Research & clinical trials
Repeatable movement endpoints across sites and visits.
For research environments, GaitAI can use ClinicalTrials for protocol-based measurement, WalkScan as the capture instrument and WatchCare for continuous digital gait measures where the protocol includes wearables.
The operational problem
Pharma and CROs need objective, exportable movement endpoints across study cohorts.
Why current workflows fall short
Human-movement endpoints are expensive and inconsistent to standardise across visits and sites — every study rebuilds its own capture, QC and export pipeline.
Recommended GaitAI product mix
Standardized movement outputs for research workflows.
Provides measurable gait and movement outputs for research studies, trials and device-evaluation workflows.
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.
Continuous movement intelligence from the wrist.
Combines smartwatch, mobile and wearable sensor data to estimate daily mobility and activity patterns, gait variability and longitudinal fall-risk indicators for clinician, caregiver or remote-care review.
Example workflow
- 01Capture protocol defined per study
- 02Sites capture protocol-guided walks per visit
- 03Every capture passes QC before entering the dataset
- 04Participant trajectories accumulate across visits
- 05Cohort exports feed the study's statistical pipeline
Expected operational outputs
Digital gait/mobility endpoints, cohort analysis and exportable study data.
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.