HealthcareAI Engineers On Demand24 weeks
A US physiotherapy platform needed to let patients complete exercises at home while clinicians evaluated their form remotely, but real time human movement analysis through a webcam was a specialized AI challenge outside the team's core domain. They brought in AI engineers who built a movement analysis system that watches patients through their own cameras and grades every repetition against clinical rules on the spot.
60 FPS
Processing Speed
30 hours
Weekly Time Recovered
3x capacity
Patient Volume

“We needed specialized AI talent fast, and they delivered people who were ready to work from day one.”
Mary Davis
VP Information Technology, Motion Clinic
Before
Clinicians present for every session, Manual exercise form evaluation, Spreadsheet based clinic billing
After
Patients exercise from home, Automated real time movement scoring, Usage based automated invoicing
Narrative
The Challenge
A 5-minute movement check shouldn't eat a full appointment slot, but that's what was happening. Clinicians had to be in the room for every rep of every exercise, capping each one at 6 to 8 patients a day. Referrals were piling up, schedules were full, and there was no way to evaluate patient form without physically being there.
What We Built
The founding team needed computer vision expertise they didn't have in-house, so they brought in on-demand AI engineers. The system uses the patient's own device camera to map 32 points across their body during exercise. Each rep gets scored against rules the clinician defines, the same criteria they'd apply standing in the room. Processing runs at 60 frames per second on desktop with no perceptible delay.
Results
Clinicians went from 6 to 8 in-person sessions a day to reviewing over 20 patients remotely. The bottleneck was physical presence, and the platform removed it. A mid-sized clinic recovered about 30 hours a week previously lost to travel and scheduling overhead. The 32-landmark tracking gives clinicians more movement detail than in-person observation, where you're stuck with one angle. Within two quarters the platform had paid for itself, with billing shifted from "clinician is in the room" to "clinician reviews movement data.
Technical proof
Implementation details and the stack behind the delivery.
Implementation highlights
Key engineering decisions from this project.
Stack snapshot
Tools and platforms used in the delivery.
Related stories

Replacing 20-Hour Document Reviews with 15-Second AI Agents
Extraction Accuracy
Processing Time Reduction
Pages Processed Annually

Turning Weeks of Manual Audits into 4-Hour Scans
Exploitation Incidents
False Alert Rate
Weekly Compliance Hours
Tell us about your workflow, and we will map out what AI can automate.