Recently, San Francisco-based AI video intelligence company TwelveLabs (twelvelabs.io) announced the completion of a $100 million Series B funding round. The round was co-led by NEA and NAVER Ventures, with participation from Amazon, Radical Ventures, Index Ventures, and Red Bull Ventures. This brings the company’s total funding to over $207 million (approximately 300 billion Korean won).
TwelveLabs focuses on building multimodal foundational models for native video understanding, rather than simply adding video processing capabilities to traditional large language models. Its core products, the Marengo and Pegasus series models, enable semantic embedding and structured parsing of video content, with applications spanning security monitoring, advertising, and sports analytics. The funds will be used for R&D in its “video cognition system” and global market expansion, with plans to open new offices in New York and London.
The company’s post-funding valuation has not yet been disclosed. Jae Lee, co-founder and CEO of TwelveLabs, said: “Five years ago, we made a contrarian bet: the underlying foundation of machine intelligence is the reality recorded in motion, not language. Language is a downstream product of understanding, while video is the data that understanding really needs to answer.”
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