ZenO turns your everyday routines into valuable training data for robotics AI, and rewards you for it.
Pick a task, hit record, and show how you do things like wiping a table, folding clothes, or loading a dishwasher. Each completed recording earns you points. It's that simple.
The data you contribute helps researchers and developers teach robots how to perform real-world household tasks. ZenO uses your iPhone's ARKit spatial tracking to capture precise first-person motion, so every recording carries rich 3D context. No special equipment needed, just your iPhone and a few minutes.
What you can do:
Browse available tasks and pick what works for you
Record short first-person demonstrations with ARKit spatial tracking
Earn points for every approved submission
Track your progress and contributions in the app
Whether you've got five spare minutes or an hour, there's always a task to pick up. The more you contribute, the higher you rank on the leaderboard.
Built by ZenO.
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Voice missions now respect their time limit. A recording stops when it
reaches the mission's maximum length, and everything captured up to that
point is kept and can still be submitted.
When a take ends on its own, the app now says why, so it no longer looks
like something went wrong.
Clearer wording on the Dialect field in your worker profile.
Version 1.0.14
The developer, ZENOLABS INC, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy .
Data Not Linked to You
The following data may be collected but it is not linked to your identity:
User Content
Diagnostics
Surroundings
Body
Privacy practices may vary, for example, based on the features you use or your age. Learn More
Accessibility
The developer has not yet indicated which accessibility features this app supports. Learn More
Information
Seller
ZENOLABS INC
Size
14.8 MB
Category
Photo & Video
Compatibility
Requires iOS 17.0 or later.
iPhone Requires iOS 17.0 or later.
Mac Requires macOS 14.0 or later and a Mac with Apple M1 chip or later.