TwelveLabs

What is TwelveLabs?

TwelveLabs is a video-native intelligence platform built for organizations that need to extract real meaning from video at scale. Rather than relying on manual tagging or basic frame sampling, TwelveLabs processes the full temporal arc of video content — vision, audio, and language together — making every moment searchable, analyzable, and actionable. At its core are two proprietary models: Marengo, a multimodal embedding model for search and discovery, and Pegasus, a video language model for deep analysis and text generation. The platform is accessible via API, SDK, and MCP, and deploys on cloud, private cloud, or on-premise environments.

Key Features

• Multimodal Video Search

  Search entire video libraries using natural language across vision, audio, dialogue, and even human emotions — no manual tags required. Powered by Marengo with 78.5% composite accuracy across 47 languages.

• Deep Video Analysis (Pegasus)

  Pegasus reasons continuously over the full timeline of a video up to two hours, tracking entities, causation, and narrative to generate summaries, chapters, Q&As, metadata, and incident reports.

• High-Speed Indexing Infrastructure

  Ingest and index video through a single multimodal pipeline at ~60x real-time speed — one hour of video indexed in under a minute, supporting 10,000+ hours per day.

• Content Segmentation & Highlight Creation

  Automatically detect scene changes, pacing shifts, and natural breaks in long-form content, then assemble targeted highlight reels or clips based on descriptive prompts.

• Compliance & Brand Safety Monitoring

  Identify sensitive content, policy violations, and brand safety risks at scale with explainable outputs, enabling faster and more confident content review workflows.

• Flexible Deployment & Custom Model Training

  Deploy on any cloud, private cloud, or on-premise. Fine-tune models on proprietary data to build domain-specific video intelligence tailored to your organization.

Use Cases

• Media & Entertainment Archives : Studios and broadcasters can surface timestamped clips from years of footage in seconds, turning passive archives into instantly searchable, reusable assets.
• Sports Content Production : Sports organizations can locate specific game moments, player actions, and highlight-worthy plays across entire seasons to package fan-ready content faster.
• AdTech & Contextual Targeting : Marketing teams can place ads in brand-safe scenes based on actual video understanding rather than metadata, enabling truly contextual ad delivery without manual review.
• Public Sector & Security : Government agencies and security teams can automate evidence management, anomaly detection, and after-incident reporting from surveillance and body camera footage.
• Developer & Enterprise Integrations : Engineering teams can integrate video intelligence directly into products and workflows via a clean API, SDK, and MCP — with support for custom model training on domain-specific data.

FAQs