Caspar Physical AI for Health
Caspar’s generative AI uses data (such as motion, activity, and vitals) from ambient sensors to deliver 24/7 monitoring, personalized healthcare, and early escalation of potential health issues. Our multi-modal foundation model, trained on 150 billion data points, powers an AI agent for the staff, improving efficiency and empowering them to provide better patient care.
Diverse Data Sources
Our AI agent ingests data from discreet ambient sensors as well as 10+ EHR platforms.
Ambient Intelligence
Generative AI adapts to individuals’ patterns of behavior, delivering personalized insights without the need for cameras or wearables.
Improved Outcomes
Care teams receive AI-assisted health insights & alerts to deliver better care more efficiently.
Multi-Modal Physical AI
Caspar’s multi-modal AI ingests large volumes of continuous data from physical, ambient 3D sensors, analyzing every moment of patient vitals, movement and behaviors to build comprehensive whole-person models. Our agentic framework considers complex correlations and identifies long-term trends for interpretable health insights, leading to better health outcomes.
Personalized Physical AI
With seven patents granted, our AI builds a comprehensive, patient-centric model based on each individual’s unique biometrics. Each patient’s baseline is like a fingerprint with countless variations, which makes analyzing trends too complex and difficult for a human being alone. With our AI agent analyzing 10,000s of data points on-demand, care teams are able to use Caspar’s unique and valuable insights to provide the right care to those who need it most, when they need it.
Our solution is passive and does not require cameras or wearables, instead using existing passive contactless radar & wifi-based sensors to get vitals and 3D behavioral data.
AI Agent for Care Workflows
Our AI detects 20 health & wellness markers, including sleep quality, cardiac & respiratory trends, bed exit/imminent fall, pressure scores, and restlessness. These insights and alerts are made available as an AI co-pilot into existing workflows like EHRs, apps and nurse call systems.
Our scores and alerts are easy for staff to interpret, allowing them to independently review the basis of our AI recommendations. Alerts are designed to auto-adapt to different environmental conditions, improving accuracy and reducing alert fatigue.
Care Team Collaboration for Better Outcomes
Our AI agent has already detected over 20,000 incidents/insights in facilities and homes across the US and and has helped staff reduced detection times significantly (up to 10X).
Caspar’s physical AI continues to train and improve over time with ongoing staff feedback across large populations, as well as from analyzing longitudinal trends for each individual over time.
How It Works
24/7 Data Ingestion
Our Cloud APIs ingest data from ambient sensors, EHR/EMR, and client platforms.
Cloud AI Plugin
Our patient-centric AI agent builds whole-person models to identify preventative health markers.
API & Dashboard
We deliver AI-driven reports as PDFs in the form of Care Plan Reports, or via our Dashboard & API.
Let's talk about your goals
Your monitoring team gets relevant alerts, reducing alert fatigue while optimizing patient care.