Where sensing hardware meets learning systems.
One team, one supply base, one standard of evidence — applied to four kinds of product.
Robot-learning data hardware
Egocentric headsets, body and object trackers, UMI grippers and synchronised multi-camera systems for teams training robot foundation models.
- Spec translation
- Vendor landscape and qualification across Shenzhen, Dongguan, Shanghai and Hangzhou — existing products first, custom builds only when nothing fits.
- Timing and validation testing on real units before you commit (exposure alignment, camera-to-IMU offset, dropped frames over long runs).
Wearables & health sensing
Connected collars, smart footwear, rings, earbuds and gloves — taken from a proven platform to a product you own, with your data on your cloud.
- Dual-track vendor strategy
- Hardware RFPs with the clauses that matter
- Sensing architecture and evidence plans
Edge vision & AI boxes
Rockchip, NVIDIA Jetson and Hailo edge boxes, smart cameras and GMSL camera systems for retail analytics and industrial inspection.
- Compute selection with numbers
- Camera and link design
- Enclosure and thermal design for sealed, fanless deployment.
Data-collection operations
Egocentric and manipulation data collection for robotics labs — 10,000+ hours a month across five Southeast Asian countries, in commercial and household environments.
- Site sourcing and employer consent for workplace recording (warehouses, kitchens, light manufacturing, retail).
- Participant recruitment, onboarding and device training.
- Device logistics
Building hardware that has to learn? Talk to us.
Send a spec, a sketch, or just the problem. We reply within 24 hours (HKT), usually the same day.