SAN FRANCISCO - At the April NAB Show in Las Vegas, Amazon Web Services (AWS) and TwelveLabs (www.twelvelabs.io) announced that TwelveLabs' multimodal foundation models, Marengo and Pegasus, will soon be available in Amazon Bedrock. TwelveLabs is a video understanding company. Amazon Bedrock is a fully-managed service that offers developers access to high-performing models from leading AI companies through a single API. Seamless access to TwelveLabs’ advanced video understanding capabilities will enable developers and enterprises to transform how they search, analyze and generate insights from video content.
According to TwelveLabs co-founder/CEO Jae Lee, the company's technology enables users to search across their entire content library to find the precise moment they’re looking for - all in in less than a second - and then interpret and analyze those moments. TwelveLabs’ technology, for example, gives a sports network the ability to instantly pull every instance of a specific play or commentator reaction. It can also help a broadcaster identify recurring themes across large volumes of footage. Video archives can be turned into usable, indexable assets, unlocking both operational efficiency and new revenue opportunities.
With Marengo and Pegasus available in Amazon Bedrock, AWS customers can use TwelveLabs’ models to build and scale generative AI applications without managing underlying infrastructure. Using Amazon Bedrock, customers gain access to a broad set of capabilities while maintaining control over their data, benefiting from enterprise-grade security and utilizing cost control features, all of which are essential for deploying AI responsibly at scale.
Beyond sports applications, film and TV studios will be able to rapidly manage video workloads, from dailies, content repacking and archive management. News agencies and broadcasters will be able to quickly manage large libraries to find the moments that matter. And streaming services can better package and distribute content across platforms, and more effectively insert relevant video ads.