We're building schema breakage intelligence.

We met a data engineer spending 10+ hours every week manually reconciling incentive data. Not because they wanted to. Because the pipeline kept failing and there was no way to know why until it was already broken.

Every team we talked to had the same story. A column gets renamed. A PR merges on Friday. By Monday, three dashboards are blank and nobody knows what changed.

A wrong dashboard for 24 hours isn't just a data problem. It's a leadership trust problem. And it almost always starts with a schema change nobody caught in time.

That's the problem we're built to solve.

We think data teams should spend time building, not firefighting.

You shouldn't find out your data is broken when your CEO asks why the numbers don't add up. You should find out before the change ever reaches production. And when something does slip through, you should know exactly what it touched.

Datawise catches the break before it happens. And maps exactly what it would have touched if it did.

The future of data teams isn't faster incident response.

It's not having incidents in the first place.

That's what we're building.