Programmes built for
competitive funding.

Extends the clinically validated MAI Motion platform into a multi-modal diagnostic framework, combining AI-driven 3D motion analysis with anatomical MRI insight to generate interpretable digital biomarkers and enable earlier stratification of knee osteoarthritis. Architected for regulatory progression as a Class II medical device deployable on standard mobile devices.

Motion + MRI digital biomarkers on a Class II medical device pathway

A surgical-planning research concept designed to bring real-world movement into the pre-operative assessment of knee replacement. Uses MAI Motion to derive a digital kinematic signature from markerless 3D capture and translate it into personalised alignment insight — an approach the programme describes as Real-Life Kinematic Alignment.

Digital kinematic signature for pre-operative planning, TRL 4 to 6 in 12 months

Developed with AI researchers at the University of Exeter, bridging the structural–functional divide through deep-learning MRI segmentation and motion-derived biomarkers. A working prototype has demonstrated feasibility at TRL4, with development advancing toward a Class IIa medical device pathway.

Working prototype at TRL4 with the University of Exeter, Class IIa pathway

A proposed 12-month, non-interventional study for the Royal College of Surgeons of Edinburgh, testing whether the n-u Motion Waveform Rating Scale — six named patterns read from markerless motion traces — corresponds to clinically meaningful differences in knee function and alignment behaviour.

Six waveform patterns tested against knee function over 12 months

A six-month Keep Clinic feasibility programme proposed to Innovate UK Growth Catalyst, fusing smartphone motion analysis with MRI-derived structural features to stratify knee osteoarthritis before irreversible damage appears on imaging.

Smartphone motion plus MRI features to stratify knee OA before imaging damage

A 30-month five-partner programme with the University of Leeds, KAIST, Incheon National University and MCell, embedding strain-triggered colour-change OLED into smart clothing so MAI Motion can read force as light across the whole limb rather than at fixed joint points.

Strain-triggered OLED clothing read as force by MAI Motion across the whole limb