Physiotherapy clinics
Objective movement evidence for every therapy plan.
For physiotherapy environments, GaitAI can turn routine walking checks into structured assessments: WalkScan captures the baseline, RehabTrack tracks recovery across sessions, and SportsMotion covers athletic caseloads.
The operational problem
Therapists need objective evidence that therapy is working — beyond subjective observation.
Why current workflows fall short
Visual observation and occasional stopwatch measurements are hard to compare across visits and therapists, so genuine progress — or quiet stagnation — is easy to miss.
Recommended GaitAI product mix
Turn a walking video into a clinician-ready movement report.
Analyzes a short walking video and turns it into gait and mobility metrics — ready as a downloadable PDF.
Show objective movement change across recovery.
Compares movement across therapy sessions to make rehabilitation progress visible and motivating for both clinician and patient.
Athlete movement, asymmetry and fatigue — measured.
Analyzes walking and running mechanics to surface asymmetry, imbalance and fatigue-related change, supporting return-to-play review with longitudinal movement evidence.
Example workflow
- 01Baseline WalkScan at intake
- 02Therapy sessions proceed as usual
- 03Short reassessment walk at review visits
- 04RehabTrack compares sessions and highlights unresolved asymmetry
- 05Report added to the patient record and shared with the patient
Expected operational outputs
Objective gait reports, rehabilitation progress and measurable movement comparison.
Privacy & responsible use
Designed to support consent-based capture, encrypted transfer, configurable retention and role-based access, with activity logging and skeleton-only processing modes. Deployment requirements depend on the applicable environment, organization and jurisdiction. Privacy-aware architecture does not automatically mean anonymity: pose, gait and trajectories may still carry identifying information. GaitAI outputs are AI-generated movement metrics intended as decision support — they do not diagnose medical conditions and do not replace clinical judgement.