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VIDEO INTELLIGENCE FOR PHYSICAL AI
Turn first-person video into robot-ready data.
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The data-readiness gap.
01 · Understand
Detect tasks, steps, objects, and hand–object interactions.
02 · Validate
Check motion, framing, privacy, and action clarity.
03 · Activate
Return timestamped outputs ready for review and downstream use.
Built for your pipeline.
01 · Action Segmentation & Labeling
Detect discrete, timestamped actions and steps from raw egocentric and robot footage: mapped to your taxonomy.
02 · Dense Caption Labeling
Generate rich, natural-language descriptions of hand–object interactions, scene context, and spatial relationships, as training data for language-conditioned robot policies.
03 · Quality Scoring
Score clips for stability, framing, occlusion, and action clarity before footage enters review.
04 · Search & Curation
Find rare events, duplicates, and long-tail edge cases across your footage library with natural-language search.
05 · PII & Compliance Flagging
Flag faces, bystanders, and screens or documents with personal data before footage moves downstream.
From raw POV to structured, reviewable data.
Laying the foundation.
The path that led here. Explore the work behind it.
BLOG
Automated video data labeler
Custom-taxonomy, timestamped labels from raw footage, exported for training pipelines.
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CASE STUDY
Protege
From raw archives to structured robotics-ready clips in days, not quarters.
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BLOG
NVIDIA-backed TwelveLabs
Why video understanding, not just tagging, is the foundation for Physical AI.
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BLOG
Retail CCTV intelligence
Schema-driven analysis and natural-language search over operational footage.
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BLOG
Manufacturing automation
Workplace video into compliance, safety, and efficiency signals.
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