About

More experiments. Less time at the bench.

Robot on Rails builds physical AI for the lab bench — removing the physical bottlenecks of experimentation so scientists can focus on discovery. No code. No lab redesign. Just research.

Mission

The bottleneck isn't ideas — it's the physical work.

AI now generates more hypotheses than humans can ever test. There are 48 billion synthesizable drug-like molecules, but only about 2 million are tested in a wet lab each year. The gap isn't discovery — it's at the bench, where scientists still pipette by hand, load instruments manually, and spend more time on logistics than on science.

We started Robot on Rails to change that with physical AI — a robot that works alongside scientists at the bench, runs their protocols, and gives their time back to the work only they can do.

We turn a lab's islands of instruments into one autonomous lab — so scientists are free to focus on discovery, not logistics.

How it works

From islands of instruments to one autonomous lab.

A walk-through of describing a protocol and letting the Undergrad run it.

Every instrument on your bench. One rail. One robot.

A thermocycler, magnetic separator, plate reader, centrifuge and liquid handler connected by a single glowing rail with a robot moving between them.

Three layers: orchestration → robot → your instruments.

Three-layer architecture: an orchestration layer, the Undergrad robot, and the instruments you already own.

From a lab you operate to a lab that operates itself.

Before and after: a scientist carrying plates by hand versus an autonomous bench running itself.
What we build

Physical AI Lab Operators

Our robot, the Undergrad, pairs an AI that understands plain-language science with a body that sees what it's doing — running protocols on the instruments you already own, and getting better with every run.

Plain language in

Describe a protocol the way you'd brief a labmate. No scripting, no automation engineer.

Vision-verified action

Onboard cameras confirm every step on a real bench — errors are caught at the bench, not the reader.

Better every run

Every run is training data. The longer you use it, the more it works the way you think.

Our thesis

Lab work should scale like compute.

In software, to test a hundred models you spin up instances. We bring the same elasticity to the bench: send the order, the robot runs the experiments, and you get real physical data back — not just a simulation. This is the operating system for physical experimentation, in a market that's barely been automated.

What we've proven

Real results, not a roadmap.

improvement on a molecular cloning protocol, validated with Red Queen Bio
$2M+
revenue, fully bootstrapped — biotech customers paid us to automate their labs
2026
MTLC Startup Tech Company of the Year · committed Red Queen Bio contract
For investors

Lab work should scale like compute.

In software, testing 100 models means spinning up instances. We bring that elasticity to the bench: send the order, the robot runs the experiments, and you get real physical data back. This is the operating system for physical experimentation — a $109B market that's barely been automated.

The Undergrad robot picking up a microplate with a vision-verification overlay confirming the labware.
0%
of scientist time spent on manual tasks
0%
of lab instruments sit idle
$2M+
revenue, fully bootstrapped
2026
MTLC Startup Tech Company of the Year

If you're interested in the future of lab automation, we'd love to connect — investing@robotonrails.com.

Where we are

Built in Boston.

Robot on Rails is a small, deliberate team spanning precision robotics, computer vision, and bioprocess science — incubated in the New England robotics ecosystem out of MassRobotics, with real IP and early instrument partners behind us. Meet the team →

Free your scientists to do science

Whether you're buying a robot, exploring a collaboration, or just curious — we'd love to hear from you.

Talk to us Meet the team