We’re an applied AI company focused on Physical AI –foundation models that connect perception, reasoning, and control to drive physical action. Our architecture fuses vision, language, and motion planning so the same “brain” can operate different embodiments: arms, mobile manipulators, humanoids, and the tools they use.

We design for the messy, unpredictable world – where safety, latency, and uptime are not side notes
but the product itself.

Our foundation model is a generalist “brain” for the physical world. It fuses vision, language, and action to understand scenes, select skills, and execute—on robotic arms, cobots, AMRs, or mixed cells.
Train once, deploy broadly, learn continuously

Perception Core: Multi-camera vision + tactile/force cues for objects, poses, and material properties—
even in glare, clutter, or motion.

Skill library: grasp, re-grasp, place, sort, verify, recover — composed on the fly instead of brittle scripts.

Policy engine: goal-conditioned control with uncertainty modeling; if confidence dips, it slows, re-plans,
or asks for help.

Language interface: set goals in plain language (“induct fragile polybags to lane 3”) with guardrails
that turn intent into safe actions.

fleet learning: privacy-preserving updates; every site benefits from global experience without sharing what shouldn’t be shared.

We advance Physical AI that serves people and industry — responsibly and at scale. For media, analysts, and event organizers, we offer briefings, facility visits, and on-the-record commentary.

Our core application: robotic picking that adapts in the wild. Boxes, polybags, awkward SKUs, wonky labels, shiny film — handled with stable grasping, dynamic policies, and real-time feedback.