THE BODY IN MOTION
AI-powered 3D motion capture for media &
entertainment, robotics and smart cities —
in the cloud and on every device.
Incredibly fast & easy motion capture
Shoot on any 2D device
Sign up in under a minute.
No credit card required.
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Freedom to create and iterate
Our platform provides freedom to create, test and iterate.
Our AI detects most poses and motion independently of the clothing worn in the video.
No sensors, markers or suits required.
From smartphones through professional cameras, you can shoot on any device.
Non-human objects are automatically ignored. We require no specific lighting conditions.
We deliver plug-and-play output that is user-friendly.
Our results are pre-cleaned, and can be instantly previewed and downloaded.
AUTOMATIC CLEAN UP
All output from a scan is put through proprietary algorithms to clean your results for maximum utility.
We de-jitter, de-snap and normalize the data, so you can best plug them into your pipeline.
We make all results available through our cloud-based visualization engine.
A rendered skeletal armature allows you to pre-visualize your work product long before you start working on the MoCap file as part of your rig.
All results are downloadable, for use across animation and gaming engines
- - FBX (*.fbx) FBX
- - AutoCAD DXF (*.dxf)
- - Alias OBJ (*.obj)
- - Collada DAE (*.dae)
- - Biovision BVH (*.bvh)
- - Motion Analysis HTR (*.htr) / TRC (*.trc)
- - Acclaim ASF (*.asf) / AMC (*.amc)
how it works
Access whenever you need, wherever you are. We’re always on.
The right package for everyone
See why so many independent animators and studios
use RADiCAL to power motion in 3D animation.
RAD was founded to develop the world’s most powerful computer vision technology focused on detecting, interpreting and measuring the human body in digital images.
AI-powered 3D motion capture for media, entertainment, robotics and smart cities
— in the cloud and on every device.
To achieve this, we are using multiple bodies of science in a proprietary configuration, including computer vision, deep learning and anthropometry. Our system continually learns and perpetually improves. In our minds, we will never truly be done.
Our goal is to see the technology implemented across mobile, web and enterprise environments, seamlessly powering 3D animation, gaming, virtual reality, augmented reality and industrial applications, including drones, autonomous vehicles, sports and health.
Anna & Gavan
Co-founder & CEO
Worked @Slated.com (co-founder), @Deutsche Bank, @Cleary Gottlieb • Studied @New York University School of Law, @Copenhagen University, @Conservatory of Music, Berlin
Co-founder & CTO
Worked @TopTal (Lead Director of Engineering), @CASY (3D Drone Simulation Scientist) • Studied @Università di Bologna (MS, CS)
Deep Learning Engineer
Worked @Energent Group, @BeyondMaps, @CIRECA Theranostics, @Trackmatic Solutions • Studied @Lomonosov Moscow State University (M.S., Physics)
Deep Learning Engineer
Studied @Petrozavodsk State University (Engineer)
Worked @Nutrafol • Studied @Fordham University (B.A., Economics)
PROF. SERGE BELONGIE
Professor @Cornell U. / Cornell Tech (Computer Vision, Machine Learning), @Orpix (Co-founder & Technical Advisor), @DigitalPersona (Co-founder) • Google Scholar • Studied @Berkeley (PhD)
Board @JCPenney, @Aramark, @Colgate, @Palmolive, @Ruby Tuesday • Worked @Saks (CEO), @Bristol-Myers Squibb (CEO), @Clairol (President), @Kraft General Foods • Studied @Harvard Business School
Worked @Parsons School of Design (Dean), @Nike, @Ralph Lauren, @Zegna, @Marks & Spencer • Advisor @WGSN, @WME/IMG • Studied @Epsom School of Art & Design