Palo Alto, CA, February sixth, 2026, Chainwire
ZenO opens entry to selfish audio, video, and picture knowledge captured from sensible glasses and smartphones to assist the following technology of bodily AI methods.
ZenO right now introduced the launch of its public beta, opening entry to a brand new platform designed to gather, anonymize, and construction real-world, first-person knowledge for coaching bodily AI methods resembling robots, autonomous brokers, and embodied fashions. ZenO will make the most of Story’s Layer-1 blockchain know-how as its core infrastructure.
The launch comes at a second when bodily AI is transferring from analysis into manufacturing, however the knowledge required to energy these methods hasn’t stored tempo. Robots skilled on scraped internet knowledge or simulations wrestle with on a regular basis duties that people carry out intuitively. ZenO addresses this mismatch by enabling the gathering of first-person, real-world knowledge (what individuals really see, hear, and do), creating a brand new basis for coaching embodied AI methods at scale.
By coaching on real-world, first-person knowledge, bodily AI fashions could be fine-tuned to higher understand their environments, generalize throughout unpredictable situations, and carry out duties extra precisely and reliably as soon as deployed in the true world.
ZenO additionally just lately joined a member of NVIDIA Inception, a worldwide program designed to assist startups constructing superior AI applied sciences. By this system, ZenO is accelerating the event of its Bodily AI Information Community by leveraging entry to NVIDIA’s GPU ecosystem, technical experience, cloud infrastructure advantages, and go-to-market assets. This assist permits ZenO to scale enterprise-grade, rights-cleared knowledge infrastructure required to coach robotics and embodied AI methods working in complicated bodily environments.
The beta is constructed on ZenO’s present MVP, now stay at and focuses on validating the end-to-end product movement for real-world knowledge assortment: from seize to high quality assurance and anonymization. The beta will run for about 6–8 weeks.
In contrast to artificial knowledge or scraped on-line content material, bodily AI methods require selfish knowledge: what people really see, hear, and do in real-world environments. ZenO permits contributors to seize steady first-person audio, video, and pictures utilizing both ZenO-branded sensible glasses or their cell phones, following clearly outlined knowledge assortment missions.
How the ZenO Beta Works
Throughout the beta, customers can:
Seize real-world audio, video, and pictures from a first-person perspective
Add knowledge by means of ZenO’s software for automated formatting and integrity checks
Have knowledge reviewed by means of a multi-stage QA course of, together with AI-based screening and human evaluation
Routinely anonymize delicate info, together with faces and identifiable textual content
After anonymization, contributors add structured metadata describing actions and environments throughout the footage. Permitted datasets are then securely saved and cataloged inside ZenO’s knowledge market infrastructure.
Incentives and Contributor Rewards
ZenO makes use of a two-stage incentive mannequin for contributors:
Quick rewards for knowledge assortment, paid in XP through the beta part
Income sharing if the contributed knowledge is offered, with contributors receiving a portion of downstream gross sales in stablecoins
This construction aligns contributor incentives with long-term knowledge high quality and business demand, slightly than one-time labeling duties.
{Hardware} and Seize Choices
ZenO’s sensible glasses are manufactured by way of an OEM partnership and launched beneath the ZenO model, with specs akin to main shopper sensible glasses. The glasses assist audio and video seize, hands-free operation, and all-day wearability. Contributors may additionally take part utilizing smartphones, relying on mission necessities.
Onchain Foundations and Future Roadmap
Throughout the beta, ZenO data wallet-signed consent and knowledge identifiers onchain, making a verifiable report of contributor authorization and dataset provenance. Full IP and knowledge rights administration performance is deliberate for a future launch.
ZenO’s long-term roadmap contains writing metadata and licensing info for user-generated datasets onto Story, enabling programmable knowledge rights, clear licensing, and automatic income distribution for AI coaching knowledge.
“The true world doesn’t appear like the web,” stated Daybreak Kim, Co-Founding father of Zeno. “Bodily AI methods want high-quality, rights-cleared, first-person knowledge captured in actual environments. This beta is about proving the inspiration for the way that knowledge could be collected, structured, and used to coach fashions that truly work outdoors the lab.”
ZenO is at the moment working with early knowledge demand companions and can share traction metrics following the beta interval.
To be taught extra or be part of the beta, customers can go to
About ZenO
ZenO is a Bodily AI knowledge assortment platform centered on capturing real-world, first-person (POV) human conduct for coaching robotics and embodied AI methods. By sensible glasses and smartphones, ZenO permits contributors to add video and picture knowledge generated from on a regular basis actions. ZenO is designed to assist scalable, compliant assortment of real-world knowledge for next-generation Bodily AI methods.
About Story
Story is an AI-native blockchain community designed to function the provenance, licensing, and financial layer for AI knowledge and fashions. Powered by the $IP token, Story permits datasets, fashions, and AI-generated outputs to be registered as mental property, licensed programmatically, and monetized with built-in attribution.
Backed by $136 million from a16z crypto, Polychain Capital, and Samsung Ventures, Story launched its mainnet in February 2025 and is constructing foundational infrastructure for the AI financial system. By making IP native to the information and mannequin lifecycle, Story offers the belief and financial rails required for AI methods to scale responsibly throughout enterprises, builders, and world markets.
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