Analysis
TwelveLabs raised $100 million in a Series B round co-led by NEA and NAVER Ventures, with Amazon, Radical Ventures, Korea Investment Partners, Index Ventures, Quadrille Capital and Red Bull Ventures also participating, according to [GlobeNewswire](https://www.globenewswire.com/news-release/2026/07/01/3320545/0/en/twelvelabs-raises-100-million-in-series-b-funding-to-build-video-superintelligence.html).
From Video Search to Full-Stack Agents
The company started by building models that could search and understand video content -- finding specific moments, actions or objects across large video libraries -- and is now expanding into what it describes as a full-stack agentic intelligence system for video, combining perception, knowledge and reasoning into a single architecture rather than a narrower search tool.
Competing With the Multimodal Giants
That's a real bet against a difficult trend: Google's Gemini and OpenAI's latest models are adding native video understanding directly into their general-purpose foundation models, narrowing the gap that specialist video-AI companies like TwelveLabs have relied on. Amazon's participation as an investor, alongside its cloud relationship, suggests TwelveLabs is positioning itself as infrastructure hyperscalers want to build on rather than compete with directly.
What to watch: whether TwelveLabs can keep a meaningful accuracy or latency edge over general-purpose multimodal models on video-specific tasks as the gap continues to close, and whether its next round comes with disclosed enterprise revenue rather than just capability benchmarks.
