We’re thrilled to announce that Model Health has won the 2025 eWEAR Health Prize from Stanford University, an award recognizing cutting-edge innovation at the intersection of wearables, AI, and healthcare.
November 12th, 2025
The eWEAR Health Prize, organized by Stanford’s Wearable Electronics Initiative (eWEAR-X), highlights early-stage deep-tech companies using advanced technologies such as artificial intelligence, brain-machine interfaces, longevity, precision health, or robotics to improve human health.
Each year, the competition brings together a select group of global startups developing transformative health technologies. The 2025 edition featured eight finalists, with Model Health taking home the top prize following a live pitch session on Stanford’s campus.
Past winners have gone on to secure funding, research collaborations, and partnerships within Stanford’s ecosystem and beyond — making this recognition a strong signal of both scientific and commercial promise.
"Winning the eWEAR Health Prize validates our vision even more: Boosting global physical health through accessible movement insights." say Antoine Falisse, CEO
Our platform translates ordinary smartphone videos into scientifically accurate movement insights, enabling sports clinics, physical therapists, and athletic trainers to analyze performance, detect asymmetries, or track rehab progress without specialized hardware.
This recognition confirms that our work sits at the frontier of digital health and wearable innovation - exactly where research and real-world impact meet.

The eWEAR Health Prize follows several milestones for Model Health in 2025, including our $1 million pre-seed round led by sports-tech investors and angels, and the rollout of our automated movement analysis platform for clinics and athletic organizations.
This award from Stanford’s eWEAR-X team strengthens our credibility with partners, investors, and research collaborators — and fuels our mission to make biomechanical insights available to everyone, everywhere.
Model Health is an automated movement analysis platform that transforms standard smartphone videos into lab-grade biomechanical insights. Built on research from Stanford University and KU Leuven, our technology empowers professionals in sports, rehabilitation, and performance to make data-driven decisions — no markers, sensors, or expensive cameras required.
The Stanford Wearable Electronics (eWEAR) Initiative brings together leading researchers and industry partners to advance the next generation of wearable technologies. Through its industrial affiliates program, eWEAR connects forward-looking companies with Stanford experts across materials science, electronics, systems engineering, data, and medical research. The initiative’s mission is to accelerate innovation in wearables by funding research, exploring emerging applications, and fostering collaborations that translate cutting-edge science into real-world products.