreSQL, MySQL, and DuckDB, and supports local files and Python for in-memory analysis. A governance layer gives data teams control over agent usage across the organization.
Who Should Use Count AI
Count is designed for data teams, analysts, and business users who want a more collaborative and flexible approach to data analysis than traditional BI tools offer. It is particularly well-suited for teams that combine SQL-savvy analysts with less technical stakeholders who benefit from AI-assisted exploration.
Getting Started
Sign up for a free account at count.co and connect your data warehouse. The canvas interface lets you immediately start exploring data by writing SQL, using Python, or asking the AI Agent questions in natural language. The agent understands your data schema and can build complete analyses from scratch.
Pricing & Accessibility: Count offers a free tier with core features. The AI Agent is currently included under fair-usage across all account tiers. Paid plans provide additional collaboration features, workspace management, and governance controls. Contact Count for detailed pricing on Pro and Enterprise plans.
Why Consider Count AI: Count uniquely combines a flexible canvas interface with an AI agent that can handle complex multi-step analyses, offering a genuinely collaborative approach to analytics that goes beyond simple natural language querying.
Pros
- Unique canvas-based interface enables flexible data exploration
- AI Agent chains multiple operations for complex analyses
- Supports SQL, Python, and visual exploration in one platform
- Connects to all major data warehouses
- Strong governance controls for enterprise data teams
Cons
- Relatively newer platform with a smaller community compared to established BI tools
- Pricing details for paid tiers are not fully transparent
- Learning curve for users unfamiliar with canvas-style interfaces
Who is this for?
Exploratory data analysis, collaborative team analytics, AI-assisted SQL and Python querying, building dashboards and visualizations, cross-database data exploration
Frequently Asked Questions about Count AI
What data sources does Count support?
Count connects to BigQuery, Snowflake, Databricks, PostgreSQL, MySQL, DuckDB, and more. You can also use local files and Python for in-memory analysis directly within the canvas.
Do I need to know SQL to use Count?
No, the Count AI Agent can write SQL and Python on your behalf from natural language prompts. However, technical users can also write and edit SQL directly in the canvas for more control.
Is the AI Agent included in the free plan?
Yes, Count currently includes the AI Agent under fair-usage in all account tiers, including the free plan. Specific pricing for AI usage may be introduced in the future.
Pricing
freemium
Custom pricing
Free tier: Core features with fair-usage AI Agent access
Details
APIYes
Open SourceNo
CollaborationYes
LanguagesEnglish
Learning CurveModerate
Integrations
BigQuerySnowflakeDatabricksPostgreSQLMySQL+1 more
