Speed is a feature
A slow answer is a missed decision. We obsess over latency so curiosity never has to wait.
Our story
Built by people tired of waiting on the data team
Pulsety was founded in 2019 by a group of product managers, engineers, and data scientists who kept hitting the same wall. Every meaningful product question turned into a ticket, a queue, and a week of waiting — and by the time the answer arrived, the moment had passed.
So we built the tool we wished we'd had: fast enough to keep up with a brainstorm, simple enough for a PM to use without SQL, and rigorous enough that the data team could trust the numbers. What began as an internal prototype now powers analytics for thousands of teams worldwide.
We're still guided by the founders' rule — if a feature doesn't help someone make a better decision faster, it doesn't ship.
Mission & values
Make product data usable by everyone
Our mission is to put trustworthy answers in the hands of the people building the product. These values keep us honest while we do it.
Clarity over cleverness
We'd rather one obvious chart than ten impressive ones. The best insight is the one people actually use.
Trust the numbers
Data is only useful if it's right. We validate at ingest so no decision rests on a broken event.
Built for teams
Insight shouldn't live in one person's head. Everything we make is designed to be shared.
Privacy by default
We treat customer data like it's our own — encrypted, governed, and never sold. Ever.
Customers shape the roadmap
The best ideas come from teams in the trenches. We ship in the open and listen relentlessly.
A few numbers we're proud of
2019Year founded
96People worldwide
4,200+Teams onboard
38Countries served
Leadership
Meet the team behind Pulsety
Operators and builders who've felt the pain of bad analytics firsthand — and decided to fix it.
Maya Robinson
Co-founder & CEO
Ex-product lead. Built analytics teams at two unicorns before Pulsety.
Leo Chen
Co-founder & CTO
Distributed systems engineer obsessed with sub-50ms queries.
Sofia Okafor
VP of Product
Turns thorny data problems into interfaces anyone can use.
Jonas Weber
Head of Data Science
Built the anomaly engine that powers Pulsety's smart alerts.
How we work
We use Pulsety to build Pulsety
Every product decision we make is tested against our own data. We dogfood the platform daily, which keeps us honest about what's actually useful and what just looks good in a demo.
Start with the question
We never build a feature without a real decision it's meant to unblock.
Ship small, ship often
Weekly releases mean feedback turns into improvements in days, not quarters.
Let the data decide
When opinions clash, we look at the numbers — and so should you.
Want to build with clearer data?
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