CAPTUREPROOF Information

CaptureProof is an AI-powered visual health platform transforming smartphone video into clinically actionable insights through computer vision, machine learning, and visual biomarker analysis. Our technology enables healthcare providers, researchers, and pharmaceutical organizations to objectively assess movement, mobility, and disease progression using standard mobile devices — creating scalable, longitudinal “visual endpoints” for healthcare and clinical research. CaptureProof supports applications across: • Fall risk and frailty assessment • Gait and mobility analysis • Parkinson’s disease and ALS monitoring • Stroke and rehabilitation tracking • Remote patient monitoring • eCOA/ePRO and decentralized clinical trials Our proprietary AI analyzes metrics such as gait speed, sway, cadence, turning velocity, balance, and sit-to-stand performance to help identify clinically meaningful changes earlier and more objectively. CaptureProof is currently deploying its AI-powered Balance Scan technology in Singapore through the CHISEL Healthcare Innovation initiative in partnership with the National University Health System (NUHS), supporting scalable fall-risk detection and aging-in-place strategies. Designed to be device-agnostic and workflow-friendly, CaptureProof integrates into both clinical and community settings, enabling more accessible, scalable, and patient-centered care. Our mission is to build a more visual, objective, and continuous model of healthcare through AI-driven analysis of real-world human movement.