Combining cutting-edge data science with biomechanical expertise to make professional-grade foot analysis accessible to everyone, everywhere.
footprint.AI was born from the intersection of two powerful disciplines: data science and biomechanics. Our founders recognized that millions of people suffer from foot-related issues that could be prevented or treated with proper analysis—but access to professional gait labs and podiatrists remains limited.
By leveraging machine learning algorithms trained on extensive biomechanical datasets, we've created a platform that brings lab-grade foot analysis directly to your smartphone. Our AI doesn't replace human expertise—it democratizes access to it.
Every algorithm we develop is validated against clinical standards and refined through collaboration with practicing podiatrists and biomechanics researchers worldwide.
Our platform is powered by extensive research and validated datasets
Comprehensive biomechanical data from diverse populations
Validated against gold-standard gait analysis systems
Collaborative network of foot health professionals
Medical device quality management standards
A multidisciplinary team of experts united by a passion for improving foot health through technology
Founder & CEO
PhD in Biomechanical Engineering from Stanford. Former researcher at Nike Sport Research Lab with 15+ years in gait analysis and wearable technology.
Chief Medical Officer
Board-certified podiatrist with 20+ years of clinical experience. Specializes in sports medicine and biomechanical analysis at leading orthopedic centers.
Lead AI Engineer
MS Computer Vision from MIT. Former ML engineer at Google Health with expertise in medical imaging and deep learning applications in healthcare.
Every AI recommendation is cross-validated against established podiatric principles and treatment protocols.
Our algorithms continuously learn from real-world outcomes and podiatrist feedback to improve accuracy.
All design corrections are grounded in peer-reviewed biomechanical research and clinical evidence.
To democratize access to professional-grade foot health analysis by combining the precision of clinical biomechanics with the accessibility of smartphone technology, ensuring that everyone can take proactive steps toward better foot health.