One Operator + AI Agents
Chaos in.
Systems out.
Most AI initiatives stall as demos. ML LABS builds agent systems that deliver measured business results in production — then runs them. Fixed scope, written targets, and a guarantee with teeth: full refund until you accept. From a practice that runs its own products.
FREE · 2 MIN · 10 QUESTIONS · NO EMAIL FOR THE SCORE
Systems that correct themselves.
How many AI initiatives have you funded that never went live? ~80% of AI projects never reach production — not because your team failed, but because no one closes the loop between output and correction. We engineer that loop, find the one constraint holding it back, and apply leverage where it counts. A system, not a demo.
The feedback loop
Agents act, measure the output, and correct based on the feedback. A closed loop is what turns a demo into a system that improves.
The bottleneck
One step limits the whole throughput. We find it first — fixing anything else just moves work to the bottleneck faster.
The fulcrum
A small, well-placed change moves the whole system. We spend effort where the return is largest, not where it is easiest.
A team of one beats your team of ten.
Omar Trejo — The Operator
AI engineering, leveraged by agents.
Omar scopes, builds, and delivers every engagement himself — one accountable operator, no handoffs, a first working system in the first week. The same practice runs its own products at Escape Velocity Labs: when we say production, we mean ours too.
See the Escape Velocity Labs portfolio ↗Omar did outstanding work designing and building the backend for our cloud-native AI-ECG platform. I recommend him to any organization needing a skilled and reliable engineering partner.
Jason DomaskDirector of Software EngineeringHeartSciencesOmar is one of the most skilled engineers I have worked with in 20 years of delivering technology. He led a program to build a custom ML platform for a top-10 global client. The work continuously exceeded expectations and became their foundation.
John LiangVP of Customer SuccessGigsterFirst time with a large budget, and Omar got the brief right away. Came back fast with interim results and nailed the delivery. His ability to turn problems into working systems made him our first call for every ML project after.
Johan PalmbergQuantitative ResearcherWorld Gold CouncilOmar delivered in two weeks what our team estimated would take six months. The scoping session alone saved us from a $200K mistake. He operates at a level you rarely see in this industry.
CONFIDENTIALAI Program ManagerMajor US TV networkWe needed a valuation engine that could price properties within 10% of closing price in dense markets, in seconds instead of days. Omar built it. That system became the reason investors took us seriously.
CONFIDENTIALFounder / CEOPropTech companyWe came to Omar with messy data and a deadline we'd already missed once. He turned it into a working system in days, kept us updated throughout, and it held up in production — reliable in a way this field rarely is.
CONFIDENTIALHead of DataHedge fundCase studies from production.
A cloud-native AI-ECG platform, clinic to cloud.
HeartSciences needed a production cloud backend for their vendor-neutral AI ECG platform. ML LABS was the only backend engineering on it — and it runs today in clinical production across the US and UK.
READ THE CASE →The build is the easy part. We stay for the hard part.
Start small — you never commit beyond the step you're on. The $750 credits toward Design, the $20K Design fee credits toward the Build, and credits last 90 days. Design and Build are backed by a full refund until you accept — and Operate has no lock-in: 30 days' notice.
Two minutes. One bottleneck. Named.
Fixed scope · written plan · measurable targets