XR-AI Care provides an extended reality platform that overlays AI assistance onto clinicians' workflow, capturing visual, audio, sensor, and EMR data in real time to create a multimodal context for each care moment. Its AI co‑pilot proactively suggests next‑best actions, automates documentation, and learns continuously, delivering hands‑free guidance through XR glasses while adhering to privacy‑first, consent‑driven design.
Funding
Funding not disclosed
Founders
Product
Problem
Clinical teams, pharmacists, and care trainers often operate in high‑stress environments where fragmented information, manual documentation, and limited real‑time guidance increase the risk of errors and contribute to burnout.
Solution
XR‑AI Care offers an extended reality (XR) platform that overlays artificial‑intelligence assistance onto clinicians’ workflow. By capturing visual, audio, sensor, and electronic medical record (EMR) data in real time, the system builds a multimodal context of each care moment. An AI co‑pilot analyzes this context and proactively surfaces next‑best‑action recommendations, helping users avoid mistakes before they occur. The platform delivers these insights through XR glasses or compatible devices, enabling hands‑free interaction and reducing documentation load. Continuous learning mechanisms refine the AI models from each interaction, improving accuracy and workflow efficiency over time. Privacy‑first design ensures data minimization, consent management, and compliance with healthcare regulations. The solution is packaged for clinical teams, pharmacy operations, and care‑team training programs.
Target Audience
Primary customers are hospital and clinic clinical teams, pharmacy departments, and organizations that provide simulation‑based training for healthcare professionals.
Features
- Real‑time multimodal data fusion (vision, speech, sensor, EMR) to create a complete situational model
- AI‑driven proactive co‑pilot that suggests next‑best actions and alerts to potential errors
- Hands‑free XR interface via smart glasses delivering contextual overlays and voice‑controlled commands
- Automated documentation orchestration that captures and populates EMR fields during care activities
- Adaptive AI agents that learn from each interaction to continuously improve recommendations
- Privacy‑first architecture with consent‑driven data capture, minimal storage, and end‑to‑end encryption