250M+ data registrations on Trace.
That’s 250M+ verifiable receipts for where data came from, how it was collected, and the rights attached to it.
Receipts make your data easier for AI labs to trust, evaluate, and buy.
Every company can be a data company.
81% of enterprises surveyed have delayed, scaled back or abandoned an AI initiative because of data permission and governance gaps.
93% encountered permission or governance issues within the AI lifecycle.
Valuable data ≠ sellable data
We're building Trace to close that gap.
Physical AI has a data problem. To operate in the real world, models need to learn from human experience.
The scale of what that demands is increasingly clear:
↳ $7T potential humanoid market by 2050
↳ $11.9B → $49.8B AI training dataset market by 2031
↳ ~100K hours of
A cheat sheet for understanding Trace:
▸ Each Trace registration creates an auditable record
▸ Those records persist as data moves between parties
▸ It doesn't store underlying data
▸ The data is never public
Think of it as a ledger for data.
