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The data marketplace for physical AI.

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.

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hello@tracelabs.ai

Why now

Building the infrastructure layer for how robots learn from the real world.

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.

What we capture today is the starting point. The platform is designed to support many workflows, formats, and customer requirements over time as the field matures.

01

The constraint

Physical AI can transform how work gets done, but there is still no scalable equivalent of an internet of robotics data. Frontier robotics systems are forced to learn from dramatically less real-world experience than frontier language models.

02

What Trace does

We build the supply network, operational infrastructure, and data workflows required to capture, transform, and deliver high-quality real-world datasets across changing formats, sensors, and customer needs.

Why Trace

An early company tackling a foundational problem.

If you want to help define how robots learn to work, this is the stage where your decisions still matter everywhere.

A world-changing problem

01

Physical AI will reshape entire industries, but it cannot scale without real-world training data. Trace is focused on one of the core bottlenecks holding the field back.

Backed by top investors

02

Trace is backed by leading investors who believe physical AI will require a new data and infrastructure layer, and who understand the scale of the opportunity in front of us.

Experienced, tight-knit team

03

Trace is being built by a small team of founders, operators, and researchers with a track record of building ambitious systems together.

Real ownership

04

This is still early. The people who join now will materially shape the product, the systems, and the company itself.

Foundational platform

05

We are not building a single narrow dataset product. We are building core infrastructure that can support many capture modalities, workflows, and future products as physical AI evolves.

We're hiring

Join us in building the infrastructure for how physical AI learns.

We are looking for early teammates who want real ownership over the product, systems, and operating model behind Trace.