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Enterprise Layer Intelligence
Categories/Healthcare & Life Sciences/Caspar.AI
Caspar.AI

Caspar.AI

Founded 2017

Monitor patient physical activity and detect falls without wearables or cameras

You can use Caspar AI to monitor patient movement and activity in healthcare and home care settings without relying on cameras, microphones, or wearable devices. The system continuously captures physical data using ambient sensors to identify changes in routine, predict risks, and immediately detect falls with high accuracy. Care teams receive timely alerts when an adverse event occurs or when behavior patterns signal health decline. This setup allows staff to intervene early, reduce preventable hospital readmissions, and safeguard patient privacy while maintaining everyday comfort and independence.

What Caspar.AI does

Receive instant notifications when a fall is detectedReview continuous ambient activity logs for care residentsAnalyze changes in mobility and gait patterns over timeDispatch assistance to rooms based on sensor alertsEvaluate daily rest and movement cycles passivelyShare resident safety reports with family membersPassive ambient sensing without cameras or microphonesHigh-accuracy automated fall detectionContinuous contactless monitoring without wearablesEarly risk detection through physical pattern trackingAutomated alerts sent directly to care teamsNon-intrusive background operation preserving resident privacyLongitudinal physical movement and routine tracking

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Caspar AI, ambient sensing, fall detection, patient monitoring, physical AI, home care, elderly care, contactless sensing, healthcare monitoring, continuous monitoring, hospital readmission reduction, activity tracking, privacy-first monitoring, senior living