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AI that powers smarter, data-driven movement analysis.

SmartanAI blends computer vision, biomechanics, and data analytics to bring insights to every rep, stretch, and stride.

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01 The problem

Rehab after surgery happens at home, out of sight.

Once a patient is discharged, the exercise programme that decides how well they recover is done alone, between clinic visits. Doctors can't see whether sessions happen or whether they're done correctly, and patients lose momentum without anyone noticing until the next review.

One patient, at home
Seen by the care team: none of it. One patient's home programme: on day 3 a straight-leg raise done well, 10 of 10 reps; on day 9 the knee bends and the leg stops short, 6 of 10 reps; on day 16 the session is skipped. The next clinic review is on day 28. Non-adherence to physiotherapy exercise can be as high as 70%, and is often worst in unsupervised home programmes.

02 What we do

Smartan keeps the care team connected to every home session.

Smartan helps doctors monitor recovery remotely, and helps patients stay consistent with the rehab programme they were prescribed.

  • Completed
  • Flagged for review
  • Missed
  • Clinic review
Six weeks, with Smartan. Every home session is visible, including the missed ones, and the two that need a closer look are flagged.

For doctors: see every session, not just the review

Each home session arrives scored and summarised, so you know who is on track, who is slipping, and which movement needs attention before the next appointment.

For patients: a programme they can keep up

Patients follow each exercise with their therapist's recorded guidance and get clear feedback after every set, so staying on schedule feels manageable rather than lonely.

03 How it works

A phone camera, a vision model, and the clinician's own rules.

Patients record their exercises on an ordinary phone at home. Our vision models track how each joint moves, rebuild the movement in 3D, and check every frame against the rules their clinician set.

1 · Record
Today's plan in the Smartan app: three exercises to film and a Start button
A Calf Raise set replayed rep by rep, with a moderate-risk moment marked on the movement trace
The patient's movement rebuilt on a 3D avatar, with tracked keypoints on each joint

Rebuilt in 3D, viewable from any angle

Form score for a Calf Raise set, rep by rep, with each fault named and the reps it appeared in
A dated list of every session, each with a trend line

  1. Record

    The patient films the set on their phone, following the plan their clinician set. No sensors, wearables or markers.

  2. Track

    More than 30 body keypoints are found in every frame of the video, so each joint's movement is followed through the whole set.

  3. Rebuild

    The keypoints are fitted to a 3D body, so the session can be replayed on an avatar and viewed from any angle.

  4. Score

    Every rep is scored against the prescribed movement and the patient's own baseline, and each fault is named with the reps it appeared in.

  5. Flag

    Every session is logged, and only the ones that need the clinician's attention are flagged.

What the clinician sees

Each home session arrives rebuilt on the avatar and scored frame by frame, with the moments that need attention marked on the timeline.

Clinician dashboard
  • Video to avatar. The patient's phone clip, top left, rebuilt on a 3D body the clinician can turn.
  • A marked timeline. Red marks what must be corrected, orange what to keep an eye on.
  • A score for every frame. With the measurements behind it: angles, heights and holds.

04 In summary

What makes home rehab measurable

Eight parts, working together.

  • Markerless tracking

    30+ body keypoints from ordinary phone video. No sensors or markers.

  • 3D body model

    Each session replayed on an avatar, viewable from any angle.

  • Per-frame scoring

    Every frame scored at 25 fps, joint by joint, across the whole set.

  • Joint-level risk

    Three severity levels show which joint failed, and when.

  • Personal baseline

    Progress measured against the patient's own clinic values.

  • Compensation detection

    Asymmetry, guarding and fatigue flagged as they appear.

  • Exception-based review

    Only patients whose movement changed are flagged.

  • Clinician voice guidance

    Patients hear their own therapist's recorded cues.

05 Founders

Our Founders

The Smartan founding team blends expertise across sports rehabilitation, movement science, AI engineering, and clinical operations.

Arunesh Raja
Co-Founder and Chief Executive Officer

With a strong foundation in engineering and a deep commitment to accessible care, Arunesh leads Smartan with a focus on measurable recovery. His mission? To give every clinician sight of the days they can't be in the room. From gym floors to clinic floors, Arunesh thrives on solving problems and building smarter recovery journeys

Sanjay Thiyagarajan
Co-Founder and Chief Technology Officer

Sanjay is a multi-talented builder who combines operational precision with creative insight. After founding a mental health startup, he moved into health technology to reimagine how clinics monitor progress and how patients stay engaged with their plans. His work is powered by curiosity, campus innovation, and a passion for creating impact.

Bring Smartan to your rehab programme

We are working with hospitals and rehab teams on their first home-monitoring programmes.

Talk to our team