Smartphone-Based Fall Risk Assessment
Predictive validity of smartphone gait metrics for fall risk in older adults.
Transform any walking video into clinical-grade gait analysis. Powered by AI that understands human movement like never before.
Clinically validated accuracy with real-time processing power.
Trusted by leading institutions
Upload walking videos directly from smartphones, tablets, or professional cameras. Our AI adapts to any viewing angle and lighting condition.
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Our proprietary neural networks extract precise 3D pose data from 2D video, analyzing over 30 gait parameters in real-time.
Generate comprehensive PDF reports with detailed visualizations and evidence-based clinical recommendations.
Interactive 3D skeleton viewer with rotation and frame-by-frame playback.
Enterprise-grade security with encryption at rest and in transit.
RESTful API for seamless integration with EMR systems.
From video capture to clinical analysis in under 30 seconds.
Record a walking video with any smartphone camera. Upload through our web app or mobile application.
Our neural networks extract 3D pose data and calculate 30+ gait parameters with clinical precision.
Receive detailed reports with visualizations, normative comparisons, and clinical insights.
Proprietary deep learning models trained on millions of movement samples.
State-of-the-art models lift 2D video to accurate 3D skeletal data without markers or depth cameras.
Automatically calculate stride length, cadence, joint angles, symmetry indices, and 30+ parameters.
ML models trained with clinical expertise to identify abnormalities and suggest areas of concern.
Our technology is grounded in peer-reviewed research and clinical validation.
Our research demonstrates markerless video-based gait analysis achieves comparable accuracy to gold-standard optical motion capture systems.
Our work has been published in leading journals and conferences.
Predictive validity of smartphone gait metrics for fall risk in older adults.
Accurate 3D skeletal data from single-camera regardless of viewing angle.
Home-based video gait monitoring for tracking stroke recovery progress.
60fps pose estimation on mobile while maintaining clinical accuracy.
Reference ranges for gait parameters across age and gender demographics.
Early Parkinson's detection from subtle gait abnormalities in walking video.
Research collaboration?
Contact teamChoose a subscription plan for the best value, or buy credit packs for flexible pay-as-you-go usage.
Perfect for individual patients tracking their own gait health.
For clinicians and physical therapists managing multiple patients.
API access and high-volume analysis for integration partners.
Quick top-up for a few gait analyses
Balanced bundle for frequent usage
High-volume package for ongoing monitoring
Unlimited analyses, dedicated infrastructure, custom SLAs, and HIPAA BAA. Custom volume pricing available.
Join hundreds of healthcare professionals who are already using AI-powered gait analysis to deliver better patient outcomes.