Higgsfield, the startup behind one of the most widely used AI video creation platforms, has raised $400 million in Series B financing at a $5.4 billion valuation — a fourfold jump in roughly eight months that ranks among the fastest valuation surges of the current AI boom.
The round was backed by Goldman Sachs, DST Global, Liberty Global and Intel, with participation from Tribe Capital, Smash Capital, Fifth Wall, Valor Capital, Mirae Asset Capital and NTT DOCOMO Ventures, according to Tech Funding News. The Financial Times first reported the valuation, and Reuters noted that the company's worth has soared fourfold in six months on demand for AI-generated content. The company's announcement, distributed via PR Newswire, put annualized revenue at $700 million, while Tech Funding News reports the figure at roughly $500 million — up from about $200 million at the end of 2025. Either way, the trajectory is steep. For more context on this story, see our ongoing breaking AI news.
From $1.3 Billion to $5.4 Billion in Months
The speed of Higgsfield's ascent is written in its cap table. In January, the company closed an $80 million extension to its Series A, taking that round to $130 million with Accel, GFT Ventures and Menlo Ventures on board at a reported $1.3 billion valuation.
By July, the startup was already in talks to raise between $300 million and $500 million at a valuation near $5 billion, as Tech Funding News reported at the time. The round has now closed above that target, at $5.4 billion — evidence that demand for exposure to AI video infrastructure outpaced even the company's own expectations.
What Higgsfield Actually Does
Higgsfield was founded in 2023 by Alex Mashrabov, who previously led generative AI at Snap after selling his earlier company, AI Factory, to the social media giant for $166 million in 2020. He started Higgsfield with chief technology officer Yerzat Dulat and co-founder Mahi de Silva.
The founding thesis was contrarian at the time, as Tech Funding News notes: rather than training one large proprietary video model, Higgsfield plugs in several external models and invests heavily in the workflow around them. Users can keep reworking a clip — regenerating, editing and refining — instead of generating a single take and calling it done.
That approach has scaled quickly. The platform launched publicly in 2025 and now counts more than 15 million users across 240 countries, according to the company. But the paying engine is enterprise: businesses now generate the majority of Higgsfield's revenue, up from under a quarter in January. Brands are churning out several videos a day for social media and advertising campaigns rather than commissioning a single asset through an agency.
A Thinning Field of Rivals
The competitive landscape around AI video has shifted dramatically in Higgsfield's favor this year. Runway, its closest Western rival, raised $315 million at a $5.3 billion valuation in February but has since pivoted toward world models for robotics and medicine, largely stepping out of the marketing lane that Higgsfield now dominates.
In China, Kuaishou's Kling has raised nearly $3 billion at an $18 billion valuation, with backing from Alibaba, Tencent and Baidu — but its footprint in Western enterprise marketing remains limited. That leaves Higgsfield unusually well-positioned in the segment where monetization is proven: corporate content production.
Where the Money Goes
Higgsfield says the new capital will fund enterprise product development, security and compute. The last item is the most strategic. Video generation burns far more compute than text-based AI workloads, and running out of GPU capacity is a faster way to lose customers than losing a feature race.
The open question for investors is durability. At $5.4 billion, the company is valued at roughly ten times its reported annualized revenue — a multiple that becomes difficult to defend if growth slows even slightly. The company is betting that enterprise demand for AI video continues to compound at anything close to its current rate, and that its multi-model aggregation strategy keeps it ahead of rivals still wedded to a single proprietary system.
The Enterprise Pivot Behind the Numbers
The most consequential shift at Higgsfield over the past year has been its customer mix. In January, enterprises accounted for less than a quarter of revenue; today, they make up the majority. That inversion matters for the durability of the business: consumer AI video tools have proven prone to churn and subscription fatigue, while marketing departments treat video generation as a recurring production cost.
The use case has also evolved beyond novelty. Rather than commissioning a single campaign asset through an agency, brands now use the platform to produce several videos a day for social channels — a volume of output that traditional production pipelines were never built to handle. That behavioral change, more than any single model release, explains the revenue ramp that made a $5.4 billion valuation defensible to investors.
What It Means for the AI Funding Environment
The involvement of Goldman Sachs and Intel also reflects a broader pattern: strategic and institutional capital is increasingly flowing directly into application-layer AI companies rather than only into the model labs and chipmakers beneath them. For a company whose product sits on top of other people's models, Higgsfield's raise suggests the aggregator layer of the AI stack is becoming an investment category in its own right — one where proven enterprise revenue, rather than frontier research claims, drives the price.
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