Powered by a proprietary ML model and our own body model, we reconstructs temporally consistent, lifelike movement from raw acting footage into high quality 3D animation data.
Our proprietary model generates temporally consistent animation with lifelike dynamics, keeping motion coherent across time while matching the intent and structure of the prompt.
Our proprietary retargeting technology adapts source motion to a target character’s morphology by jointly modeling skeletal structure and mesh geometry. By explicitly accounting for surface constraints, it reduces interpenetration, clipping, and other kinematic or geometric inconsistencies in the resulting animation.
Our proprietary auto-rigging AI technology automatically infers an adapted skeletal structure for unrigged 3D characters. Using geometric and anatomical priors, it predicts joint locations and a kinematic hierarchy aligned to the character’s morphology, producing a rig suitable for downstream animation and motion transfer.
We collected and curated over 200 hours of raw 3D human motion data through full body motion capture. The dataset features 75+ professional actors across diverse morphologies, performing a comprehensive range of movements from everyday actions to highly specific motions.
We built a synthetic pipeline that generates large volumes of training video. Using 1,000+ characters of diverse morphologies enabled by our mesh-aware retargeting, we render animations across hundreds of 3D scenes under varied lighting and disentangled camera parameters.
Powering experiences with…




