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TrustFinance Global Insights
Feb 06, 2026
2 min read
11

ZenO has launched its public beta, a platform designed to collect real-world, first-person data using smart glasses and smartphones. This initiative aims to provide high-quality training data for physical AI systems, including robotics and autonomous agents. The platform integrates Story's Layer-1 blockchain for its core infrastructure, ensuring data provenance and verifiable consent.
The launch addresses a critical gap where physical AI trained on web-scraped or synthetic data struggles with real-world tasks. By capturing egocentric data—what humans see and hear—ZenO provides a more accurate foundation for training embodied AI. The company is also a member of the NVIDIA Inception program, leveraging NVIDIA's ecosystem to accelerate the development of its data network.
During the 6–8 week beta, users contribute data for XP rewards. The platform features a multi-stage quality assurance and anonymization process. ZenO plans a future revenue-sharing model where contributors receive a portion of data sales in stablecoins, creating a new economic model for data contribution that aligns incentives with long-term data quality and commercial demand.
ZenO's beta is a foundational step toward building a scalable, rights-cleared data market for the burgeoning physical AI industry. The long-term roadmap includes using the Story blockchain for programmable data rights and transparent licensing, aiming to create more reliable AI systems that can operate effectively outside of laboratory environments.
Q: What is the purpose of ZenO's platform?
A: It collects real-world, first-person data from smart glasses and phones to train physical AI systems like robots.
Q: How are data contributors compensated?
A: Contributors earn XP during the beta phase, with a future model planned for revenue sharing from data sales.
Source: Investing.com

TrustFinance Global Insights
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