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TwelveLabs uses multimodal foundation models (FMs) to bring humanlike understanding to video data. The company's FMs understand what is happening in videos, including actions, objects, and background sounds, allowing developers to create applications that can search through videos, classify scenes, summarize, and extract insights with precision and reliability.
State-of-the-art video understanding models
Marengo 2.7
Get fast, context-aware results that reveal exactly what you’re looking for in your videos—moving beyond basic tags into a whole new dimension of multimodal understanding.
Pegasus 1.2
Transform your videos through the power of language. Generate everything you need from video—from concise summaries and captivating highlights to effective hashtags and customized reports. Uncover deeper insights and unlock entirely new possibilities with your content.
Benefits
Natural language video search
Pinpoint precise moments in your videos using simple language queries, removing the need for tedious scrubbing and manual review.
Deep video understanding without labels
Extract deep insights from your content without predefining labels or categories, allowing for discovery of unexpected patterns and information.
Enterprise-scale knowledge transformation
Convert extensive video libraries into accessible, searchable knowledge resources with technology built for enterprise scale and security.
Multimodal intelligence
Simultaneously process visual elements, audio content, and text for comprehensive understanding that captures every dimension of your videos.
Temporal intelligence
Connect related events across time, identifying patterns and relationships that can be challenging and time-consuming to manually track.
Use Cases
Media and entertainment
Transform production workflows by instantly finding, summarizing, and connecting video moments, helping storytellers focus on creativity instead of searching through footage.
Advertising
Accelerate content analysis and workflow efficiency through AI-powered video understanding, helping brands more effectively connect with their audience while reducing production time and costs.
Governance and security
Enhance situational awareness by rapidly identifying critical events and patterns across video sources, allowing for proactive security monitoring and faster, more informed decision-making.
Automotive
From detecting driver hazards to predicting pedestrian behavior, TwelveLabs AI analyzes video with humanlike comprehension, transforming transportation safety and efficiency.
TwelveLabs in Amazon Bedrock overview
With Marengo and Pegasus in Amazon Bedrock, you can use TwelveLabs’s models to build and scale generative AI applications without having to manage underlying infrastructure. You can also access a broad set of capabilities while maintaining complete control over your data, enterprise-grade security, and cost control features that are essential for responsibly deploying AI at scale.
Model versions
Marengo 2.7
Video embedding model proficient at performing tasks such as search and classification, enabling enhanced video understanding.