We’re excited to announce our collaboration with @BitRobotNetwork, an open robotics network bringing together contributors, data, and infrastructure for Physical AI.
ZenO is launching SN/05 on BitRobot, connecting real-world Physical AI data collected through the ZenO iPhone ader robotics ecosystem.
Through this collaboration, approved data contributions from ZenO can become part of a broader robotics data network, while opening up additional rewards for contributors.
More details below ↓
ZenO is launching SN/05 on BitRobot, connecting real-world Physical AI data collected through the ZenO iPhone ader robotics ecosystem.
Through this collaboration, approved data contributions from ZenO can become part of a broader robotics data network, while opening up additional rewards for contributors.
More details below ↓
Oct 23, 2026 · 2:00 PM UTC
49
37
113
6,794
Eligible submissions through the ZenO iPhone app will continue to receive ZenO rewards as usual. All qualified submissions are eligible for BitRobot rewards, not just specific tasks.
Valid contributions connected through SN/05 will also receive BitRobot Subnet Points. These points reflect each contributor’s share of participation within the subnet and are used to determine the distribution of BitRobot Bolts.
Bolts are distributed every 30 days based on each contributor’s accumulated Subnet Points.
This means a single approved contribution can now be recognized across both ZenO and BitRobot, creating an additional reward layer for contributors providing useful real-world Physical AI data
Valid contributions connected through SN/05 will also receive BitRobot Subnet Points. These points reflect each contributor’s share of participation within the subnet and are used to determine the distribution of BitRobot Bolts.
Bolts are distributed every 30 days based on each contributor’s accumulated Subnet Points.
This means a single approved contribution can now be recognized across both ZenO and BitRobot, creating an additional reward layer for contributors providing useful real-world Physical AI data
1
0
11
969
Contributors can participate directly through the ZenO iPhone app.
Capture real-world activities and upload your data through ZenO as usual. Once a submission passes validation, eligible contributions are connected to SN/05 and recognized within the BitRobot ecosystem.
There is no separate task flow or additional upload required. Existing ZenO contributors can continue participating through the same process they already use.
Capture real-world activities and upload your data through ZenO as usual. Once a submission passes validation, eligible contributions are connected to SN/05 and recognized within the BitRobot ecosystem.
There is no separate task flow or additional upload required. Existing ZenO contributors can continue participating through the same process they already use.
1
0
9
755
SN/05 focuses on real-world human activity data collected through the ZenO iPhone app.
Beyond video, supported devices can capture spatial and motion-related data alongside each recording, creating richer multimodal datasets for robotics and embodied AI.
These datasets capture how people move, interact with objects, and perform everyday tasks in real environments.
By connecting this data with BitRobot, everyday human activity can contribute to a broader data network built for Physical AI.
ZenO iPhone App:
apps.apple.com/app/zeno-data/…
Beyond video, supported devices can capture spatial and motion-related data alongside each recording, creating richer multimodal datasets for robotics and embodied AI.
These datasets capture how people move, interact with objects, and perform everyday tasks in real environments.
By connecting this data with BitRobot, everyday human activity can contribute to a broader data network built for Physical AI.
ZenO iPhone App:
apps.apple.com/app/zeno-data/…
1
0
8
550
@ZenO4AI @BitRobotNetwork It's time to come up with something for Android owners too
0
0
1
86
@ZenO4AI @BitRobotNetwork Our future is just around the corner
0
0
0
29
@ZenO4AI @BitRobotNetwork massive news from the team
0
0
0
18

































