Motion Intelligence. Redefined.
At Kineability, we empower researchers, clinicians, therapists, sports scientists, and engineers to capture and study human movement with precision and clarity.
Our markerless motion measurement system — RayKnot — captures 3D human movement using only RGB cameras.
No markers. No suits. No wearables.
Just clean, objective 3D kinematic data for scientific, clinical, and engineering environments.
Kineability (pronounced Ki-nee-ability) is a deep-tech spin-off from Nanyang Technological University (NTU), Singapore.
We develop advanced motion intelligence technologies that help professionals observe, document, and understand human movement with clarity and scientific accuracy.
Our flagship system, RayKnot, is a markerless 3D measurement platform trusted in rehabilitation, sports science laboratories, biomechanics research, and robotics/AI environments.
ABOUT KINEABILITY
HOW RAYKNOT WORKS
RayKnot performs markerless 3D motion capture using AI and computer vision.
It reconstructs natural human movement into accurate 3D kinematics for research, analysis, and documentation.
Capture
Standard RGB cameras record multi-view video of human movement.
视频播放失败,请联系站点管理员!
Reconstruct
RayKnot’s AI engine fuses multi-camera inputs into precise 3D joint trajectories.
Measure
Export C3D files, metadata, and optional overlay videos for downstream analysis in biomechanics, sports science, rehabilitation, or robotics workflows.
RayKnot provides clinicians, therapists, and researchers with objective 3D measurements of gait, posture, balance behaviour, and functional mobility.
These measurements support their own clinical or research workflows, enabling them to examine movement patterns, track changes over time, and draw insights according to their professional expertise.
USE CASES
RayKnot is a markerless motion measurement system designed to capture and reconstruct human movement for observation, visualization, and research. Its capabilities support three key domains where objective 3D kinematic data helps professionals deepen their understanding of human motion.
Sports scientists and universities use RayKnot to measure and evaluate athletic movement in treadmill running, bowling, rowing, and strength & conditioning tasks.
The kinematic data collected is then integrated into their own analysis pipeline, where sports scientists interpret the findings to guide their athletes’ performance, technique refinement, and training focus areas.
Robotics and AI teams rely on RayKnot to generate structured 3D motion datasets for humanoid training, tele-operation research, imitation learning, and physical intelligence studies.
RayKnot provides high-quality human motion measurements that engineering teams incorporate into their own modelling, control development, and robot-interaction frameworks.
CONTACT US
Reach out to us with your queries.
CONTACT US
——
USE CASES
——
SUCCESS STORIES
——