- Twelve Labs leverages AWS technology to make video as searchable as text using advanced multimodal AI models
- Developers can pinpoint specific video moments, create tailored highlight reels and analyze athletic performances with natural language queries
- AWS enables Twelve Labs to train models 10 per cent faster and reduce costs by 15 per cent
- A strategic partnership with AWS supports Twelve Labs in scaling its generative AI technology worldwide
Twelve Labs, a trailblazing generative AI startup, unveiled a groundbreaking collaboration with Amazon.com (NDAQ:AMZN) segment, Amazon Web Services (AWS), to redefine how video content is searched and analyzed.
By harnessing AWS’s cloud capabilities, Twelve Labs is transforming the world’s largest unsearchable data source – video – into an accessible reservoir of information, unlocking its potential across various industries.
Using advanced multimodal AI models, Twelve Labs maps natural language queries to video content, enabling developers to identify specific scenes, actions, objects and even background sounds. This technology has diverse applications, including streamlining sports footage analysis, creating personalized highlight reels and retrieving decades-old movie scenes. By hosting its foundation models on AWS, Twelve Labs accelerates model training by 10 per cent and cuts training costs by over 15 per cent.
Empowering industries with AI
Twelve Labs’ AI tools are already making waves in media, sports and entertainment:
- Sports: Coaches analyze athlete performances frame by frame to improve techniques, while leagues use AI to create instant highlight reels for live broadcasts.
- Entertainment: Media companies generate tailored content by pinpointing specific moments, such as all action scenes featuring a fan’s favorite actor.
- Content creation: The platform delivers multilingual text summaries and matches speech to visuals for seamless content production.
“Twelve Labs is addressing the monumental challenge of making video content searchable and actionable, allowing developers to build applications that bring human-like understanding to video data,” Jae Lee, co-founder and chief executive officer of Twelve Labs, said in a statement. “With AWS, we’re pushing the boundaries of AI to make video more accessible globally.”
Scaling with AWS
Through a three-year strategic collaboration agreement, Twelve Labs leverages AWS technologies like Amazon SageMaker HyperPod to efficiently train its multimodal models. AWS Activate further supports the startup with tools to optimize machine learning performance and expand operations globally. As a result, Twelve Labs is set to unlock deeper insights from hundreds of petabytes of video data with split-second precision.
“AWS is empowering Twelve Labs to turn vast volumes of multimedia data into actionable intelligence, driving innovation across industries,” added Jon Jones, AWS’s vice president of startups.
With its innovative AI solutions, Twelve Labs is poised to revolutionize how the world interacts with video, making it as searchable and accessible as text.
About Amazon Web Services
Amazon Web Services is the world’s most comprehensive and widely adopted cloud platform, offering over 240 fully featured services including computing, storage, databases, machine learning, artificial intelligence and more.
Amazon stock (NDAQ:AMZN) is up by 1.38 per cent trading at US$213.62 per share as of 1:11 pm ET. The stock has added 47.49 per cent year-over-year and 143.92 per cent since 2019.
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(Top image, generated by AI: Adobe Stock)
