
AI video startup Higgsfield has announced a $400 million Series B round, valuing the company at $5.4 billion — a fourfold increase from its previous $1.3 billion valuation, which was set just eight months ago. The company, founded in 2023 by former Snap executive Alex Mashrabov, develops tools for creating AI-generated images and videos.
Higgsfield has made a name for itself by screening AI-generated films at Cannes and in New York, and offers two main product lines: Cinema Studio for filmmakers and Marketing Studio for marketing and advertising teams. In the funding announcement, Higgsfield cited $700 million in annualized revenue and a user base of 30 million across 200 countries.
The company has also seen growing traction in the enterprise sector, claiming partnerships with 390 Fortune 500 companies. Mashrabov said he expects "enterprise adoption of video AI to become much more deeply embedded in everyday marketing and creative workflows."
The new capital will support hiring and product development as well as compute costs. Video generation is compute-intensive; Mashrabov noted that one minute of video is equivalent to processing 60,000 words. Securing reliable compute capacity is essential to competing with other players such as Synthesia and Runway.
DST Global led the round, with participation from Goldman Sachs Alternatives, Valor Capital, and Tribe Capital.
The rapid change in valuation is notable because it arrived within the same year as Higgsfield's earlier funding milestone. Still, the revenue, user and enterprise-customer figures in the announcement are company-reported metrics. They show how Higgsfield is presenting its growth to investors, but they do not by themselves establish how much of that usage is recurring or how it compares with rivals on profitability.
The round also highlights a basic constraint facing generative-video companies: growth requires both better creative tools and dependable access to expensive computing infrastructure. Higgsfield is directing the funding toward product development, hiring and compute capacity. That combination will determine whether its film and marketing products can convert early attention into sustained use while competing with established AI-video platforms.
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