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IP Strategy Issues Statement on ZenO’s Public Beta Launch, Showcasing Real-World AI Use Cases Built on Story

The launch of ZenO’s public beta underscores growing demand for real-world, rights-cleared data infrastructure built on Story as physical AI adoption

articleIp Strategy Holdings, Inc.February 11, 20263/company/ip-strategy-holdings-inc/news/ip-strategy-issues-statement-on-zenos-public-beta-launch-showcasing-real-world-ai-use-cases-built-on-story
IP Strategy Issues Statement on ZenO’s Public Beta Launch, Showcasing Real-World AI Use Cases Built on Story

About this update from Ip Strategy Holdings, Inc.

[{"type":"text","content":"The launch of ZenO’s public beta underscores growing demand for real-world, rights-cleared data infrastructure built on Story as physical AI adoption acceleratesPlatform lets people collect real-world data for AI using smart glasses or their mobile phones and get compensated GIG HARBOR, Wash., Feb. 11, 2026 (GLOBE NEWSWIRE) -- IP Strategy (Nasdaq: IPST) (the “Company”) today issued a statement recognizing the public beta launch of ZenO, a physical AI data collection platform focused on capturing real-world, first-person human behavior for training robotics and embodied AI systems utilizing Story’s Layer-1 blockchain technology as its core infrastructure. ZenO’s launch reflects continued momentum across the Story ecosystem, as builders increasingly adopt Story to support new categories of intellectual property (“IP”)-native applications at the intersection of AI, data, and programmable rights. As physical AI systems move from research into real-world deployment, access to high-quality, rights-cleared training data has emerged as a critical bottleneck. Unlike traditional AI models trained on scraped or synthetic data, physical AI requires egocentric, first-person data captured from real environments. ZenO’s platform is designed to address this gap by enabling the scalable collection, anonymization, and structuring of real-world audio, video, and image data. ZenO is building a platform that allows people to collect real-world data for AI using smart glasses or their mobile phones. Users can capture first-person video, audio, and images during everyday activities, which ZenO then anonymizes, structures, and prepares for use in training physical AI systems such as robots and embodied models. The goal is to create high-quality, rights-cleared data that helps AI systems better understand and operate in real-world environments. From IP Strategy’s perspective, ZenO represents a new class of Story-native application: one where data itself becomes a programmable, licensable asset from inception, rather than an afterthought. Alignment With Story’s IP Thesis ZenO’s roadmap includes writing metadata, contributor consent, and licensing information for user-generated datasets onto Story, enabling transparent provenance, programmable licensing, and automated revenue distribution for AI training data. This approach aligns directly with Story’s co...

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