Story, an IP blockchain infrastructure provider, said on Monday it is integrating blockchain technology into the public beta version of physical AI data collection platform ZenO and expanding infrastructure for Real-World Data needed to train physical AI.

ZenO is a platform that collects, anonymises and structures first-person Real-World Data for training next-generation physical AI such as robots, autonomous agents and embedded AI models. Using the Story blockchain, ZenO will record user-generated dataset metadata and licensing information on the blockchain. It will enhance capabilities to enable programmable data rights, transparent licensing and automated revenue distribution for AI training data.

ZenO collects first-person real-world data of human actions, such as seeing, hearing and acting in daily life. Data can be collected through ZenO smart glasses that support audio and video capture, or through a smartphone. This beta version will run for about 6 to 8 weeks based on ZenO's earlier MVP and will validate the full process of real-world data collection, from collection to quality assurance, anonymisation and structuring.

During the beta period, data uploaded by contributors to the ZenO application will undergo automatic format conversion and integrity checks. It will then pass a multi-stage quality verification process that includes AI-based screening and manual review.

Sensitive information such as faces or identifiable text is automatically anonymised. Contributors then add structured metadata that includes environmental and behavioural information in the video. Approved datasets are securely stored and managed on ZenO's data marketplace infrastructure.

ZenO records wallet-signature-based user consent information and data identification information on the blockchain. This allows the approval status of contributors and the provenance of datasets to be managed in a verifiable form. Full IP and data rights management is also scheduled to be offered as a formal service later.

Rewards for data contributors will be operated based on a two-stage incentive model. During the beta period, immediate rewards are provided in experience points (XP) for data collection activities, and stablecoin-based revenue distribution will take place if data sales occur later.

A ZenO official said physical AI systems need high-quality, rights-verified first-person data collected in real environments. The official said the beta is a step to validate how such data can be collected and structured and used to train AI models that operate in real environments.

Seung-yoon Lee (이승윤), Story's CEO, said infrastructure is essential in the physical AI era to manage real-world data provenance and rights relationships in a trustworthy way. He said Story will build a new ecosystem through its cooperation with ZenO that can protect rights to AI training data and enable value distribution.