We're building predictive data reliability

Data breaks. Teams scramble. Trust disappears.

We met a data engineer who spent 10+ hours every week manually reconciling millions in incentive data. Not because they wanted to. Because the pipeline kept failing and there was no other way to keep the business running.

They weren't alone. Across companies we talked to, data teams were spending more time fixing what broke than building what mattered. Broken pipelines. Missing lineage. No clear way to trace where things went wrong. Just endless firefighting and eroding trust.

That frustration became our mission.

We're making pipelines reliable before they break

Datawise is built on a simple idea: you shouldn't find out your data is broken when your dashboard goes blank or your CEO asks why the numbers don't add up.

We use AI to learn how your pipelines behave, what normal looks like, and what patterns signal trouble ahead. When something's about to break or has already broken, we don't just send an alert. We show you what changed, trace the impact downstream, and help you understand what fixing it will actually cost.

No more guessing. No more digging through logs for hours. No more surprise failures that cascade through your entire stack.

We believe in human judgment, amplified

AI can spot patterns and surface problems faster than any human. But it can't understand your business context or make the call on what matters most right now.

That's why Datawise keeps you in the loop. We surface the signal, give you the context, and let you decide. Think of it as having a teammate who never sleeps, catches things you'd miss, and always knows where to look, but still asks for your input before taking action.

The future of data isn't firefighting

It's getting those 10 hours back every week. It's shipping insights instead of explaining why the pipeline failed again. It's trusting your data from the moment it lands.

That's what we're building at Datawise.