What Twelve Labs does
TwelveLabs (TwelveLabs, Inc.) is a private video-intelligence company building multimodal, video-native foundation models and an enterprise “intelligence layer” for making large video libraries searchable, segmentable, and actionable. The company’s core platform combines (1) perception-style models that convert video into embeddings and structured representations and (2) reasoning workflows that let users query across an indexed video corpus using natural language. TwelveLabs positions its approach as video-first multimodality—i.e., models designed to understand motion, audio, and on-screen text in the context of the video timeline—rather than language models that only “look at” sampled frames. TwelveLabs’ products are exposed through REST APIs and SDKs via its developer documentation, with additional application-layer functionality for creative workflows.
From a product standpoint, TwelveLabs offers two main interaction styles: “Models” for dedicated tasks (search across moments, analyze individual videos, and generate embeddings) and “Agents” (a research-preview unified system, Jockey) designed to reason over an indexed knowledge store across multiple modalities and return grounded, cited moments. The company’s named foundation models include Marengo (an embedding model for comprehensive video understanding) and Pegasus (a generative video-to-text model). In addition to the model layer and API access, TwelveLabs announced Rodeo as its first application-layer product for creators—an AI rough-cut assistant that turns plain-language story direction into an assembled rough cut, followed by conversational refinement and export.
TwelveLabs primarily targets developers and enterprise teams managing large-scale video workflows—media & entertainment, advertising, sports & broadcasting, security, and government are explicitly cited across its platform/press materials. Business model details are not fully disclosed in the sources captured here, but the company markets the platform via “Talk to Sales” for enterprise deployment and provides API/SDK access for developers, suggesting consumption-based usage (API plans) alongside enterprise contracts for deployment where customer data lives.