CORA is an autonomous AI-powered bedside assistant that combines robotics, multimodal sensing, and conversational intelligence to support patients and extend the reach of clinical teams.
Workforce shortages, rising patient acuity, and mounting documentation pull clinicians away from patients. Existing tools each solve only part of the gap.
Can communicate with patients, but has no physical presence to act at the bedside.
Observes patients continuously, but cannot interact meaningfully or respond.
Navigate clinical spaces to move supplies, but lack understanding of patient condition or context.
Routine bedside tasks still require direct staff involvement โ driving burnout and staffing strain.
CORA unifies four capabilities that have never lived in a single clinical system โ so it can safely operate in real hospital environments and genuinely assist care teams.
Navigates hospital environments independently using ROS2-based navigation and SLAM to reach patients when needed.
Perceives its surroundings and patient state through RGB-D cameras, LiDAR, and environmental sensors.
Engages patients naturally โ check-ins, symptom assessment, orientation, education, and communication support.
Runs local large language models on NVIDIA Jetson platforms, keeping sensitive patient data private by design.
Where point solutions stop, CORA continues โ combining presence, perception, and understanding.
CORA has been developed and evaluated in controlled environments, demonstrating reliable navigation, patient-facing conversation, multimodal perception, and privacy-preserving local inference.
Available as a Robotics-as-a-Service platform โ hardware, software, maintenance, and ongoing AI updates under an annual subscription.
We're partnering with health systems and academic medical centers on early deployments. Request a briefing to see CORA in action.