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.
We've partnered with @BitkubOfficial to share resources on how verifiable AI data works.
➤ Bitkub Exchange: strategic access to one of the most active digital asset user bases in Asia.
➤ Bitkub Academy: educational hub for decentralized AI and data provenance courses.
➤ DATA
📂 Bitkub x @datafdn : Advancing AI Data Literacy in Thailand!
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Bitkub Exchange collaborates with The DATA Foundation to deliver in-depth knowledge on Decentralized AI, Data Provenance, and On-chain Data Licensing—empowering Thais to stay ahead in the global tech landscape.💡
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