Physical AI Made Easy

Any Robot. Any Task. For Anyone.

No Expertise Required.

Safety-critical manufacturing tasks

Hazardous 24/7 lab tasks

Everyday tasks, unstructured environments

Care & assistance

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.