Video Intelligence with TwelveLabs and Amazon Bedrock
Turn massive volumes of unstructured video into searchable, analyzable data—without the manual tagging.
Video Intelligence with TwelveLabs and Amazon Bedrock
Turn massive volumes of unstructured video into searchable, analyzable data—without the manual tagging.
Get the guide
Unlock Video Intelligence with TwelveLabs and Amazon Bedrock
Discover how leading organizations are moving beyond metadata to search video archives with natural language, analyze hours of footage in seconds, and unlock insights buried in visual data. Learn how TwelveLabs' purpose-built video understanding models on Amazon Bedrock are transforming video from storage liability to strategic asset.
Inside this guide:
How multimodal AI understands video across sight, sound, and motion
Why video-native models outperform generic AI
Real-world applications across media, security, and enterprise
Video semantic search technical architecture
Get the guide
Unlock Video Intelligence with TwelveLabs and Amazon Bedrock
Discover how leading organizations are moving beyond metadata to search video archives with natural language, analyze hours of footage in seconds, and unlock insights buried in visual data. Learn how TwelveLabs' purpose-built video understanding models on Amazon Bedrock are transforming video from storage liability to strategic asset.
Inside this guide:
How multimodal AI understands video across sight, sound, and motion
Why video-native models outperform generic AI
Real-world applications across media, security, and enterprise
Video semantic search technical architecture
Get the guide
Unlock Video Intelligence with TwelveLabs and Amazon Bedrock
Discover how leading organizations are moving beyond metadata to search video archives with natural language, analyze hours of footage in seconds, and unlock insights buried in visual data. Learn how TwelveLabs' purpose-built video understanding models on Amazon Bedrock are transforming video from storage liability to strategic asset.
Inside this guide:
How multimodal AI understands video across sight, sound, and motion
Why video-native models outperform generic AI
Real-world applications across media, security, and enterprise
Video semantic search technical architecture
The Video Search Problem
Your video archives are growing. Your ability to search them isn't.
Most video remains unsearchable—trapped behind inadequate metadata, incomplete transcripts, or manual tagging that can't keep pace with production. Generic AI models treat video as a sequence of images or rely on speech-to-text, missing the rich context that makes video meaningful.
The Video Search Problem
Your video archives are growing. Your ability to search them isn't.
Most video remains unsearchable—trapped behind inadequate metadata, incomplete transcripts, or manual tagging that can't keep pace with production. Generic AI models treat video as a sequence of images or rely on speech-to-text, missing the rich context that makes video meaningful.
The Video Search Problem
Your video archives are growing. Your ability to search them isn't.
Most video remains unsearchable—trapped behind inadequate metadata, incomplete transcripts, or manual tagging that can't keep pace with production. Generic AI models treat video as a sequence of images or rely on speech-to-text, missing the rich context that makes video meaningful.
Video-Native Intelligence
Built for video from the ground up
TwelveLabs' Marengo and Pegasus models don't just watch video—they understand it. By encoding visual content, audio, motion, and speech into unified embeddings, these models enable search and reasoning that mirrors human perception, delivering the most accurate video understanding available on Amazon Bedrock.
Video-Native Intelligence
Built for video from the ground up
TwelveLabs' Marengo and Pegasus models don't just watch video—they understand it. By encoding visual content, audio, motion, and speech into unified embeddings, these models enable search and reasoning that mirrors human perception, delivering the most accurate video understanding available on Amazon Bedrock.
Video-Native Intelligence
Built for video from the ground up
TwelveLabs' Marengo and Pegasus models don't just watch video—they understand it. By encoding visual content, audio, motion, and speech into unified embeddings, these models enable search and reasoning that mirrors human perception, delivering the most accurate video understanding available on Amazon Bedrock.
From Search to Action
Find any moment. Understand any scene. In seconds.
Search petabytes of footage using plain language, not tags or timestamps. Analyze hour-long videos to generate summaries, extract themes, or flag critical events—all through a simple API on AWS infrastructure built for scale, security, and global deployment.
From Search to Action
Find any moment. Understand any scene. In seconds.
Search petabytes of footage using plain language, not tags or timestamps. Analyze hour-long videos to generate summaries, extract themes, or flag critical events—all through a simple API on AWS infrastructure built for scale, security, and global deployment.
From Search to Action
Find any moment. Understand any scene. In seconds.
Search petabytes of footage using plain language, not tags or timestamps. Analyze hour-long videos to generate summaries, extract themes, or flag critical events—all through a simple API on AWS infrastructure built for scale, security, and global deployment.
고객사 이야기
고객사 이야기
고객사 이야기
“트웰브랩스의 AI 모델은
미디어, 스포츠, 광고 산업에서
고급 영상 검색, 콘텐츠 버전 관리,
맞춤형 영상 제작까지 제공하는 등
새로운 기회들을 만들어나가고 있습니다.”
Bill Stratton,
Snowflake 글로벌 미디어·엔터테인먼트·광고 총괄
Bill Stratton,
Global Head of Media, Entertainment & Advertising at Snowflake
Bill Stratton,
Global Head of Media, Entertainment & Advertising at Snowflake
Meet our APIs
Meet our APIs
TwelveLabs models easily integrate with your video applications and existing workflows.
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지금, 영상의 새로운 가능성을 직접 경험해보세요.
플레이그라운드에서 직접 테스트하고,
비디오 인텔리전스의 진짜 경험을 시작하세요.
