MedMeters is an emerging clinical measurement platform from Keepriot, an independent computer vision venture lab based in Paphos, Cyprus. Its roots are in hands-on projects involving 3D motion reconstruction, clinician-reviewed video, wearable sensors and remote body capture.
These are distinct projects developed within Keepriot or earlier initiatives. They inform MedMeters' approach; they are not presented as evidence that MedMeters itself is clinically validated.
2022—PRESENT · CLINICAL VIDEOShort home videos of infant spontaneous movement, a structured intake flow and a prototype timeline-annotation tool for specialist review. The research cohort includes 100 videos from 45 infants; clinical interpretation remains with qualified specialists.
2020—PRESENT · MOTION RECONSTRUCTIONMulti-camera 3D reconstruction of sports footage, with an approximately 65,000-line Python codebase covering camera calibration, body fitting and uncertainty checks. Its engineering addresses a hard problem shared with clinical CV: extracting meaningful movement from imperfect cameras.
2024—PRESENT · REMOTE 3D CAPTURERemote body-shape capture for individually manufactured seating inserts. Smartphone video is used in a workflow linking physical capture, 3D reconstruction and CNC manufacturing — first developed for supportive seating needs.
2024—PRESENT · VISUAL FEEDBACK RESEARCHMovement-feedback concepts exploring a patient’s own clinically set baseline, delayed side-by-side video replay and brief pain or movement-confidence ratings. The research question is whether objective progress can be made easier to see and understand.
Photographs are concept illustrations, not screenshots of deployed MedMeters clinical software. The projects linked above are independent development tracks.
MedMeters did not emerge from a single model or test. It combines several years of experimentation with sensing, clinical imaging, video analysis, and useful products outside the lab.
Cardiwear explored ECG capture through a wearable garment and remote review.
Medsnimki developed a digital imaging platform for patients and clinics.
Movekit IMU firmware and the first Fight.Vision motion-reconstruction work.
The Cyprus venture lab begins applied CV development alongside infant movement research tooling.
ScanCustom and RepCoach/CoachPad bring measurement into real-world and clinician-guided workflows.
A proposed common layer for standardized clinical assessments, repeat measurements and EHR-ready results.
Our foundations combine hands-on applied CV engineering with experience in specialist clinical-video workflows.
Cyprus-based technology founder working on computer vision, 3D reconstruction, motion measurement and sensor systems. Founder of Keepriot Ltd., with earlier experience in medical imaging, motion-sensing hardware and technology businesses.
Executive MBA with distinction from Grenoble École de Management; five years of radiophysics coursework. Earlier Cisco and Intel roles were in marketing and commercialization, not engineering.
LinkedIn profile ↗Pediatric physiotherapist and certified General Movements Assessment specialist, leading clinical interpretation and expert review in the separate ScanChild project.
Her work illustrates the clinical-review principle informing our approach: algorithms should prepare measurements and flag uncertainty; qualified specialists retain responsibility for interpretation.
MedMeters is a new product concept, not a clinically cleared medical device. No academic affiliation, approved research collaboration or independent validation is implied by the team’s earlier work.
Related rehabilitation research proposals explore whether the same movement changes between the clinic and home, and how visual comparison with a patient’s own baseline might affect confidence in movement. These are hypotheses, not established findings.
We are looking for clinical validation sites, workflow partners and healthcare platform teams.