Revolutionary Motion Sensing

Our fall prevention device, PAUL, detects millimeter movements by looking for frequency shifts in the recorded spectrum of its transmitted radio waves signal, which are caused by reflections from a moving person. PAUL respects privacy as no camera or microphone is used and supports caregivers to prevent falls.

Place one PAUL (fall prevention device) in the room where your resident spends most of their daytime (e.g. living room) and one where they sleep (e.g. bedroom). Read how other communities could prevent up to 70% of falls.

PAUL’s AI is built on billions of human-motion measurements from older adults, collected across real-world senior living environments over several years.

Our proprietary models analyze subtle changes in mobility, gait speed, activity, bathroom routines, rest, and other movement patterns to identify combinations of signals associated with increased fall risk.

Because PAUL continuously supports residents over time, its AI can recognize meaningful changes in individual movement patterns—helping caregivers identify emerging risks and take preventive action before a fall occurs.

All of this happens without cameras or microphones, protecting the privacy and dignity of every resident.