Built by an operator.
Not a consultant.
Abdul Datarwala scaled an industrial distribution business from $7M to $85M+. He watched margin leak through every gap. He built Quanzar because the tool he needed didn't exist.
How Quanzar came to exist.
Abdul started in industrial distribution operations, learning the floor, the quotes, the customers, and the gaps. He understood what it meant to run a business where every job had to pay its own way.
Over 18 years, Abdul grew the operation dramatically: more customers, more jobs, more reps, more SKUs. The business scaled, but the visibility into margin didn't. Every month was a discovery exercise.
At $85M, margin leakage isn't a percentage problem, it's a multi-million dollar problem. Customers drifting below target, reports showing damage weeks too late. The ERP tracked it, but nobody flagged it in time.
Abdul started Quanzar to build the margin intelligence system he needed as an operator: one that connected ERP, CRM, and finance in real time, surfacing leakage while jobs were still open.
I ran an $85M distribution operation. I knew margin was slipping. I could feel it in the numbers every month. But I couldn't see it in real time, not until it was already gone. I built Quanzar because that tool didn't exist and I needed it badly.
Most software companies building for manufacturers were founded by engineers or ex-consultants who studied the problem. Abdul lived it. That's not a marketing line, it shapes every product decision, diagnostic call, and pilot.
When a VP of Operations says "we find out margin slipped six weeks after the job closed," Abdul doesn't just nod. He says, "I know exactly how that feels, and here are the three places it's usually coming from."
Our competitors toured a factory. Abdul ran one.
Three principles that shape every decision we make.
These aren't values on a poster. They're the operating principles that came from 18 years of running an operation before building software for it.
Every feature we build is validated against a simple question: "Would this have helped when Abdul was running an $85M operation?" If the answer is no, we don't build it. Manufacturing needs the right dashboards, not more of them.
We don't charge for strategy. We charge for outcomes. Every pilot ends with a concrete number: dollars recovered, margin restored, jobs caught before they bled. If we can't measure it, we haven't fixed it.
AI on top of chaos is still chaos. Before we add intelligence, we make sure the data is clean, the systems are connected, and the rules are clear. That's the order of operations for success.
Our competitors toured a factory.
Abdul ran one.
In the current wave of manufacturing AI startups, most founders bring engineering credentials or accelerator experience. They are smart people solving a problem they learned about from case studies.
Abdul spent 18 years solving it from the inside. He knows what it feels like when a customer quietly drifts 8 points below target and you don't catch it until Q4. He knows exactly where P21 and NetSuite reports lie by omission.
That's not a differentiator we manufactured for a pitch deck. It's the reason Quanzar exists.
Technology Infrastructure
The enterprise stack that powers every Quanzar product securely.
Make manufacturing more profitable. Not just faster.
The AI wave is focused on speed: faster quotes, faster workflows. But a manufacturer who quotes 3x faster and still prices jobs wrong hasn't solved the core margin problem.
We focus purely on P&L impact. The dollars that show up (or don't) at month-end.
Every system lives natively in your environment. Absolute zero vendor lock-in.
Ready to talk to someone who's been there?
Book a 30-minute call with Abdul directly. No sales team, no discovery form. A conversation with the person who built Quanzar and knows your problem from the inside.