Personalised Rehab,
From Clinic to Home
AxonAI uses computer vision to deliver objective, quantified gait and motor function assessments for stroke patients — automatically generating personalised rehabilitation plans that improve clinical outcomes.
PROBLEM
Four Critical Barriers
in Stroke Rehabilitation
Over 100,000 people have a stroke in the UK each year. Demand for rehabilitation is immense — yet the limitations of current assessment systems severely constrain the quality of care delivered.
Subjective Assessments Lack Consistency
Traditional rehabilitation evaluations rely heavily on clinician experience and subjective judgment. Results vary significantly between assessors, making it impossible to establish reproducible, traceable objective baselines.
Manual Assessments Are Time-Consuming
Manual gait analysis and functional assessments take 30–60 minutes per patient. With high patient volumes, therapists cannot provide deep, individualised evaluations for everyone on their caseload.
Poor Patient Adherence Stalls Recovery
Without continuous quantified feedback and motivation outside the clinic, patients frequently abandon their rehabilitation programmes — halting recovery progress and worsening long-term outcomes.
Data Silos Prevent Progress Tracking
Rehabilitation data is scattered across paper records and disconnected systems. Clinicians and administrators cannot form continuous patient profiles or objectively evaluate treatment efficacy and departmental performance.
SOLUTION
From Video to Insight — End-to-End AI
AxonAI deeply integrates computer vision with clinical knowledge to build a complete closed-loop — from data capture to personalised plan generation.
Clinical-Grade Assessment
with a Standard Camera
No wearable sensors or specialist equipment required. Using standard video, AxonAI performs full-body joint tracking and gait analysis — automatically extracting 17 key skeletal landmarks and computing gait parameters in real time.
AI-Driven,
Tailored to Every Patient
Based on assessment results and patient history, the system automatically generates a personalised rehabilitation plan specifying exercise type, intensity, and frequency — dynamically adjusting as the patient progresses.
PRODUCT DEMO
3 Minutes from Video to Professional Report
No specialist training required. Therapists can independently complete a full gait assessment and plan generation workflow from the very first session.
Upload Patient Video
Supports standard video from smartphones, tablets, or hospital cameras
AI Automatic Analysis
Computer vision model extracts gait parameters and generates a quantified assessment report
Receive Rehabilitation Plan
Personalised training programme generated instantly — export as a PDF report
Video to Full Report
Skeletal Landmarks Tracked
Clinical Assessment Consistency
Reduction in Therapist Workload
TESTIMONIALS
Voices from the Clinical Front Line
AxonAI reduced our gait assessment time from 45 minutes to under 5 minutes. The objectivity of the reports improved dramatically, and our therapists' workload has decreased noticeably.
Head of Rehabilitation, NHS Trust
Neurological Rehabilitation · Consultant Physician
The personalised plans generated by the system align closely with our clinical experience, and the ability to track patient progress in real time has been invaluable for improving adherence.
Senior Physiotherapist
Rehabilitation Therapist · 10 Years Clinical Experience
As a department manager, AxonAI gave me the ability to evaluate treatment outcomes with data for the first time — providing an objective basis for resource allocation and performance review.
Director, Rehabilitation Centre
Healthcare Institution Administrator
CREDIBILITY
World-Class Team,
Clinical-Grade Validation
Our team brings together expertise from Imperial College, Google DeepMind, and Boston University, deeply integrating clinical medicine with cutting-edge AI technology.
Fatima Al-ani
Co-founder & CEO
Neurorehabilitation · Computer Vision
Molly Wang
Co-founder & CTO
Deep Learning · Pose Estimation
Jevon Charles
Chief Medical Officer
Software Engineering
NHS PARTNERSHIPS
King's College Hospital NHS Foundation Trust
Clinical Partner
Imperial College Healthcare NHS Trust
Pilot Validation
University College London Hospitals
Data Partnership
Oxford University Hospitals NHS Trust
Research Collaboration
GET STARTED
Join the AxonAI
Pilot Programme
We are currently partnering with a select group of NHS rehabilitation departments for our clinical pilot. Apply now to get early access and shape the product alongside our team.
Free Pilot Period
Full access to all features at no cost during the pilot phase.
Dedicated Implementation Support
Our clinical team provides on-site or remote onboarding and training.
Co-development Opportunity
Pilot partners directly influence product roadmap and feature priorities.
Research Collaboration
Joint publication opportunities with our academic research team.