Custom Taxonomies & Labels
Frame-level action ontologies designed to your spec, not off-the-shelf.
Semantic - Spatial - Synthetic
Slasphot Vision is the data engine for physical AI
Semantic, spatial, and synthetic video data enrichment at the forward edge of computer vision
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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 Methods
Data Originator
generator of high quality video content.
Frontier Research Lab
creator of foundational text and vision models.
Physical AI Company
creator of applied technologies in the physical world.
Built for the Demands of Frontier Model Training
Video Data Expertise to Optimize Training Cycles
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.