[ OUR STORY ]
We were tired of AI that dazzles in the demo and dies in production.
Starwatch Labs started with a simple frustration: the demo always impressed the room, then quietly fell apart under real load. So we built a team that treats applied AI as engineering — measured, observed, and owned.
[ THE PROBLEM ]
Demos are cheap. Production is expensive.
Every team we met was being sold models they couldn't evaluate, run, or own. The hard part was never the prototype. It was the honest scoping, the evaluation, and the observability that decide whether a system holds up once real users arrive.
Eval-firstevery engagement carries an evaluation harness, so "better" is a measured number rather than a hunch
0black boxes left behind — you keep the code, the docs, and the judgment to run it
[ CAREERS ]
Build AI that survives production.
We're a small, senior team of ML and systems engineers. If you've ever wanted to take a model past the demo and make it hold up, you'll fit right in.
See open rolesmlapplied modeling, evaluation harnesses
platforminference infra, observability
strategyhonest scoping, clear ROIHiring
See how we'd take one of your AI ideas from prototype to production.
Book a call[ SERVICES ]
[ COMPANY ]