Precision prosthetic matching — powered by machine learning.
AI Matching recommends optimal prosthetic configurations from a catalogue of 1,000+ devices across 20+ manufacturers — combining clinical data, functional assessment, and historical outcomes into a ranked, explainable recommendation.
From clinical data to a ranked recommendation.
A single, explainable pipeline — every recommendation can be traced back to the clinical factors that produced it.
Clinical data
Functional assessment (K0–K4 — the clinical mobility classification scale), activity level, residual limb characteristics, and patient goals.
ML model
Random Forest + SHAP, scoring the full 1,000+ device catalogue against the patient profile.
Top recommendations
Ranked, explainable shortlist for the clinician to review, discuss, and confirm with the patient.
One matching engine, four stakeholders.
Patients
A configuration matched to lifestyle and goals, not just availability — discussed and confirmed with their clinician.
Clinicians
An explainable, evidence-backed shortlist that supports — never replaces — clinical judgment.
Manufacturers
Manufacturer-neutral exposure inside clinical workflows, embedded via B2B licensing.
Insurers
Evidence-based matching documentation that supports reimbursement and actuarial risk review.
Built to be explainable, licensed to scale.
AI Matching is licensed B2B on an annual basis to clinical networks and prosthetic manufacturers — embedded directly into existing clinical workflows rather than sold as a standalone consumer product.
Every recommendation is paired with SHAP-based explainability, so clinicians can see which clinical factors drove the ranking — not just the output.
Interested in licensing AI Matching?
Whether you're a manufacturer, clinical network, or insurer — let's discuss fit and licensing terms. We respond within 48 hours.