The body in motion
No suits. No hardware.
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AI-powered 3D motion animation
No credit card required
Real-time 3D human virtualization for everyone, everywhere.
No suits. No hardware.
Core
Everywhere, everyone
Upload videos for cloud processing. Export FBX data. All through our website.
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Studio
Real time: on premise
Our AI on your machine, for conventional and real time results. Export FBX data.
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API
Real time: SDK
Direct, private access to Core in the cloud. Build your own applications around our AI.
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Live
Real time: live stream
Real-time results through the cloud. Build your own applications around our AI.
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Freedom to create and iterate
Our AI requires no constrained environments, clothing, sensors, markers or suits.
Any device
From smartphones through professional cameras, you can shoot on any device.
Any environment
Non-human objects are automatically ignored. Outdoors, at home or in the studio - record in any environment and lighting conditions.
Seamless integrations
Use our FBX output out-of-the-box or download plugins and add-ons to seamlessly connect your animations into your own 3D environments.
Some of our partners and customers
Our mission
RADiCAL was founded to develop the world’s most powerful computer vision technology focused on detecting and reconstructing 3D human motion from 2D content.
AI-powered 3D motion capture — 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 in film, TV, art, gaming, AR/VR, as well as industrial and health applications.
Team RADiCAL
Team 
Gavan Gravesen
Founder & CEO
Worked @Slated.com (co-founder), @Deutsche Bank, @Cleary Gottlieb • Studied @New York University School of Law, @Copenhagen University, @Conservatory of Music, Berlin
Matteo Giuberti
Deep Learning
Worked @Xsens (Senior Research Engineer) • Studied @Università degli Studi di Parma (MS / PhD, Telecommunications Engineering)
Francesco Riccio
Deep Learning
Worked @Sapienza Università di Roma (Postdoctoral Researcher) • Studied @Sapienza Università di Roma (MS / PhD, AI & Robotics)
Anand Ravipati
Product Manager
Worked @BNM Ventures, @AZ Corporation, @SDV Holdings • Studied @Ross University (MD), @Penn State University (BS)
Moises Silveira
3D Game Development
Worked @MainLeaf, @Voiza • Studied @universidade Federal de Pelotas (BS)
Adriano Donninelli
Deep Learning
Studied @University of Bologna
Vlad Marchenko
Web Development
Worked @psd2html @TheObjectiveStandard • Studied @Khariv National University
Evgen Gavrilov
Web Development
Worked @TopTal • Studied @National Technical University Kharkiv Polytechnic Institute
Vlad Lazin
3D Web Development
Worked @Fujitsu, @Logosapiens, @vTable, @UCView • Studied @Babeş-Bolyai University: Faculty of Mathematics and Computer Science
Konstantin Antipov
DevOps
Worked @Alar Studios, @Actimind, @Lenvendo • Studied @St.Petersburg State Polytechnical University
Michael Vorhaus
Advisor
CEO @Vorhaus Advisors • Advisor @VidCon, @RogueGames, @Storm Flag Games • Studied @UC Berkeley
Brad Clark
Advisor
Worked @RiggingDojo (co-founder), @MotusDigital, @Disney Interactive Studios • Studied @Full Sail University
Prof. Serge Belongie
Advisor
Professor @Cornell U. / Cornell Tech (Computer Vision, Machine Learning), @Orpix (Co-founder & Technical Advisor), @DigitalPersona (Co-founder) • Google Scholar • Studied @Berkeley (PhD)
Steve Sadove
Advisor
Board @JCPenney, @Aramark, @Colgate, @Palmolive, @Ruby Tuesday • Worked @Saks (CEO), @Bristol-Myers Squibb (CEO), @Clairol (President), @Kraft General Foods • Studied @Harvard Business School
Simon Collins
Advisor
Worked @Parsons School of Design (Dean), @Nike, @Ralph Lauren, @Zegna, @Marks & Spencer • Advisor @WGSN, @WME/IMG • Studied @Epsom School of Art & Design