Omnilogic Labs is three senior engineers — Mike, Juan, and Dan — who have spent careers building, repairing, and teaching the systems other companies depend on. For bigger jobs we assemble a vetted network around that core. We are deliberately small, deliberately senior, and accountable end to end. Not a body shop.
Builds AI systems for businesses — the kind that keep running long after the demo. Spent five years as a software architect on Uber's autonomous-vehicle program, building the engineering culture and safety-critical practice for 500+ engineers. Earlier, engineering lead on a #1 Food & Drink iOS app that reached roughly 10M users and was acquired by Yelp. Research roots in human-robot interaction and low-level systems.
"I ship systems, not strategy decks. One of those can break — which means one of those is real."
AI and enterprise transformation. Led global fraud-detection machine learning at payments scale, with data pipelines serving tens of thousands of corporate clients, and built large-scale risk data platforms. Earlier, strategic business development across Latin America and the founder of an algorithmic-trading platform. Pioneered our preview-to-engagement model.
Working prototype on real data in a week. Production in thirty days. The ROI question shifts from "if" to "how fast."
Operations, structured finance, and turnaround. Originated and managed a $160M+ portfolio at under a 1% loss ratio and ran a fund with $650M in assets — including taking over distressed companies, restructuring operations, and executing clean exits. Decades of global B2B technology and supply-chain leadership behind it.
Recovery is a discipline: assess, stabilize, realign — then deliver. The instinct that turns around a company keeps an engagement on the rails.
When a problem needs more than three people, we bring in vetted specialists we've worked with for years — UX, hardware, robotics, and design among them. We can also help you staff a team of your own: we know who's good, and we've made the hiring mistakes so you don't have to.
We build a working prototype against your real data, so you can judge the value before committing to a build — not from a slide, from something that runs.
From validated prototype to a production-ready system with predictable outcomes. Outcome-based milestones, not hourly meters.
We own the result, not a ticket queue. And we leave your team able to run what we built — that's the Teach half of the lab.