TwelveLabs

TwelveLabs provides a video intelligence platform that transforms raw video content into structured, searchable, and AI-ready data through multimodal analysis. The platform ingests video, audio, and language signals simultaneously, converting them into time-based metadata that captures every event, action, spoken word, and visual element within a video. This metadata can be queried, filtered, and analyzed at scale, enabling organizations to extract insights from massive video libraries without manual review. The core technology is built around a proprietary model called Pegasus 1.5, which processes video at approximately 60 times real-time speed, meaning one hour of footage can be indexed in about one minute. The platform supports ingestion of over 10,000 hours of video per day through a single pipeline, making it suitable for enterprise-scale deployments. Developers can access the intelligence via a RESTful API and SDK integrations, allowing seamless embedding into existing workflows, applications, or data pipelines. The system supports natural language queries, semantic search across visual and auditory content, and automatic detection of objects, scenes, faces, text overlays, and spoken phrases. It also enables temporal segmentation, where users can jump to specific moments based on spoken keywords, visual events, or combined multimodal criteria. For example, a user can search for “a person holding a red cup while saying ‘meeting adjourned’” and receive precise timestamps. The platform is designed for industries such as media and entertainment, surveillance, education, customer support, and marketing analytics. Media companies can automatically tag and catalog thousands of hours of archival footage, making them searchable by content instead of manual descriptions. Se