We're building software that takes care of its own quality.

We're product builders and engineers who have spent years shipping software. We move fast, launch, iterate, break things, fix them and ship again. And we kept hitting the same wall.

Not because engineers don't care about quality. We care deeply about what we ship. But as products grow, so does everything that can go wrong: more features, more devices, more integrations, more edge cases, more journeys. Eventually someone has to check it all, and traditionally that meant more manual testing, more scripts and more time proving yesterday's code didn't break today's product.

So we built TaloTrace for ourselves. Not a runner for a predefined list of tests, but something that understands a product, explores it like a user, investigates what happens and comes back with evidence.

We use it every day on our own products. It's dogfooded daily on the Growtrics Academy app, its first and most-tested customer. Every frustrating regression and every limitation we hit becomes part of what we build next. Our assumptions aren't theoretical; they're tested against software that is actually being built, changed and shipped.

Quality became the bottleneck. AI made writing code faster. It didn't make knowing whether the code works any faster.