Custom Taxonomies & Labels
Frame-level action ontologies designed to your spec, not off-the-shelf.
Training Data for Physical AI
Video is just photons over time, possessing no inherent meaning. We create ultra-high-quality, signal-rich video datasets to give your model the performance edge it needs.
SAM 3
Binary masks require manual edge refinement
Slapshot
Production-ready soft mattes with hair detail
Three Offerings
Semantic
Video-language-action processing that makes existing libraries searchable - tagged by scene, action, and edge case.
Spatial
Segmentation and depth that give video 3D structure - frame-accurate masks and geometry your model can reason over.
Synthetic
Programmatic generation of novel datasets in Houdini - photoreal video, labels baked in, for cases too costly to capture.
Three Customer Types
Robotics & Physical AI Companies
Synthetic data to simulate the rare edge cases that are too dangerous or expensive to collect - so you can train and stress-test perception and policy before anything is built or deployed.
Frontier Research Labs
Synthetic and spatially enriched data pipelines - frame-accurate masks, depth, motion, and semantic labels at the scale and fidelity foundation and world models require.
Content Owners
Turn existing video libraries into usable, rights-ready training data - structured, enriched, labeled, and searchable.
Built for the Demands of Frontier Model Training
Specific Use Cases
Advanced Object Segmentation
Instance and panoptic masks at pixel fidelity, with occlusion and identity tracking.
Pose & Kinematic Estimation
Full-body, hand, and end-effector pose at 30+ fps with sub-joint precision.
Depth & 3D Spatial Grounding
Per-frame monocular depth, camera tracks, and scene geometry aligned to RGB.
Egocentric & Multi-View
First, third, or synchronized multi-camera datasets for VLAs and world models.
Synthetic Augmentation
Generative coverage of rare events, distribution gaps, and controlled perturbations.
Tell us what you're training.
From brief to first delivery in days, not quarters. Enterprise NDA before any data moves.