TwelveLabs announced that it has raised $100 million in Series B funding. The round was co-led by NEA and NAVER Ventures, with participation from Amazon, Radical Ventures, Korea Investment Partners, Index Ventures, Quadrille Capital, and Red Bull Ventures.
TwelveLabs is a video intelligence company building systems that enable machines to perceive, understand, and reason about video. The company said the new funding comes as it expands beyond video understanding models into a full-stack agentic intelligence system for video.
The platform combines perception, knowledge, and reasoning into a single architecture. TwelveLabs said this enables organizations and creators to turn large video archives into living, searchable systems that can unlock footage that was previously difficult to analyze, operationalize, or monetize.
The company said video represents the vast majority of the world’s data, but most of it remains opaque and inaccessible. TwelveLabs has gained traction in media and entertainment while expanding into the public sector, where governments are applying video intelligence to mission-critical workflows.
Additional verticals driving demand include advertising, security, sports, and automotive. TwelveLabs said enterprises are moving from experimentation to production-scale deployment of video understanding technology.
TwelveLabs’ technology is built around what it describes as genuine multimodality. The company said its models are designed from the ground up for video rather than using language models that only sample or interpret video indirectly.
Its Marengo 3.0 model is a video embedding model designed to understand sounds, words, motion, and visual context across time. The model turns raw video into a semantic layer that machines and AI systems can search and analyze at scale.
The company’s Pegasus 1.5 model turns video into structured data, including scene boundaries, entities, temporal segments, and semantic context. TwelveLabs said Pegasus functions like a domain-specific language for video understanding, making raw footage parseable by intelligent systems.
Together, Marengo and Pegasus form the perception layer behind TwelveLabs’ platform and the applications built on top of it. Both models are distributed through Amazon Bedrock and TwelveLabs’ own API.
TwelveLabs said its new agentic architecture creates a structured and persistent memory of every video it ingests. The system can then reason across that memory, becoming more capable as it indexes more content and performs more analysis.
The company said this differs from tools that reset with every query or rely on static databases without intelligence. By owning the perception, knowledge, reasoning, and orchestration layers, TwelveLabs said it can deliver cohesive video intelligence across the full stack.
TwelveLabs is also moving up the stack into applications for creators, operators, and decision-makers. The company recently launched Rodeo, its first application-layer product.
Amazon Web Services is TwelveLabs’ preferred cloud provider. The companies have also deepened their strategic partnership through a multiyear commitment that includes optimizing TwelveLabs’ video inference workloads on AWS Trainium chips.
New TwelveLabs models will launch first on AWS. The partnership is intended to support TwelveLabs as it builds the intelligence layer for video at production scale.
TwelveLabs plans to use the Series B funding to invest more heavily in research and development. The company will continue investing in San Francisco and Seoul while supporting geographic growth through new offices in New York and London.
The company is headquartered in San Francisco and has operations in Seoul, New York, Los Angeles, and London. TwelveLabs serves developers, enterprises, and creatives across media, entertainment, advertising, government, security, automotive, and other industries.
KEY QUOTES:
“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.”
Tiffany Luck, Partner at 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. We are proud to co-lead this round.”
YJ Park, General Partner at 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.”
Jason Bennett, VP and Global Head of Startups and Venture Capital at 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. The road to Video Superintelligence starts here.”
Jae Lee, CEO and Co-Founder of TwelveLabs
