TwelveLabs has raised $100 million in Series B funding to expand its video intelligence platform, as demand grows for artificial intelligence systems that can search, analyse, and reason across large video archives. The San Francisco-based company, founded in 2021, develops AI models that help organisations turn video into searchable and structured data. Its technology can analyse video content, generate text summaries, and build memory across large volumes of footage. 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. TwelveLabs said the investment will support further research and development, product expansion, and international growth. The company currently operates in San Francisco and Seoul and plans to open new offices in New York and London. The raise comes as video becomes an increasingly important data source for businesses, governments, and AI developers. While most enterprise AI tools have focused on text, TwelveLabs is targeting the growing need for systems that can interpret movement, speech, sound, and visual context. The company’s Marengo 3.0 model is designed to understand sounds, words, and actions on screen, while its Pegasus 1.5 model converts video into structured data that can be searched and analysed. TwelveLabs initially built its customer base in media and entertainment, where companies manage large archives of video content. It has since expanded into the public sector, advertising, security, sports, and automotive industries. “Five years ago, we made a contrarian bet: the substrate of machine intelligence …
TwelveLabs has raised $100 million in Series B funding to expand its video intelligence platform, as demand grows for artificial intelligence systems that can search, analyse, and reason across large video archives.
The San Francisco-based company, founded in 2021, develops AI models that help organisations turn video into searchable and structured data. Its technology can analyse video content, generate text summaries, and build memory across large volumes of footage.
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.
TwelveLabs said the investment will support further research and development, product expansion, and international growth. The company currently operates in San Francisco and Seoul and plans to open new offices in New York and London.
The raise comes as video becomes an increasingly important data source for businesses, governments, and AI developers. While most enterprise AI tools have focused on text, TwelveLabs is targeting the growing need for systems that can interpret movement, speech, sound, and visual context.
The company’s Marengo 3.0 model is designed to understand sounds, words, and actions on screen, while its Pegasus 1.5 model converts video into structured data that can be searched and analysed.
TwelveLabs initially built its customer base in media and entertainment, where companies manage large archives of video content. It has since expanded into the public sector, advertising, security, sports, and automotive industries.
“Five years ago, we made a contrarian bet: the substrate of machine intelligence is recorded reality in motion, not language,” said TwelveLabs Co-Founder and CEO Jae Lee.
Naver Ventures General Partner YJ Park said video intelligence will become increasingly important as AI agents take on more tasks involving the physical world.
“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,” Park said.
The latest funding positions TwelveLabs as one of the emerging companies building infrastructure for multimodal AI, a fast-growing segment focused on systems that can understand and act on text, images, audio, and video.
