TwelveLabs Raises $100 Million in Series B Funding

TwelveLabs, a video intelligence company, has announced $100 million in Series B funding co-led by NEA and NAVER Ventures, with participation from Amazon, Radical Ventures, Korea Investment Partners, Index Ventures, Quadrille Capital, and Red Bull Ventures. The company plans to use the funding for research and development, expanding its San Francisco and Seoul operations, and opening new offices in New York and London.

TwelveLabs' core models include Marengo 3.0, a video embedding model, and Pegasus 1.5, which converts video into structured data including scene boundaries, entities, temporal segments, and semantic context. Both models are distributed through Amazon Bedrock and TwelveLabs' own API. The company recently launched Rodeo, its first application-layer product. AWS is TwelveLabs' preferred cloud provider under a multiyear commitment that includes optimizing video inference workloads on AWS Trainium chips, with new TwelveLabs models launching first on AWS.

NEA backed TwelveLabs in the early days of video intelligence - and that conviction has only deepened as they have shaped this exciting category. Jae and his team built the foundation models that set the standard for what video understanding can be. They're purpose-built to turn millions of hours of footage into intelligence that compounds over time, and as video understanding moves from novel capability to essential infrastructure, we believe TwelveLabs is the company defining what comes next, says Tiffany Luck, Partner, NEA.

TwelveLabs was the first investment NAVER Ventures ever made, and co-leading their Series B is the strongest expression of conviction we can offer. When we first met Jae, he described TwelveLabs as the visual cortex for future AI agents. That framing has only sharpened over time. As agents and machines move into roles where they need to perceive and reason about the physical world, video is the modality that matters most, and TwelveLabs is the team building that capability with the depth the problem demands, says YJ Park, General Partner, NAVER Ventures.

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. 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, says Jason Bennett, VP and Global Head of Startups and Venture Capital, AWS.

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. 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. This funding lets us take TwelveLabs from foundation models to a full-stack video cognition system that meets every user, every agent, and every machine that needs to understand the world, says Jae Lee, CEO and Co-Founder, TwelveLabs.

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