​Markerless motion capture is no longer a compromise. See how RayKnot and Cortex just made it a genuine upgrade.

​For years, motion capture researchers and clinicians have faced a tradeoff between the precision of marker-based systems, or the speed and flexibility of markerless capture. That tradeoff just changed.

​Join Motion Analysis Corporation and Kineability for a first look at RayKnot (an AI-powered markerless motion capture system built for real-world research and athletic performance environments) and its new integration with Motion Analysis's Cortex platform.

​If you've ever wished you could capture clean 3D biomechanics data without suiting up a subject, or wanted a way to bring markerless capture into your existing Cortex workflow without starting from scratch, this webinar is built for you.

​Here's what you'll walk away with:

• ​Get to know Kineability - find out about the company behind RayKnot and get a first look at how it captures accurate 3D biomechanics data using only RGB cameras, with no suits, sensors, or markers, and how its approach compares to other markerless systems on the market

• ​A live look at the integration - see how one-click processing takes markerless data straight into Cortex, all within a single interface for collection, processing, and evaluation

• ​Why this doesn't mean starting over - RayKnot's markerless output produces key landmarks consistent with the marker data you already use, so it fits alongside your current workflow rather than replacing it

• ​The best of both worlds - how marker and markerless collection can now run in one system, giving you the adaptability of marker-based data with the simplicity of markerless capture

• ​What's next - a look at upcoming modules already in development, including detailed finger tracking and ball tracking

• ​Real applications - how this is already opening doors in biomechanics research, rehabilitation, and sports performance, including multi-subject capture and analysis-ready reporting

• ​Where this is headed - what the Motion Analysis + Kineability partnership means for the future of the ecosystem you're already part of

​Who Should Attend

• ​Biomechanists and human movement researchers looking to streamline data collection

• ​Rehabilitation specialists working in settings where marker-based capture is impractical

• ​Sports scientists and performance analysts who need fast, unencumbered movement assessment

• ​Lab managers and technical leads evaluating how to expand or modernize their motion capture setup

• ​Existing Motion Analysis Cortex users curious what the Kineability integration adds to their toolkit

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​About Motion Analysis Corporation
Founded in Santa Rosa in 1982, Motion Analysis Corporation quickly established itself as an innovative force in the motion capture world. Since then, we’ve worked closely with renowned specialists to create continuously cutting-edge hardware and software solutions for a wide range of industries including video game design, studio broadcasting, AR, VR, biomechanics, product development, robotics, and ergonomics.

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​About Kineability
Kineability is a deeptech company spun out of Nanyang Technological University (NTU) in Singapore, focused on advancing motion intelligence through AI and computer vision. Their flagship system, RayKnot, is built for real-world research and athletic performance - delivering accurate joint tracking and biomechanics data with minimal setup, and saving up to 95% of analysis time compared to traditional workflows. RayKnot is trained on precisely labelled anatomical bone data, supports up to eight subjects simultaneously, and exports directly to C3D and other standard formats.