TwelveLabs Raises $100M in Series B Funding Led by NEA

The round also saw participation from Amazon, Radical Ventures, Korea Investment Partners, Index Ventures, Quadrille Capital, and Red Bull Ventures.

The company plans to use the funding to expand research and development in San Francisco and Seoul and support international growth by opening new offices in New York and London to serve global customers.

For the first time, organizations and creators can turn large video libraries into searchable, usable assets, making it easier to analyze, manage, and generate value from content that was previously difficult to access.

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This comes at a key time for the video intelligence market. Although video makes up most of the world's data, much of it remains difficult to search and understand. As more organizations adopt video AI at scale, TwelveLabs has gained strong traction in media and entertainment while expanding into the public sector, where governments use its technology for mission-critical applications. The company is also seeing growing demand from industries such as advertising, security, sports, and automotive.

TwelveLabs has built its technology on advanced video AI research with a focus on true multimodal understanding. Instead of adapting language models to analyze video, the company develops AI models specifically designed to understand video content.

Its Marengo 3.0 model can understand sounds, speech, actions, and visual details across an entire video, making large video libraries searchable at scale. Alongside it, the Pegasus 1.5 model converts videos into structured data, such as scenes, objects, events, and timelines, allowing AI systems to analyze and use video content more effectively.

TwelveLabs' partners continue to support its growth, especially Amazon. Amazon Web Services (AWS) is the company's preferred cloud provider, and the two companies have expanded their partnership through a multiyear agreement that includes optimizing TwelveLabs' video AI workloads on AWS Trainium chips. New TwelveLabs models will also launch first on AWS.

The company's new AI architecture creates a structured, long-term memory of every video it processes and can reason across all of that content. As it analyzes more videos, the system becomes more capable, continuously improving its understanding instead of starting from scratch with each new search or request.

"TwelveLabs has been pushing the boundaries of what AI can perceive and reason about since its earliest days, and we've had the privilege of partnering with them throughout that journey," said Jason Bennett, VP and Global Head of Startups and Venture Capital at AWS. "Their models have been delivering real value to customers on Amazon Bedrock for more than a year, and as they scale their video cognition system on AWS infrastructure, including our purpose-built Trainium chips, we're excited to deepen our partnership with a team that is defining video intelligence at production scale."

"Five years ago, we made a contrarian bet: the substrate of machine intelligence is recorded reality in motion, not language. Language is downstream of understanding. Video is the data understanding has to answer to," said Jae Lee, CEO and co-founder of TwelveLabs. "We have spent half a decade building the perception, knowledge, and reasoning architecture to close that gap. Models commoditize. The intelligence layer that composes them does not.

About TwelveLabs

Founded in 2021 by Jae Lee, Dave Chung, and Soyoung Lee, TwelveLabs is a video intelligence company that helps AI understand and analyze video content as humans do. Its platform enables semantic search, automated video analysis, and multimodal understanding, helping developers, enterprises, and creators turn large video libraries into valuable business assets. TwelveLabs serves customers across industries including media, entertainment, advertising, government, security, and automotive.

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