
For People
Movement can reveal function, capability, performance and change — helping humans move, function and perform better.

Movement contains information about how we function, perform, interact and learn.
Kineability is building the technology to make that information accessible at scale — transforming natural human movement into structured 3D data, analytics and intelligence for healthcare, human performance and embodied AI.
From Movement to Insight.
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Kineability is a Singapore deep-tech company spun out from Nanyang Technological University. The underlying technology was developed through research and collaboration spanning biomechanics, rehabilitation, computer vision and machine learning.
Today, we are taking that foundation beyond research and laboratory — into the real world in healthcare, human performance and robotics.
RayKnot is being deployed and applied across leading healthcare, research and human-performance environments in Asia and Europe.
Real movement. Real environments. Across disciplines.
Our vision is to make movement intelligence a trusted foundation for both — helping humans move, function and perform better, while giving intelligent machines better data from which to learn.

Movement can reveal function, capability, performance and change — helping humans move, function and perform better.

Human movement provides rich examples of interaction with the physical world — giving intelligent machines better data from which to learn.
RRIS
A*STAR
Mahidol University
Chang Gung
Kineability brings together expertise in technology, clinical science, robotics and international commercialization.

Co-Founder / CEO
30+ years of scaling healthcare and deep-tech businesses internationally

Co-Founder / Director
Associate Professor/ Robotics, AI, Rehabilitation and movement science

CTO
Original lead inventor of RayKnot

General Manager
China technology lead
Whether you are exploring clinical assessment, human performance, research, robotics or a new application of movement data, talk to us about what you are trying to understand.
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