Researcher

About Trace

Trace is building the data infrastructure that lets robots learn from the real world

AI is moving into the physical world. It has the potential to transform how work gets done in the real world, from robotics to embodied systems that can see, move, and interact with their environment. But today, progress is constrained by a fundamental limitation: there is no scalable way to collect high-quality, real-world training data. Frontier robotics models are trained on orders of magnitude less data than language models because there is no equivalent of an "internet of robotics data."

Trace exists to change that.

We build the infrastructure that makes it possible to capture and transform real-world data like humans performing physical work, and turn it into training data for robots and other intelligent systems that operate outside the browser and in the physical world.

If we succeed, we will meaningfully accelerate the development of physical AI and expand what these systems can safely and reliably do in the world. If you want to be an early hire at a company helping define how robots learn to work, keep reading.