Video Feeds -
ready for VLA pipelines
Teleoperation bottleneck keeps VLA (Video‑Language‑Action) and humanoid policy training data scaling linearly with robot time and operator hours. We provide continuous, task‑family targeted web video clips with metadata to add real‑world diversity and help teams move toward zero-shot generalization.
Trusted by the world's most demanding AI teams
2.3B+
videos extracted (and counting)
2PB+
of video provided to leading AI teams daily
2.5B+
image and video URLs discovered every day
5T+
text tokens in hundreds of languages daily
99.99%
uptime and 24/7 expert support
How it works:
Define, Search, Extract
Define, Search, Extract
- Define: Identify your target Task Families - broad groups of related actions (e.g., "Kitchen tasks" like wipe/place/carry or "Warehouse tasks" like pick/sort/pack) that allow your model to generalize across a whole class of behavior rather than a single specific move.
- Search: Use our powerful search and filtering tools to find high-quality human activity demonstrations within massive web-scale video archives.
- Extract: Isolate relevant footage and extract action-specific scenes from an egocentric POV, delivering pre-cut, tagged clips that are optimized for your robotization and training workflows.
Continuous, targeted web video for training humanoid robot policies
Discover Content
- High-Granularity Filtering: Search and filter through massive web archives to find fresh video sources that match your specific task requirements.
- Metadata-based discovery: Surface new sources through rich, filterable metadata including modality, language, and domain context.
- Precise targeting: Pinpoint videos by specific environmental contexts (e.g., “low-light kitchens” or “industrial assembly lines”).
Endless Video Ingestion
- Bypass the Teleoperation Bottleneck: Use “in-the-wild” human demonstrations to provide a rich prior for world dynamics without the cost of human operators.
- Environmental Diversity: Unmatched coverage across lighting, home/workspace layouts, object variants, and edge cases.
- Action-Specific Ingestion: Focus on the high-value scenes relevant to manipulation and mobile tasks, reducing the noise in your training data.
- Ready for your VLA Pipeline: Pre-cut, action-specific clips + metadata. Export to RLDS (TFRecords) or LeRobot v3 (Parquet/MP4).
Industrial-Grade Infrastructure
- High-Volume Resilience: Automated handling of HTTP 429 errors, blocks, and anti-bot flows to ensure continuous data delivery.
- Compliance & Security: Fully compliant global access with delivery of raw video + metadata directly to your secure cloud storage.
- Standardized Metadata: Every dataset is delivered with the consistent schema required for your ingestion scripts to perform final temporal alignment and coordinate normalization.
Book a meeting
Bring your target Task Families and throughput requirements. We’ll map them to sources and discovery filters so you can deliver a high-fidelity video stream directly into your VLA training pipeline.