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Moments Lab raised a $24M Series B to accelerate scalable video indexing and discovery

Paris-based Moments Lab raised a $24 million Series B to expand its AI-powered video production tools that help Hollywood studios and media companies create content up to seven times faster by automatically indexing footage and generating rough cuts from text prompts.

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Jun 11, 2025 · 1 min read

Paris-based Moments Lab has secured $24 million in Series B funding led by Oxx, bringing its total funding to $37.4 million as it positions itself at the forefront of AI-driven video production tools reshaping Hollywood.

Founded in 2016 by twin brothers Fred and Philippe Petitpont, the company addresses the entertainment industry's pressing need to produce more content at lower costs for the expanding streaming ecosystem. Their flagship tool, MXT-2, intelligently indexes video footage by identifying people, actions, and generating descriptions—enabling clients to create social media clips and trailers up to seven times faster than manual processes.

Major clients including Warner Bros. Discovery, Amazon Ads, Hearst, and Thomson Reuters are already leveraging the platform, with some reporting doubled social media revenue. The company's newer agentic AI tool transforms raw footage into rough cuts using written prompts, showing particular promise in reality TV production.

Despite Hollywood's traditional wariness of AI due to intellectual property concerns and labor union resistance, Moments Lab is gaining traction as streaming platforms demand increased content output without proportional budget increases. The company trains its models on 1.5 billion assets from open-source and partner content, carefully avoiding client IP.

Looking ahead, Moments Lab expects to enable full-length documentary creation within months and predictive audience optimization tools within a year.


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Ellie Ramirez-Camara
News Editor

Ellie Ramirez-Camara is the News Editor at Data Phoenix, where she writes the daily AI newsdesk — covering model releases, research, funding rounds, and policy across the AI and machine-learning industry. She tracks announcements from labs and startups alike and distills them into clear, source-linked reporting for practitioners.

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