The business, founded in 2021, has expanded from video understanding models to developing an agentic intelligence system.

Organisations can use it to search and analyse past video archives and generate text from videos.  The system builds a memory of videos it ingests and then uses agentic AI to reason across them.

TwelveLabs’ Marengo 3.0 model, released late last year, understands sounds, words and motions on screen, while its Pegasus 1.5 model is used to turn video into structured data.

The funding 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.

Video represents the majority of the world’s data and businesses are increasingly deploying video understanding technology.

TwelveLabs established a customer base in media and entertainment and now also works with the public sector, including with governments to apply video intelligence. Other sectors include advertising, security, sports and automotive.

The company will use its Series B funding to invest more in research and development. In addition to its locations in San Francisco and Seoul, the company will also open new offices in New York and London to support geographic growth and meet demand from global customers.

“Five years ago, we made a contrarian bet: the substrate of machine intelligence is recorded reality in motion, not language,” said Jae Lee, chief executive and co-founder of TwelveLabs. “We have spent half a decade building the perception, knowledge, and reasoning architecture to close that gap.”

YJ Park, general partner, Naver Ventures, said: “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.”