The bridge, tuned for care. A crowded ward is the hardest physical environment a machine faces — fragile people, beds and trolleys everywhere, no tolerance for a bump or a startle. The difference between a useful hospital robot and a banished one is not the robot; it's the judgment inside it.
Senses a person before a corner, slows near a wheelchair, yields to a stretcher, waits at a door, and stops the instant anything unexpected touches it. This is what earns a machine its place in a ward.
Holds an examination probe at exactly the right pressure while a distant specialist guides the scan and a local nurse positions the patient. The clinician controls every moment; the arm only supplies steadiness and reach.
Senses weight shift and adjusts support in real time to lift and turn immobile patients — under the carer's command, with the carer's hands free to care.
The sense of touch for machines that work near bodies: force limits, softness detection, grip that adapts to what it holds. The CEPHAI soft-manipulation family grows from this.
Thinks on the device, so telemetry stays where it was born. Watchfulness that protects without becoming surveillance that humiliates.
Every behavior rehearses thousands of simulated shifts — crowded corridors, sudden falls, spilled trolleys — before it meets a real ward. Offered as a validation service to other device makers.
Care environments are the hardest physical environments machines face: crowded corridors, fragile people, beds and trolleys everywhere, and no tolerance at all for a machine that bumps, pins, or startles. The difference between a useful hospital robot and a banished one is not the robot — it is the judgment inside it.
Phi's healthcare work is that judgment: safe motion that senses a person before a corner and stops instantly on contact; steady hands that hold a probe at the right pressure while a distant specialist guides the scan; gentle transfer that senses weight shift and adjusts in real time. The clinician controls every moment; the machine only supplies steadiness, reach, and care that never tires.
It is private by design — thinking on the device, so telemetry stays where it was born — and proven in thousands of simulated shifts before it meets a real ward. Watchfulness that protects must never become surveillance that humiliates.
A crowded ward tolerates nothing that bumps, pins, or startles. Phi senses a person before a corner, slows near a wheelchair or a walking frame, yields to a stretcher, waits at a door, and stops the instant anything unexpected touches it. This judgment is what earns a machine its place among patients — and it is the same problem, in different clothes, as moving through a crowd.
A robotic arm holds an examination probe at exactly the right pressure while a distant specialist guides the scan and a local nurse positions the patient. The specialist's skill travels down a long road that would take a patient a day to drive; the clinician controls every moment, and the arm supplies only steadiness and reach.
Gentle transfer senses weight shift and adjusts support in real time to lift and turn immobile patients — protecting the patient from pressure wounds and the carer from the back injury that ends careers. It moves under the carer's command, freeing their hands to care.
Phi is private by design — it thinks on the device, so telemetry stays where it was born, and the person controls what is shared. Watchfulness that protects must never become surveillance that humiliates, and every behavior rehearses thousands of simulated shifts before it meets a real ward.
We've started proving safe-motion and steady-hands work with clinical teams. Tell us the setting.