The biggest bottleneck in physical AI is not models — it is data. Humanoid robots learn from demonstrations, and the world's best demonstrations happen every day on factory floors, in clinics, and across field sites, seen through human eyes and hands.
AIVY Echo captures exactly that view. A 12MP wide-angle camera, 4-mic array, IMU motion, and IR sensing record the full context of hands-on work from the worker's own point of view — and gaze-attention inference estimates where the person is looking without any eye-tracking hardware.
The pipeline is privacy-first by design. Dual-SoC edge preprocessing labels context and de-identifies data on the device itself; only then does cloud alignment and 3D mapping turn it into VLA (vision-language-action) datasets that humanoid robots can train on.
AIVY is building this data bridge with robotics partners, starting with its PIE Robotics collaboration — turning the everyday expertise of frontline workers into the training curriculum for the robots that will work alongside them.
