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Video Data for AI Training

Video Data for Foundation Models
and Multimodal AI

Stable, scalable video, audio and metadata extraction — ready to feed LLM, VLM and world model training out of the box.

8.5B+Video metadata records
22B+Short-video platform records
1.8BHours of video & audio
99.99%Uptime & 24/7 expert support

One Data Layer, Every Model Type

Whether you are pre-training a foundation video model, fine-tuning a VLM, or feeding a humanoid robot policy, the pipeline is the same: discover, extract, deliver.

Foundation Video Models

Train Sora-class models on petabyte-scale YouTube video — real physics, object dynamics, human activity.

  • Pre-cut MP4 clips with structured metadata, multiple resolutions available
  • Filter by scenario, lighting, geo and POV before extraction
  • Continuous feeds for training and evaluation refresh

From Scenario to Training-Ready Stream in Three Steps

Build petabyte-scale video extraction pipelines, optimized for multimodal training data.

1

Define

  • Modality, language, domain and format
  • Surface fresh sources by metadata
  • One-off or continuous custom feeds
  • Optional annotation and labeling
2

Search

  • Filter by scenario, lighting, geo and POV
  • Filter by duration, date and quality
  • Preview keyframes before downloading
  • Validate samples before scaling
3

Extract

  • Scale beyond yt-dlp cost-effectively
  • Pre-cut MP4 clips with metadata
  • Deliver to S3, GCS, Azure or webhook
  • Bypass anti-bot measures and CAPTCHAs

Every Signal Your Model Needs, From One Source

MP4 video clips, pre-cut to the timeframes you specify, delivered ready for ingestion. YouTube-first pipeline with multiple resolutions and frame rates available on request.

Web Video Beats Every Alternative

Simulation has a domain gap. Teleoperation does not scale. Catalogs are narrow. Web-scale video gives your model the diversity it needs to generalize.

Source Diversity

Unmatched coverage across languages, geographies, lighting, formats and edge cases that synthetic data and curated catalogs cannot generate at scale.

Content-specific Ingestion

Focus on high-value content matched to your training task. Drastically reduces noise versus generic crawls and keeps your token budget pointed at useful signal.

Pipeline-ready Output

Pre-cut clips delivered with structured metadata, standardized schemas and precise timeframes. Drop directly into your training framework without preprocessing.

Built for the Entire Video Training Lifecycle

Get the essential video data foundation for foundation models, multimodal LLMs and physical AI, from pre-training to fine-tuning to continuous refresh.

Tailored for your model

Blend curated and client-specific video for model relevance and accuracy.

Multi-source aggregation

Unified video, audio, captions and metadata for richer multimodal training.

Word-level transcription

Word-level timestamps alongside m4a audio — eliminating manual alignment.

Quality validation upfront

Sample preview and validation before delivery — scale only after approval.

Pipeline-ready output

Pre-cut clips with structured metadata. Drop directly into your framework.

Continuous feeds

Stream video to your cloud as it is published, for training and evaluation.

Reduce bias and drift

Access videos across geographies and languages to ensure fairness.

100% compliant

Public data only. GDPR, CCPA. DPA supported, third-party audits.

Compliance — Built for Legal Review

Your model ships to production. Compliance isn't an appendix — it's the entry condition.

  • Public Data Only: acquired through our own infrastructure. No private data, no login-required content.
  • Regulatory Compliance: GDPR, CCPA, and applicable data protection laws respected.
  • Batch Traceability: source records and licensing terms included per batch, verifiable on demand.
  • Commercial Safeguards: DPA supported, third-party audits on capture processes.
GDPRCCPA ReadyProtected
GDPRCCPAProtect

Frequently Asked Questions

yt-dlp works for individual videos. At scale: rate limits, 403 blocks, CAPTCHAs, parsing failures. We consolidate proxy scheduling, anti-bot retries and parser maintenance into one API — plus billions of historical records free tools can't build from scratch.
More FAQs

The Web Won't Unlock Itself

Book a demo and see video data extraction in action.