The most powerful embedding model for video understanding
AI that truly understands video. Uses multimodal models (Marengo/Pegasus) to search, analyze & generate text from video content at scale.
Marengo provides explainable AI-driven compliance scanning that identifies policy risks, sensitive content, and brand safety issues across video libraries. Teams can review flagged content with confidence in AI reasoning, reducing manual compliance review workload by 10x.
Marengo enables semantic search across entire video libraries by understanding visual content, dialogue, audio, and emotions without manual tagging. Users describe what they need (e.g., 'find all scenes with red cars') and retrieve timestamped clips instantly, reducing research time from days to seconds.
Marengo's Pegasus language model reasons continuously over full video temporal arcs to detect natural breaks, scene changes, and pacing shifts. Users can generate auto-assembled highlight reels, chapters, and rough cuts directly into editing workflows without manual review.
Marengo enables context-driven ad placement by understanding actual video content rather than metadata. Users can place ads only in brand-safe scenes, generate personalized content recommendations, and analyze footage to surface patterns for creative and editorial decisions.
Marengo ingests multimodal data at ~60x real-time speed, indexing one hour of video in one minute. The platform generates spatiotemporal embeddings and time-based metadata that make video data AI-ready and queryable, supporting 10,000+ hours per day at enterprise scale.