Trace builds the infrastructure to capture real-world data from humans doing physical work and turn it into training data for robotics systems, embodied AI models, and other AI that operates in the physical world. There is no scalable, trusted way to generate this data today. Trace exists to change that.
Physical AI will expand what machines can safely and reliably do in the world, but progress is gated by data. Trace is building the marketplace and operating layer that helps customers capture better data, learn faster, and scale what works.
The platform is designed to support many workflows, formats, and customer requirements over time as the field matures, focusing on one of the core bottlenecks holding physical AI back.
