Clinical
Smartphone-Based Fall Risk Assessment
Predictive validity of smartphone gait metrics for fall risk in older adults.
J. Gerontology '24
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Trusted by 500+ Healthcare Providers
The future of movement analysis is here
Transform any walking video into clinical-grade gait analysis. Powered by AI that understands human movement like never before.
HIPAA Compliant
99.2% Accuracy
No Hardware Required
Platform Metrics
Numbers that speak for themselves
Clinically validated accuracy with real-time processing power.
0%
Clinical Accuracy
Validated against gold-standard pressure sensor mat
0K+
Analyses Completed
Gait assessments across all deployments
0s
Processing Time
6s video analyzed in under 6 seconds
0
Active Deployments
5 hospitals + 1 senior care facility
Trusted by leading institutions
Hospital Systems
Senior Care
Research Labs
Universities
Simple Upload
Any camera.
Any angle.
Zero setup.
Upload walking videos directly from smartphones, tablets, or professional cameras. Our AI adapts to any viewing angle and lighting condition.
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MP4, MOV, AVI and all major formats
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Works with any smartphone camera
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No markers or calibration needed
Upload Demo Video
Analyzing frame 847 of 1200
71%
AI-Powered
Deep learning that sees
what the eye cannot.
Our proprietary neural networks extract precise 3D pose data from 2D video, analyzing over 30 gait parameters in real-time.
33
Body keypoints
60fps
Processing speed
+/-2deg
Angle accuracy
3D
Spatial analysis
Clinical Reports
Publication-ready reports
in minutes, not hours.
Generate comprehensive PDF reports with detailed visualizations and evidence-based clinical recommendations.
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Customizable report templates
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Normative data by age and gender
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Longitudinal tracking charts
Gait Analysis Report
Patient Assessment #1247
Gait Speed
1.2 m/s
Normal range
Stride Length
1.4 m
Below average
And More
Everything you need.
Nothing you do not.
3D Visualization
Interactive 3D skeleton viewer with rotation and frame-by-frame playback.
HIPAA Compliant
Enterprise-grade security with encryption at rest and in transit.
Developer API
RESTful API for seamless integration with EMR systems.
How It Works
Three steps to insights
From video capture to clinical analysis in under 30 seconds.
1
Upload Video
Record a walking video with any smartphone camera. Upload through our web app or mobile application.
5-10 seconds
2
AI Analysis
Our neural networks extract 3D pose data and calculate 30+ gait parameters with clinical precision.
~6 seconds
3
Get Results
Receive detailed reports with visualizations, normative comparisons, and clinical insights.
Instant
Total time
Under 30 seconds
Technology
Powered by
Powered by
cutting-edge AI
Proprietary deep learning models trained on millions of movement samples.
3D Pose Estimation
State-of-the-art models lift 2D video to accurate 3D skeletal data without markers or depth cameras.
Gait Parameter Extraction
Automatically calculate stride length, cadence, joint angles, symmetry indices, and 30+ parameters.
Clinical Intelligence
ML models trained with clinical expertise to identify abnormalities and suggest areas of concern.
Research
Built on science.
Our technology is grounded in peer-reviewed research and clinical validation.
Peer Reviewed
Markerless 3D Gait Analysis Using Deep Learning
Our research demonstrates markerless video-based gait analysis achieves comparable accuracy to gold-standard optical motion capture systems.
98.7%
Correlation
N=247
Subjects
2024
Published
Publications
Validated by experts.
Our work has been published in leading journals and conferences.
Deep Learning
View-Invariant 3D Pose Estimation
Accurate 3D skeletal data from single-camera regardless of viewing angle.
CVPR 2023
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Rehabilitation
Remote Post-Stroke Gait Monitoring
Home-based video gait monitoring for tracking stroke recovery progress.
Stroke 2023
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Performance
Real-Time Edge Device Inference
60fps pose estimation on mobile while maintaining clinical accuracy.
NeurIPS 2023
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Population
Normative Gait Parameters Study
Reference ranges for gait parameters across age and gender demographics.
Gait & Posture '24
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Parkinson's
AI Detection of PD Gait Patterns
Early Parkinson's detection from subtle gait abnormalities in walking video.
Nature Med. '24
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Research collaboration?
Contact team
Transparent Pricing
Pay for what you use, save when you commit
Start with pay-as-you-go pricing or subscribe for volume discounts. All plans include our full AI gait analysis engine.
Per analysis:
$0.25
Per API call:
$0.010
Per PDF report:
$0.10
Pay As You Go
No commitment. Pay only for what you use with transparent per-analysis pricing.
$0
/ month
- $0.25 per gait analysis
- $0.010 per API request
- $0.10 per PDF report
- 4 free analyses ($1.00 welcome bonus)
- Up to 10 analyses per hour
- 50 analyses per day
- 500 analyses per month
- 3-day video retention
- Email support
Most Popular
Professional
For clinicians and practices. Prepay for volume and save 30%.
$350
/ month
Save $150.00/mo vs pay-as-you-go
- 2,000 analyses included
- $0.1750 effective per analysis
- 30% savings vs pay-as-you-go
- Free PDF report generation
- Up to 100 analyses per hour
- 1,000 analyses per day
- 10,000 analyses per month
- 30-day video retention
- Patient management
- Priority support
Best Value
Developer
Full API & SDK access for teams building movement analysis integrations.
$750
/ month
Save $500.00/mo vs pay-as-you-go
- 5,000 analyses included
- $0.1500 effective per analysis
- 40% savings vs pay-as-you-go
- Free PDF report generation
- Up to 500 requests per hour
- 5,000 analyses per day
- 50,000 analyses per month
- 90-day video retention
- REST API & SDK access
- Webhook integrations
- Batch processing
- Dedicated support
Need enterprise-scale analysis?
Unlimited analyses, dedicated infrastructure, custom SLAs, and HIPAA BAA. Up to 10,000 requests per hour with no daily or monthly caps. Custom volume pricing available.
HIPAA Compliant
SOC 2 Type II certified
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Start analyzing immediately
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Join hundreds of healthcare professionals who are already using AI-powered gait analysis to deliver better patient outcomes.
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