We build Physical AI Lab Operators. Lab work should scale like compute. Today it doesn't. We're fixing that.
AI now generates more hypotheses than humans can ever test. There are 48 billion synthesizable drug-like molecules — but only ~2 million are actually tested in a wet lab each year. The gap isn't in discovery. It's at the bench.
The wet lab hasn't changed in thirty years. Scientists still pipette by hand, load instruments manually, and spend more time on logistics than on science. Robot on Rails is changing that with Physical AI — operators that work alongside scientists at the bench.
In software, if you want to test 100 million models, you throw compute at it. You spin up instances and run simulations. But simulations don't always reflect the real world. What if running a real experiment was as easy as running a simulation — but at the end, you had real-world data?
That's what we mean by lab work should scale like compute. You want to run 100 experiments? Send the order to a robot, and it runs them. Experimental compute — as easy as spinning up a simulation, but with real physical results you can trust.
Robot on Rails builds Physical AI Lab Operators — autonomous systems that make laboratory work programmable, reproducible, and scalable. No lab redesign. No equipment replacement. No automation engineers required. Our operators go beyond traditional robots: they perceive, reason, adapt, and execute real experimental protocols on real lab benches.
Scientists describe protocols in plain language. Our Physical AI Lab Operator translates intent into action, adapts to real lab environments, and compounds in capability over time. The more you use it, the smarter it gets. You can interchange simulation with real experiments — and get real data back.
This is the operating system for physical experimentation. A $109B market that's barely been automated.
Biotech customers paid us to automate their labs. No venture funding required to get here. Contracts expanded immediately.
Published study showing 79x improvement on a molecular cloning protocol. Committed long-term contract with Red Queen Bio.
Named MTLC Startup Tech Company of the Year, 2026
Selected to pitch at BioTools Innovator, 2026
Startup to Watch — Robotics Startup Radar by The Robot Report, 2025