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VIDEO INTELLIGENCE FOR PHYSICAL AI

Turn first-person video into robot-ready data.

Understand tasks at multiple levels, validate footage quality, and move more usable video into robotics data pipelines.

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Understand tasks at multiple levels, validate footage quality, and move more usable video into robotics data pipelines.

Talk to Sales

Watch Demo

The data-readiness gap

Training data is the bottleneck in Physical AI.

First-person video only creates value when teams can understand it, judge whether it meets requirements, and deliver it in a form models can use.

Understand

Identify valuable moments and filter footage against requirements before it reaches downstream teams.

Validate

Check footage against the visual, privacy, and behavioral requirements that matter downstream.

Activate

Return structured, timestamped outputs that teams can review, filter, and move into their workflow.

Built for your pipeline.

How robotics and physical AI teams get from raw footage to training-ready data.

Action Segmentation & Labeling

Detect discrete, timestamped actions and steps from raw egocentric and robot footage — mapped to your taxonomy.

Dense Captioning

Generate rich, natural-language descriptions of hand-object interactions, scene context, and spatial relationships, training data for language-conditioned robot policies.

Quality Scoring

Score clips for stability, framing, occlusion, and action clarity before footage enters review.

Search & Curation

Find rare events, duplicates, and long-tail edge cases across your footage library with natural-language search.

Consent & Compliance Flagging

Detect and flag PII — faces, license plates, documents, badges — plus minors, before footage moves downstream.

Label, validate, and operationalize more video.

More usable data

Identify valuable moments and filter footage against requirements before it reaches downstream teams.

Less pipeline work

Use a video-native model instead of assembling separate frame, transcription, and labeling systems.

More control

Define the action structure and quality checks that match your collection or training program.

Two buying motions. One bottleneck

Choose the outcome that fits your role.

Our SDK provides a simple, robust interface for the TwelveLabs' video understanding platform, with built-in authentication and async task handling.

For data providers

Increase usable inventory, standardize delivery, and streamline customer acceptance.

Describe actions at the granularity each buyer needs
Apply repeatable QC requirements before delivery
Return structured outputs that fit downstream workflows

For robotics labs

Optimize ML workflows by converting raw video into structured training datasets, eliminating costly in-house annotation pipelines.

Apply custom task and action taxonomies
Screen footage for quality and safety before ML processing
Free engineering time from annotation tooling for core model development

Integrate with your own schema

Bring your own verb list, taxonomy, and granularity from day one. This is training-data infrastructure built to be re-pointed, not a fixed labeling product.

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Bring your own verb list, taxonomy, and granularity from day one. This is training-data infrastructure built to be re-pointed, not a fixed labeling product.

Talk to Sales

Structured JSON outputs

Custom action hierarchies

Timestamped segments

Configurable quality prompts

API and SDK access

Flexible deployment options