Physical AI Made Easy

Any Robot. Any Task. For Anyone.

No Expertise Required.

We believe hazardous, repetitive work should be handed over to robots. With labor shortages squeezing every industry, the need has never been more urgent. Yet deploying a robot still means hiring a team of robotics engineers. Lavoro changes that: infrastructure today that puts robots to work, and a foundation model tomorrow built for the safety and flexibility the hardest real-world domains demand.

Open Source Robot Control Infrastructure

Introducing RIO

Featured by Carnegie Mellon Robotics Institute →

Our technology builds on peer-reviewed research from the CMU Robotics Institute. RIO (Robot I/O) is a flexible, open-source Python framework for real-time robot control, teleoperation, and policy deployment across any hardware platform. Mix and match robots, sensors, and AI models. No rewriting, no vendor lock-in.

4.5× Lower latency than existing frameworks

≥60% Task success from just 50 demonstrations, state-of-the-art sample efficiency, without the custom engineering

~2 hrs As little as 2 hours from unboxing a robot to teleoperation, no robotics background required

Learn more → Read testimonials →

RIO Grande

Join the waitlist

RIO Grande extends RIO with cross-embodiment robot learning: train on one robot, deploy on another, and run the same pipeline across your whole fleet. Be first to get access.