Spend less time cleaning and more time authoring.
Bring your characters to life — grounded, responsive, and true to your vision.
Believable motion synthesized from real mocap data.
Diverse, responsive movement with seamless transitions.
Solid foot contacts and natural weight shifts.
Bring worlds to life with more variety.
Direct your virtual actor’s performance.
Precisely control root motion to create animations that perfectly match your gameplay system.
“Motorica provides deterministic control over locomotion. Small adjustments produce clear, predictable results that translate cleanly into Unreal.”
Direct your character’s expression with our provided styles, or use your own motion capture data to precisely dictate their performance.
“Style control lets us push personality into locomotion while keeping it grounded. That’s the kind of difference we believe players will feel immediately.”
Iterate quickly and manifest your creative vision. In just minutes, generate bespoke datasets tailored for your motion matching system. Motorica’s full coverage motion matching datasets drive responsive and believable characters.
“Preparing motion matching datasets in days instead of months supports a more predictable production schedule.”
Every Motorica animation is synthesized from world-class mocap actor performances.
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Founding team includes award-winning ML researchers who pioneered deep learning in 3D animation synthesis.
Proprietary generative models that have been refined via years of SIGGRAPH award-winning motion synthesis research by our team.
Powered by one of the world’s largest fully licensed mocap databases, ensuring a verifiable chain of title.
Motorica integrates directly into your existing pipelines, with commonly used file formats and even directly into your engine via plugins. Works with Unreal Engine, Unity, Maya, MoBu, Blender, and more.
“Working directly with the Motorica team and seeing feedback addressed quickly has been a real strength of the partnership.”
In 2019, researchers Gustav Henter and Simon Alexanderson achieved a breakthrough with the world’s first deep generative model for motion synthesis. Their innovation led to the incorporation of Motorica in 2020, supported by an Epic MegaGrant, to further advance the science. In 2023, repeat founder Willem Demmers partnered with the researchers to found a startup built on their breakthrough, with the mission of empowering animators by automating chores so they can focus on creative work.
