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[funding] · · 1 min read

Higgsfield raises $400M Series B, quadrupling valuation to $5.4B in eight months

The AI video startup is riding a wave of enterprise adoption, with 390 Fortune 500 customers and $700M in annualized revenue.

By ByteBulletin Editors · Editorial Team


Higgsfield, the AI video creation startup founded by former Snap executive Alex Mashrabov, announced Monday that it has raised a $400 million Series B at a $5.4 billion valuation. The round comes just eight months after the company was valued at $1.3 billion, marking a rapid ascent in the competitive AI video space.

The company, which lets users generate AI images and videos, has made headlines for premiering AI-generated movies at Cannes and in New York. Its flagship tools—Cinema Studio for filmmakers and Marketing Studio for marketing and advertising teams—have found particular traction in the enterprise. Higgsfield says it now works with 390 of the Fortune 500 and has 30 million users across 200 countries, with $700 million in annualized revenue.

Mashrabov told TechCrunch that enterprise adoption of video AI is becoming "much more deeply embedded in everyday marketing and creative workflows." That bet is paying off: the company's enterprise business is a key growth driver, and the fresh capital will go toward hiring, product development, and—crucially—compute.

"Video is one of the most compute-intensive domains in AI," Mashrabov explained. "Just one minute of video is like processing 60,000 words." Securing reliable compute capacity has become a necessary expense to stay competitive with rivals like Synthesia and Runway, who are also vying for enterprise video budgets.

DST Global led the round, with participation from Goldman Sachs Alternatives, Valor Capital, and Tribe Capital. The valuation jump—from $1.3B to $5.4B in under a year—signals intense investor appetite for AI video, even as the sector faces questions about unit economics and differentiation.

For developers and technologists, Higgsfield's rise underscores a broader shift: video generation is moving from novelty to business critical. The company's focus on enterprise workflows—rather than consumer virality—suggests that the next battleground in AI video will be about integration, reliability, and cost at scale, not just creative capability.

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