Not just the answer.
The space to understand it.
Count lets you explore your data, uncover what's driving your business, and decide what to do next — all in one collaborative canvas.
Helping teams make decisions faster at
It shouldn't take five dashboards, two meetings, four DB queries and an argument with a chatbot to make a decision.
Dig deeper into your data with an interface built so you, your team and AI can work together.
Think with your data. Not just query it.
- Clean, model, analyze and visualize in one place.
- Use SQL, Python and charts side by side.
- Lay out your work, add context, and build a narrative as you go.
Sara Sabzikari, Product Growth Analytics @ PandaDoc
“The canvas isn't just a nice UI feature. You can actually think through a problem in the same place you explore data.”
Let AI do the work. Stay in control.
- Build step by step, or let Count's agent take it further, faster.
- Every query, transformation and chart is fully editable and auditable.
- Go deeper with an agent that can run hundreds of analyzes in minutes.
Christian Wright, Senior Data Engineer @ Loqbox
“Count enables me to build complex models and visualize them step by step. It gives everyone confidence and understanding how we got to the end dataset.”
Work together to reach decisions faster
- Collaborate in real time, right alongside your team.
- Review findings, challenge assumptions, and iterate together.
- Move from analysis to next steps - as a team.
Ruth Woodward, Analytics Manager @ Cleo
“It's no longer a mystery how and why an analyst made certain choices in their work; and the transparency of those choices allows us to improve.”
Turn analysis into stories people can act on
Create interactive reports, decks and dashboards that bring your work to life. Share with live data or as snapshots in a format your team can actually use.
Use any data. Get answers anywhere.
Connect to your existing stack or bring in raw data from your apps and database. Define reusable logic and access answers in Slack or wherever your team works.
Create a flywheel of better decisions
Bring your business and data teams together to identify bottlenecks and act on them. Find answers faster, align on what matters, and keep improving over time.
Chris Wallis, CEO @ Intruder
“I feel like I've been running blind for eight or nine years, not really knowing what's going on. And for the first time there's now a way where I can get the information that I need to answer questions I have”
Control and governance
All the features you'd expect to keep all your data in a better place
Role & group permissions
Detailed access controls including SSO & SCIM
Report scheduling & caching
Push reports into Slack and email and cache results
Usage telemetry
Event level tracking of all workspace usage
Version control
Full undo stack plus code version control via GitHub
Enterprise grade security
SOC2, HIPAA, GDPR certified
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See it differently in <2 mins
FAQs
Not exactly.
Most teams start using Count alongside their existing BI tool. Traditional BI is great for tracking metrics and sharing dashboards, but it’s not where people actually work with data. Count fills that gap - giving you a space to explore, analyze and think through problems.
Over time, teams use Count in different ways. Some move more of their reporting into Count, replacing static dashboards with something more flexible and collaborative. Others keep their BI tool for large-scale operational reporting, while using Count for deeper analysis and decision-making.
A lot of the messy, fragmented workflow teams rely on today.
SQL queries and notebooks for analysis. Slides for presenting. Spreadsheets for stitching things together. Slack threads for discussion. Count brings all of that into one place - so the work, the thinking, and the decisions stay connected.
Over time, many teams also reduce or replace parts of their BI stack. Instead of maintaining static dashboards, they use Count for more flexible, collaborative ways of understanding and improving the business.
Count’s agent is powered by leading models from Anthropic, OpenAI and Google.
It works with the context you provide (including your data, logic and previous analysis) and can run queries across the sources you’ve connected. This lets it explore questions, generate analyzes and go deeper, faster than a human alone.
Your data stays under your control. We don’t train models on it, and the agent will always ask permission before accessing external data sources.
Count runs queries in three places: directly on your data warehouse or connected sources, on Count’s servers, and in your browser. This flexible approach lets you combine data across sources while reducing the load on your warehouse.
For many teams, this also lowers costs. By shifting exploratory work out of the warehouse, some customers see significant reductions in compute spend.
Count’s infrastructure is hosted in the US and EU, and you can choose where your data is processed.
Yes.
Count is built with security and compliance at its core. We are SOC 2 compliant and adhere to GDPR requirements, with support for HIPAA where needed.
We apply industry-standard practices across data access, encryption and infrastructure to ensure your data is protected at every step.
For full details, visit our Trust Center at trust.count.co.