Datalyze was started by operators who'd spent years watching companies pour money into analytics tools that produced charts nobody trusted. We don't sell dashboards. We sell foundations that turn data into decisions — and decisions into revenue.
I started my analytics career at CRED. That's where I learned what good analytics actually looks like — the discipline of it, the craft of it, the difference between a chart that's technically correct and a chart someone can make a decision on.
After that, I started freelancing. One startup at a time, helping founders set up their analytics from scratch, unblocking their data teams, surfacing the insights that had been buried under broken tracking. By engagement 30 or 40, I started seeing the same thing at every company I walked into.
A company would have three analytics tools, four dashboards, and zero confidence in any of the numbers. Marketing would report one figure, product would report another, finance a third. Every important decision would come down to a debate about whose data was right — and the actual question, the one that mattered, never got answered.
The strange part was that most of these companies had already paid for the fix. They had the tools. They had the warehouse. Some of them had even hired full-time analysts. But the foundation underneath all of it — the events, the pipelines, the definitions, the models — was quietly broken in ways nobody had time to find.
The industry's answer was usually to sell them another tool, another dashboard, another report. I thought that was backwards. The problem was never the tools. It was the foundation.
For a long time, I fixed this one startup at a time as a freelancer. But freelance work has a ceiling — I could only be in one codebase, one problem, one company at a time. And the pattern I kept seeing was too common to keep fixing one founder at a time.
So in 2025, I started Datalyze. Same bet, bigger team: fix the foundation first, then turn it into the kind of insights that actually move revenue. No account managers. No junior analysts learning on the client's budget. Just senior operators who'd done this enough times to know where to look first.
We measure the revenue impact of every change we ship. Across the engagements we've run so far, we've helped companies grow revenue by 14% on average. Not because we're magicians. Because we start by fixing what nobody else wants to touch.
If your data has been telling you three different stories, we'd like to help.
Every engagement is built on these. When something goes wrong, it's usually because one of them got skipped.
Most analytics engagements start by building reports on top of broken data. We start by fixing the data — instrumentation, pipelines, definitions, models — because every dashboard built on bad inputs is a dashboard that lies to you. By the time we get to reporting, the numbers actually mean something.
Every fix, every recommendation, every experiment gets tracked against revenue impact. That’s how the 14% average across 150+ engagements gets earned, engagement by engagement. If something doesn’t move the number, we tell you and try a different approach. We don’t hide behind "deliverables."
You don’t get an account manager who routes messages to a junior analyst. You get the people who are actually in your data every day, fixing the problems and finding the answers. We’ve kept the team small on purpose. Growth would mean hiring people who’ve done this less — and that’s a tradeoff we’re not interested in making.
When we find something outside the original scope that’s costing you revenue, we fix it. You hired us to make your data work — that’s what we do, even when it means doing more than the contract says. Most agencies hand you a change order. We hand you a fix.
Small team. Senior operators only. Every person here has built analytics foundations for dozens of companies before joining Datalyze.
Built analytics infrastructure for 90+ startups before founding Datalyze in 2025. Specializes in product analytics, experimentation, and the messy first 90 days of fixing a broken stack. Mixpanel Certified. Based in India.
Leads growth and experimentation engagements. Specializes in turning trustworthy data into the experiments that compound — pricing tests, onboarding flows, conversion paths.
Book a 30-minute call. We'll look at your stack, find the gaps, and tell you exactly what we'd fix first. No pitch deck, no follow-up unless you ask for one.
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