MotionArc is an AI-powered movement analysis platform that uses computer vision to quantify patient movement through any standard camera—laptop, tablet, or smartphone—without requiring sensors or wearables. The system maps 114 body points in real time, automatically counting repetitions, detecting postural imbalances, and generating structured clinical documentation. It serves physical therapy clinics, health systems, medical device manufacturers, and corporate wellness programs seeking objective, scalable movement assessment.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional movement assessment in physical therapy and rehabilitation relies on subjective visual observation, manual goniometry, and time-consuming documentation. Clinicians often miss subtle compensatory patterns and asymmetries that the human eye cannot reliably detect, while patients lack objective feedback on form and progression between visits. This precision gap limits treatment efficacy, slows recovery, and creates documentation burdens that reduce time spent with patients.
Solution
MotionArc provides a browser-based, computer-vision platform that quantifies movement using any camera-equipped device—laptop, tablet, or smartphone—with no hardware, sensors, or downloads required. The AI maps 114 body points in real time, automatically counting repetitions, measuring range of motion, and detecting postural sway, joint asymmetry, and compensatory movement patterns during live sessions. Adaptive coaching delivers visual and audio cues to correct form and adjust intensity, giving patients real-time feedback equivalent to having a clinician present. The platform automatically generates structured clinical documentation including rep counts, ROM data, stability scores, and progress trends, ready for EMR integration. All processing occurs at the edge, meaning no video is stored or transmitted, ensuring HIPAA and GDPR compliance while preserving patient privacy.
Target Audience
Primary customers include physical therapy clinics, rehab centers, health systems and hospitals, medical device manufacturers, corporate wellness programs, payers, and digital health platforms seeking objective movement analysis and remote monitoring capabilities.
Features
- Real-time computer vision analysis mapping 114 body points through any standard camera without sensors, wearables, or downloads
- Automatic repetition counting and form-breakdown detection with instant patient feedback during sessions
- AI measurement of postural sway, joint asymmetry, and compensatory movement patterns including lateral trunk shift and knee valgus
- Automated clinical documentation generation with rep counts, ROM data, stability scores, and progress trends ready for EMR attachment
- Edge processing architecture that stores or transmits no video, ensuring HIPAA and GDPR compliance
- White-label customization and embeddable API components for digital health platforms and patient portals
- Scientifically validated accuracy benchmarked against gold-standard motion lab systems