Custom Taxonomies & Labels
Frame-level action ontologies designed to your spec, not off-the-shelf.
Semantic - Spatial - Synthetic
Slapshot Vision is the data engine for physical AI
Semantic, spatial, and synthetic video data enrichment at the forward edge of computer vision
SAM 3
Binary masks require manual edge refinement
Slapshot
Production-ready soft mattes with hair detail
Three Steps. One Loop. Compounding Data.
Semantic
Custom taxonomies. Frame-level tags, actions, attributes, intent.
Spatial
Pixel-perfect masks, depth, pose, and camera tracking - aligned frame by frame.
Synthetic
Generative video synthesis that loops back into the line as new input.
Engagement Formats
Data Originators
Convert your video archives and production output into rights-cleared, ML-ready training assets through expert annotation, segmentation, and metadata enrichment.
Frontier Research Labs
Commission frame-accurate masks, depth maps, motion vectors, and semantic labels at the scale and fidelity required to train foundation vision and world models.
Physical AI Companies
Source action-labeled, spatially-annotated video sequences engineered for robotics, autonomous vehicles, or embodied agents - complete with object tracking, trajectory mapping, and 3D scene understanding.
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.