
RealDrift provides real-time motion capture powered by deep learning on edge devices. It uses lightweight neural networks and on-device inference to capture human motion in real time. The technology targets B2B customers such as developers and enterprises requiring edge AI capabilities for motion capture. Core tech includes deep learning models optimized for edge computation and on-device processing for real-time results. The market for on-device motion capture is growing, and RealDrift aims to enable scalable deployments across media, AR/VR, gaming, robotics, and related industries.

RealDrift provides real-time motion capture powered by deep learning on edge devices. It uses lightweight neural networks and on-device inference to capture human motion in real time. The technology targets B2B customers such as developers and enterprises requiring edge AI capabilities for motion capture. Core tech includes deep learning models optimized for edge computation and on-device processing for real-time results. The market for on-device motion capture is growing, and RealDrift aims to enable scalable deployments across media, AR/VR, gaming, robotics, and related industries.