Ask anything. See the answer.
Most of your questions and decisions never see data. We change that.
14-day trial or just plain free tier. No credit card needed, and no pushy sales calls.
Your data stays yours: SOC 2, GDPR, Nothing used for model training.
Count is the AI and BI analysis canvas that stops decision paralysis at
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“My colleague said it's the best AI tool he's used and even my most AI-cynical colleague is, like 'this is cool'”
The questions that matter most never get asked at all.
Too small to justify a request.
Too specific for an existing dashboard.
Too uncertain to bother someone about.
The next era of analytics isn't about better dashboards or faster analysis. It's about fewer questions left unasked.
Databases
- BigQuery
- Athena
- Snowflake
- ClickHouse
- MotherDuck
- MySQL
- MSSQL
- PostgreSQL
- Azure Synapse
- Databricks
- Redshift
Semantic layers
- Count Metrics
- OSI
- LookML
- dbt
- Snowflake Cortex
- Cube
MCP
- Linear
- HubSpot
- Salesforce
- Ahrefs
- Zendesk
- Google Ads
- Stripe
and basically everything else these days
Chatbots
They give you a number and a paragraph. Count gives you a full analysis you can see, edit, and share. Every query visible. Every step auditable.
Dashboards
They answer the questions someone thought to ask six months ago. Count answers the question you have right now.
Spreadsheet Alchemy
It works until someone asks where the number came from. Count gives you live data in every format with governance, collaboration, and a trail your team can trust.
Work alongside AI agents on a shared canvas. Combine the power of AI with human expertise to explore data, build analyses, and solve problems together in real-time.
Fast, cost-effective data access at scale. Our intelligent compute layer optimizes every query, leting agents write and process more queries faster than any human could without sacrificing accuracy or ballooning costs.
Enterprise-grade governance without the complexity. Define guardrails, context, permissions and access, all the while maintaining full visibility over how AI interacts with your data.
That little ding sound
Send alerts, reports and entire canvases to Slack and email
Count Metrics
Our semantic layer for governed, performant metrics, and drag-and-drop analysis
Ask before you touch
Fine-grain or group-wide permissions
Use more pay less
Query, canvas, and semantic layer caching
Fine
You can make gridded-dashboards if you really want
Count is a collaborative analytics canvas that combines SQL, Python, and visual exploration in one place. It connects to your data warehouse and lets teams explore data together.
The AI agent can analyze your data, write queries, create visualizations, and edit your canvas — all from a simple natural language prompt. It understands your data schema and can chain multiple operations together.
Count connects to BigQuery, Snowflake, Databricks, PostgreSQL, MySQL, DuckDB, and more. You can also use local files and Python for in-memory analysis.
Yes! Count is built for collaboration. Multiple users can work on the same canvas simultaneously, share insights, and present findings — all within the same tool.