For physical therapy and rehabilitation

Physical therapy's
extended arm.
Direct to the patient's home.

SCANETO is developed so patients can perform their exercises and rehabilitation at home — using the camera on their own phone — while clinicians receive clinical insights into movement quality in return. No suits, sensors, or specialized hardware.

The majority are not performing home-exercises correctly two weeks after their initial instruction
Faber M et al. PeerJ, 2015

Developed

for clinicians

Clinically

grounded

Best

in class

SCANETO vs. the market

Not all movement analysis is created equal.

Capability

SCANETO

Fitness apps

Generic rehab platforms

Movement quality score

Partial

Patient profile-based analysis

Validated against gold standard

Some

EU MDR Class IIa — Application Fulfilled

Rare

Runs from patient's own phone

Partial
Partial

Closed AI environment (IBM watsonx) — no ChatGPT/Claude

Compensation pattern detection

Rare

Gamification for patient (streaks, quality score)

Partial
Some

Based on publicly available product documentation · June 2026

Three core pillars

Home exercise.
Precision.
Personalized analysis.

01

Home exercise as an extended arm

Patients exercise at home using the camera on their phone — no external equipment required — and the clinician receives clinical insight into movement quality in return. We do not replace physical therapists; we extend their reach into the patient's home and open home exercise's black box.

02

Clinical precision

Our analysis is rooted in peer-reviewed research and validated against the laboratory gold standard for movement analysis. It is not a fitness feature — it is a clinical instrument.

03

Personalized from the first frame

SCANETO incorporates the individual patient's profile into the analysis. Two patients performing the same exercise will not receive the same evaluation, because their bodies, diagnoses, history, and goals are not identical.

Patient motivation

Built so patients actually want to exercise again tomorrow.

A physical therapist's best program doesn't help anyone if the patient never completes it. That is why SCANETO is designed with patient motivation at its center — using game mechanics familiar from digital habits, translated into a clinical context.

01

Streaks

Daily streaks build habits. Patients can see their consistency — and breaking it comes with a cost.

02

Quality score

Every session earns a clinical quality score that patients understand. It is not just 'completed' — it is 'how well'.

03

Points and milestones

Progress is made visible through points, badges, and milestones tied to the patient's rehabilitation goals.

first clinical evidence that on-device AI pose estimation enables facility-independent resistance training
Heo S, Choi T, Choi W. Healthcare, 2026

Differentiation

We open home exercise's black box.

Most rehabilitation doesn't happen in the clinic — it happens at home, between consultations. And historically, physical therapists have been blind to what happens there. Once patients walk out the door, visibility vanishes: Are they exercising? Are they doing it correctly? Is movement improving or worsening? Home exercise has always been a black box.

At home with the patient

Patients train using the camera on their phone; the physical therapist sees how things are actually going and can adjust treatment based on objective data.

Clinical evaluation

Other apps count repetitions and remind patients to exercise. SCANETO evaluates movement quality, making home exercise an integral part of treatment.

No studies assessed ... quality of exercise (accuracy of movement)
Jarallah M et al. BMC Sports Sci Med Rehabil, 2025

AI foundation

Why we don't use ChatGPT or Claude.

Readily available, general language models — such as ChatGPT or Claude — are built for breadth, not clinical precision. They hallucinate, their responses are not reproducible, and their training data is neither curated nor traceable to clinical evidence. That is unacceptable in a medical instrument.

Instead, SCANETO runs in a controlled, closed AI environment on IBM watsonx — with curated clinical datasets, deterministic output, full traceability, and the data security required by the healthcare sector. This is what makes SCANETO a clinically grounded device, not a chatbot.

Controlled

Closed AI environment. No unknown models. No data leaks.

Traceable

Every assessment is traceable to clinical evidence and curated datasets.

IBM watsonx

Enterprise foundation for AI in healthcare — built for compliance.

See full technology

Technology partner

Clinically precise movement engine. Ready to build on.

We capture details and data points that no other market player detects. Clinics, healthcare platforms, and equipment manufacturers can partner with SCANETO to build their own practitioner solutions on a clinically precise movement engine.