ZenO

ZenO is not a data collection platform. Anyone can collect video. That’s not the hard part. The hard part is transforming everyday human activity into signals robots can actually learn from. ZenO reconstructs head trajectory, reconstructs hand trajectory in 3D space, and converts egocentric human interaction into robotics-ready training data. Teleoperation gives clean action data. But it cannot capture the messiness of real life: uncertainty, adaptation, failure, and the intent behind every movement. That is what everyday human activity contains. Physical AI learns by observing humans. ZenO turns human interaction into training data.

This is exactly why we're building ZenO. Robots like GENE-26.5 are incredible but the bottleneck has always been data. High-quality, real-world human motion data at scale. That's what we're solving. Every person with a smartphone becomes a data contributor. Every daily action becomes training signal for the next generation of robots. 🤖

Turn your iPhone into a Physical AI data capture device. Record real-world data directly through the dedicated ZenO app. - IMU-assisted motion capture - 6DoF trajectory reconstruction - Depth-aware data processing - Egocentric real-world datasets Built for robotics and embodied AI. Launching soon.

Exactly. Simulation scales locomotion. Real-world data scales manipulation. ZenO is building the physical AI data layer for that future.

Mission #11 is now live. Record yourself tidying up and organizing shoes in your daily environment. - 5 to 20 minutes - Head or face mounted phone only - Landscape mode required - Both hands must stay visible - First person POV only - 0.5x - 0.7x wide angle Upload via ZenO Core: app.zen-o.xyz Discord: discord.com/invite/5u5626M… Your data helps build the future of Physical AI.

The data Physical AI needs is changing. For years, the focus was on locomotion and basic manipulation, walking, running, grasping. With the rise of VLA (Vision-Language-Action) models, the bar has shifted. Robots now need to see, reason about process, and predict outcomes. The same action means little without the why, the where the eyes went, and the intent behind it. ZenO doesn't stop at collecting first-person video. When footage comes in, ZenO Studio reconstructs the head trajectory as 6-DoF pose, computes its spatial relationship to hand poses, and turns the whole thing into a format a robot can actually learn from. Output ships in LeRobot v2.1, drop-in compatible with Physical Intelligence π0, ALOHA ACT, and similar pipelines. Teleoperation produces clean action data, but it can't capture the environmental variability and failure modes a humanoid will actually encounter. That's why we build datasets from everyday human activity. Five minutes of someone cooking becomes a dataset where gaze, hands, and intent are baked in. Through our app, ZenO is building infrastructure where anyone with a smartphone can produce high-quality training data. Training data for the humanoid era no longer belongs only to expensive labs. Physical AI learns by watching us. We turn how we watch into data.

ZenO Prism is live Upload data → Earn Prisms → Unlock rewards Even 1 upload/week is enough to start. The more you contribute, the greater your rewards. Built for both consistent and high-volume contributors. Start now: app.zen-o.xyz

Zen Signal is closing Friday, 00:00 UTC. Thank you to everyone who posted and tagged @ZenO4AI. Your signal was heard. All XP earned will be recorded as-is. But this is just the beginning. New ways to contribute are coming beyond data, beyond signal. Stay tuned. Silence is part of the process.

More data isn’t the answer. Usable, trainable data is what actually improves models.

Mission #10 is now live. Record yourself organizing and tidying up objects in your daily environment. - 5 to 20 minutes - Head or face mounted phone only - Landscape mode required - Both hands must stay visible - First person POV only - 0.5x - 0.7x wide angle Upload via ZenO Core: app.zen-o.xyz Discord: discord.com/invite/5u5626M… Your data helps build the future of Physical AI.

The next wave of AI depends on data that can’t be exposed. Now with Confidential Data Rails (CDR), that constraint disappears. ▸ Data stays encrypted ▸ Access is defined upfront ▸ Secure pre-conditions held for decryption Live now on testnet.

@StoryProtocol Big release 🔥

Prism is coming 🔑 Built for two types of users: - Consistent contributors - High-volume contributors Even 1–2 uploads per week can earn rewards through Prism. More uploads → bigger rewards based on weekly goals. Earn Keys each week from your data, and use them to open the Prism. More than XP. Coming soon 👀

Mission #9 is now live. Record yourself folding and organizing laundry at home. - 5 to 20 minutes - Head or face mounted phone only - Landscape mode required - Both hands must stay visible in frame - First person POV only - 0.5x - 0.7x wide angle Upload via ZenO Core: app.zen-o.xyz Discord: discord.com/invite/5u5626M… Your data helps build the future of Physical AI.

@SelanetAI Congrats! Huge milestone 🔥

We just won the ETHGlobal hackathon.🎉 Smooth win, great experience. More details dropping soon.

🚀 ZenO Action Cam Owner Recruitment We’re looking for 20 action cam users to collect real-world data for ZenO. If you own a GoPro or similar action camera with IMU sensors (gyro + accelerometer), this is for you. Details • Limited Spots: 20 participants • Reward: Action Cam Owner Role + token allocation • Requirement: IMU-enabled device (GoPro, Action Cam, etc.) Be part of building real-world data for Physical AI. Apply now ↓ forms.gle/t68hpx8ZydihN9…

Real-world human data is the foundation of Physical AI. From egocentric video to structured training data. This is how machines learn from reality. We’re building it in real time. Contribute and earn rewards ↓ app.zen-o.xyz

XP Leaderboard is now live & Season 1 has started 🔥 All contributions from the Beta season have been counted, and you can now check your rank. XP is not based on simple accumulation but follows a fixed weekly distribution model where your contribution determines your share. This ensures fair rewards while maintaining the value of XP. Season 1 has officially begun, and from now on every action you take can turn into real value. Let’s keep building together 🙌

🚀 ZenO XP Leaderboard drops March 31 2 months into beta thanks to everyone contributing via data uploads, X posts, and invites. All contributions have been tracked. Check your rank soon. • Beta ends: Mar 31 • Leaderboard: Mar 31 • Post-beta: Public XP season continues • XP: Fixed weekly distribution (scarce by design) 🤖 Next: Web Teleoperation Beyond video data collection, control robot arms directly from your browser and generate real robot training data. No controllers just your hands. More soon.

ZenO has launched its public beta, a Story ecosystem project focused on real-world data collection for training physical AI systems, built on @StoryProtocol. @ZenO4AI enables contributors to capture first-person audio, video, and image data using smart glasses or a mobile device, which is then anonymized and structured for training robotics and embodied AI systems. Robots trained on scraped web data or simulations often struggle with everyday tasks that require real environmental context. ZenO’s beta is designed to help address that gap by validating the end-to-end pipeline from capture to anonymization to structured metadata tagging. ℹ️ Contributors earn rewards for data collection and can receive a share of downstream stablecoin revenue if datasets are sold. ZenO’s roadmap includes writing metadata and licensing information onto Story to enable transparent licensing and automated revenue distribution at the point of registration. → ZenO recently joined NVIDIA Inception as it builds toward enterprise-grade data supply for robotics.