Robbie AI

Robbie AI develops a computer-vision platform for healthcare settings that turns standard cameras into sensors for continuous, ambient patient monitoring. The system analyzes face mesh points, body language and behavioral trends to detect distress, movement patterns and fall risk in real time, and issues predictive, action-focused alerts to care teams before falls, behavioral incidents or deterioration events occur. The company positions the product as applicable across acute care hospitals, behavioral health facilities, skilled nursing, home healthcare and assisted living, citing support for nine facility types from a single platform [0][3].

Privacy is a central design element: data is de-identified in under five milliseconds, video and images are not stored by default (storage is optional and facility-controlled), and the company states that data never leaves the facility and that alerts reach nurses without humans in the loop. The platform is described as HIPAA compliant, with real-time dashboards and charting, optional EHR integration on request, rapid notifications to computers, phones, watches and tablets, and plug-and-play deployment requiring minimal IT involvement [0][3].

Earlier descriptions of the company frame it more broadly as a deep learning company that measures and predicts human emotions and behavior using computer vision and wearable sensing of autonomic nervous system activation, including potential applications in artificial tutoring and mental-health outcomes [2]. A Techstars company listing characterizes Robbie as an AI-driven computer vision platform to prevent fall-related patient injuries, predict delirium early in inpatient populations, and support remote care management at home [4].