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AI video generation platform Higgsfield has closed a $400 million funding round at a post-money valuation of $5.4 billion, a more than fourfold increase from its $1.3 billion valuation just eight months ago. The round was led by DST Global, Goldman Sachs, Liberty Global, and Intel. Founded by former Snap executive Alex Mashrabov, the company has seen its annualized revenue surge from $20 million a year ago to $700 million, with enterprise customers now accounting for the majority of revenue—up from less than 25% in January—marking a successful pivot from entertainment filters to enterprise marketing SaaS. Hundreds of DTC brands, including Dollar Shave Club, now use the platform to batch-generate marketing videos daily. The new capital will fund enterprise product development, security infrastructure, and compute capacity reservations. Higgsfield’s rapid growth stands in stark contrast to OpenAI’s shuttering of Sora, which was forced offline due to an estimated $15 million daily inference cost.
Key Elements
Higgsfield, an AI video generation platform founded just two years ago, announced on Monday (the 17th) the completion of a $400 million (approximately NT$13 billion) funding round at a post-money valuation of $5.4 billion (approximately NT$170 billion). The round was led by DST Global, Goldman Sachs, Liberty Global, and Intel, with participation from Tribe Capital, Smash Capital, Fifth Wall, Valor Capital, and other institutional investors. The capital will primarily fund enterprise-grade product development, security infrastructure, and compute capacity reservations.
This marks Higgsfield’s second funding round in just eight months. In January, the company raised $80 million (approximately NT$2.5 billion) at a $1.3 billion (approximately NT$41 billion) valuation. The current valuation represents a more than fourfold increase, underscoring capital markets’ strong endorsement of AI video’s shift “from novelty to monetization.”
The Critical Pivot from Entertainment Filters to Enterprise SaaS
Higgsfield was founded by former Snap executive Alex Mashrabov and officially launched in 2025. Its product positioning initially resembled Snapchat face filters, but in just one year, the company’s annualized recurring revenue (ARR) skyrocketed from approximately $20 million (approximately NT$600 million) to $700 million (approximately NT$22 billion)—a more than 35-fold increase. The platform has surpassed 30 million cumulative users across 238 countries and regions, with the United States as its largest market.
The more critical inflection point lies in the customer mix. In an interview with the Financial Times, Mashrabov revealed that enterprise customers accounted for less than 25% of revenue in January, but now “the majority of revenue comes from enterprise customers, and the new capital will help us accelerate our move upmarket.”
This “move upmarket” specifically means transitioning from a consumer entertainment tool to an enterprise marketing subscription service. Higgsfield spans three major domains—social media marketing, entertainment, and the creator economy—but its core use case has evolved into helping brands batch-generate multiple AI videos daily, rather than producing single campaign assets.
Mashrabov said that since May, multiple brands including Dollar Shave Club have begun building AI-driven marketing systems. The brand’s CMO has publicly mentioned Higgsfield, and hundreds of similar DTC (direct-to-consumer) brands across the United States are using the platform to produce multiple videos daily.
“Social media teams rely on AI to keep pace with the rapid content iteration cycle while reducing dependence on expensive creative agencies,” Mashrabov said. “The face filters I developed at Snapchat were primarily for teenage entertainment. At Higgsfield, we’re changing how large enterprises execute marketing campaigns.”
Market Size and the Compute Arms Race
Goldman Sachs estimates that the global creator economy encompasses approximately 50 million participants, with the market projected to grow from $250 billion (approximately NT$8 trillion) in 2023 to $480 billion (approximately NT$15.3 trillion) by 2027, driven by influencer marketing and short-form video advertising.
According to the latest data from The Business Research Company, global digital advertising spending is expected to reach $1.1 trillion (approximately NT$35 trillion) by 2030, representing a compound annual growth rate of 8.6%. Higgsfield’s enterprise marketing video segment sits squarely at the intersection of these two major trends.
Key financial metrics for Higgsfield:
| Metric | One Year Ago | Current |
|---|---|---|
| Annualized Revenue (ARR) | $20 million | $700 million |
| Enterprise Revenue Share | Under 25% (January) | Majority of revenue |
| Valuation | $1.3 billion (January) | $5.4 billion |
| Cumulative Users | — | 30 million+ |
Note: The “one year ago” figure for enterprise revenue share uses January as the baseline, reflecting structural changes over an eight-month period.
However, Mashrabov acknowledged that compute resources are extremely scarce, and the new funding will enable the company to lock in reserved compute capacity at scale, thereby delivering “industry-leading service levels.” In AI video generation, model inference costs and GPU supply are the critical variables determining product margins. Securing compute capacity in advance is equivalent to locking in competitive moats ahead of time.
The Sora Contrast: Fire and Ice in AI Video
Higgsfield’s rise stands in stark contrast to the fate of OpenAI’s Sora. OpenAI shut down the Sora video application in 2026, which generated only $2.1 million (approximately NT$67 million) in revenue over its lifetime while facing heavy cash burn. Reports indicate Sora’s daily inference costs were estimated at a staggering $15 million (approximately NT$500 million)—far exceeding its total revenue.
OpenAI discontinued the Sora application in April and subsequently confirmed it would shut down the underlying API in September. The company attributed the decision to runaway compute costs and meager revenue. Video generation requires substantially more computing power than text or image generation, making cost control an industry-wide challenge. Other video generation competitors have also scaled back operations this year due to similar cost pressures.
Notably, Higgsfield also supports AI-generated films, an application direction that has raised concerns in Hollywood about potential job displacement in creative roles. However, Higgsfield’s current core business focus remains on enterprise marketing content, with film-grade generation not yet a primary revenue driver.
Investor Lineup and Market Signals
Goldman Sachs made this investment through its Equity Growth fund, while Intel has continued to expand its AI-related investments this year, signaling the chip giant’s aggressive push to build an ecosystem beyond its core hardware sales. Other participating investors include Tribe Capital, Fifth Wall, NTT DOCOMO Ventures, Mirae Asset Capital, and Liberty Global’s technology venture arm.
The participation of Goldman Sachs and Intel sends a strong signal of endorsement from traditional financial institutions and chip giants for the commercialization of AI video applications. In the crowded AI video space, Higgsfield stands out with its clear enterprise use case, proven revenue scale ($700 million ARR), and rapidly rising enterprise customer mix.
Analysts note that the AI application layer is shifting from “tools” to “scalable, monetizable enterprise SaaS.” In the near term, the $400 million funding round will strengthen Higgsfield’s leadership position in enterprise marketing tools. In the medium to long term, three variables will determine its trajectory: whether enterprise subscription penetration continues to expand, whether compute costs remain manageable, and whether the company can maintain product differentiation amid rapidly evolving model capabilities.
From Snapchat filters to a $5.4 billion enterprise AI video platform, Higgsfield’s two-year trajectory may well be the quintessential snapshot of AI applications transitioning from “fun” to “profitable.”
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