What Twelve Labs does
Twelve Labs is a private AI company building video-native multimodal “world” understanding systems for developers and enterprises that need to turn large video libraries into searchable, analyzable, and actionable knowledge. Its platform centers on foundation models for video understanding (including multimodal embedding and video-language capabilities) and developer APIs that expose those models for semantic indexing, retrieval, and higher-level video analysis workflows. Twelve Labs positions its models as “video-first” rather than text models retrofitted with video pipelines, aiming to preserve temporal context and holistic multimodal meaning across video, audio, and related media inputs.
From a product standpoint, Twelve Labs operates like a video intelligence infrastructure layer: users index their video content using its embedding/search APIs (and related multimodal capabilities), then query and retrieve precise moments using natural-language and cross-modal inputs. The company also distributes its models via first-party API infrastructure and through integrations/release channels (for example, managed availability on Amazon Bedrock mentioned in its documentation and release notes). Strategically, Twelve Labs has expanded beyond embedding/search toward a broader “full-stack” agentic intelligence system for video cognition, as described in its Series B announcement.
Twelve Labs serves media and entertainment teams (e.g., sports/media producers and studios), ad/marketing workflows requiring scene-level understanding beyond metadata, automotive and security use cases, and public-sector evidence/incident workflows where video understanding can support operational and compliance tasks. As of its Series A announcement, the company claimed tens of thousands of users using its APIs, and it continues to iterate rapidly through model releases tracked in its public documentation release notes.