The Future of Biomechanical AI
Powered by our Large Biomechanical Model (LBM), our first product, MotionID, delivers proprietary biomechanical signature–based identification, immune to face visibility, masks, camera distance and angle, weather, and lighting conditions.
OUR VISION & MISSION
At MotionAnalytics our vision is to redefine identification through innovation, equipping organizations with cutting-edge biomechanical AI for reliable identification in any condition, while empowering decision-makers with unparalleled motion intelligence and predictive analytics, enhancing security and operational outcomes.
Our mission is to pioneer biomechanical signature identification, transforming video into a reliable means of identification that is immune to face visibility, masks, distance, angles, weather, and lighting. Through MotionID and our Large Biomechanical Model (LBM), we are setting a new standard for secure, scalable, and compliant solutions across defense, security, and sport.
LBM
TECHNOLOGY
Following more than two decades of academic research, we developed the Large Biomechanical Model (LBM), a true foundation model built on the atomic units of human motion. The LBM enables a wide range of applications, from analyzing sports technique for athletes, through advanced medical and rehabilitation solutions, to security, defense, and even reCAPTCHA replacement. Its modular design makes it adaptable across domains, setting the stage for the future of motion-based intelligence.
WHY US?
Discover the unique advantages of our LBM-powered technology, engineered for reliable identification in conditions where other systems fail. Completely hardware-free, it works with ordinary video from any camera, eliminating the need for sensors or wearables. By combining precision, scalability, and adaptability across multiple domains, we deliver a new standard of motion-based intelligence.
Atomic Units of Movement
At the core of our technology lies the concept of motion “atoms”, the smallest building blocks of human movement. By combining a limited set of these atomic motions, our models can represent complex actions with remarkable precision. This enables robust identification and analysis across a wide range of scenarios and environments.
Multi-Signature Robustness
Just like Lego bricks fit together in endless combinations, our modular design ensures resilience when data is incomplete. The system delivers accurate results even when individuals are partially occluded, video quality is low, or segments of motion are missing. This robustness makes it highly dependable for real-world applications.
Multi-Disciplinary Edge: Biomechanics + AI
Our approach fuses deep biomechanical expertise with state-of-the-art AI. By grounding artificial intelligence in decades of motion science, we achieve a level of accuracy and interpretability that purely data-driven systems cannot match. This synergy ensures reliable, explainable, and scalable identification.
Modeling Advantage: Biomechanical-Informed A
Unlike conventional models that require massive datasets, our biomechanical-informed AI leverages domain knowledge to reduce data needs dramatically. This results in faster training, higher accuracy, and better adaptability across conditions. The outcome is a scalable system that grows stronger with each new deployment.