Physical AI is new ground, and we treat it that way: as a serious R&D investment rather than a finished product. Our R&D hub is taking the spatial and edge-vision engineering we've proven elsewhere into one of the hardest operating environments on earth, the container terminal, working toward crane automation, yard intelligence and lift-prevention safety.
▸ We're honest about where this sits. The direction is deliberate and the underlying engineering is real, but this is active research and development, built with port operators rather than sold as a packaged solution.
Vision-assisted spreader positioning and container handling on the quay and in the stack.
Centimetre-grade positional awareness of stacks, lanes and equipment in real time.
Detecting and stopping accidental chassis lifts, a safety-critical edge-vision problem.
Keeping RTG/RMG cranes tracked precisely, automatically, run after run.
On-device inference where latency and connectivity rule the cloud out.
Tracking and prototyping with the physical-AI and world-model research reshaping the field.
An open frontier we're researching with port operators. The spatial command and edge-vision engineering behind it is proven in production elsewhere; our R&D hub is now adapting it toward crane automation, yard profiling and edge-vision safety on the quay.
