One person, start to finish.
Chaos in.
Systems out.
Most AI fails outside the demo. Ours works. You approve it only after you watch it work. One person builds it and stays responsible — their software runs every day in hospitals, hedge funds, and telecoms.
FREE · 2 MIN · 10 QUESTIONS · NO EMAIL FOR THE SCORE
Named references at HeartSciences · Gigster · World Gold CouncilSee the work →
It catches its own mistakes.
If you've funded AI projects that never reached real use, you're not alone — more than 80% never do. It wasn't your team. No one was responsible for finding where it goes wrong and fixing it before it reached you. We take that job.
The feedback loop
It watches its own work, catches what's wrong, and fixes it before you see it. Not a demo — something that keeps working without you.
The bottleneck
One slow step limits everything else. We find it first — fixing anything else looks like progress but changes nothing.
The fulcrum
A small change in the right place improves everything after it. We put our effort where it helps most, not where it's easiest.
Trusted where a mistake costs more than money.

Omar Trejo — The Operator
Builds it, runs it, owns the result.
15+ years building operational intelligence software that Fortune 500 companies and fast-moving startups still run today. Omar scopes it, builds it, and stays responsible for it himself — one person, with no one else in between. He also runs our own products at Escape Velocity Labs, so we live with what we build.
See the Escape Velocity Labs portfolio ↗Proof, already running.
A cloud-native AI-ECG platform, clinic to cloud.
ML LABS built the AI-ECG platform HeartSciences runs today in hospitals across the US and UK, where a wrong number can hurt a patient. This is what earning that trust took.
READ THE CASE →An EHR simulator for safe integration testing.
Access to a hospital's test system is scarce, shared, and scheduled by someone else. ML LABS built HeartSciences a full simulator of it, so the work never waited on another team's calendar.
READ →CASE STUDYAutomating healthcare billing at scale.
A billing engine only earns its place by agreeing with the experts it replaces. ML LABS built the clinical billing automation HeartSciences runs, held to 98%+ agreement with those experts before a single claim moved.
READ →CASE STUDYNatural-language search over operational data.
Clinical experts on HeartSciences' AI-ECG platform needed to find records by typing what they meant, not by stacking dozens of filters. ML LABS built the search behind it, mobile included.
READ →You see it work before you commit.
Written targets go into the contract before work starts. Design and Build: full refund until you accept. Operate: no lock-in — cancel any time with 30 days' notice.
Find the one thing blocking you.
Fixed scope · written plan · measurable targets


