Stock Markets January 30, 2026

Higgsfield Secures $80 Million to Scale AI Video Platform, Valuation Tops $1.3 Billion

San Francisco startup reports rapid usage growth and a $200 million annualized run rate projection while clarifying that figure is not recognized revenue

By Priya Menon
Higgsfield Secures $80 Million to Scale AI Video Platform, Valuation Tops $1.3 Billion

Higgsfield, an AI video generation startup, raised $80 million in a Series A extension that values the company at more than $1.3 billion. The round included Accel, GFT Ventures and Menlo Ventures. The company reported a $200 million annualized run rate projection, which it says is not recognized revenue, and plans to expand enterprise sales, international presence and headcount.

Key Points

  • Higgsfield raised $80 million in a Series A extension, valuing the company at over $1.3 billion - impacts AI software and enterprise technology markets.
  • The company reports a $200 million annualized run rate projection, which it clarifies is not recognized revenue - relevant to market and investor assessments of revenue momentum.
  • Higgsfield integrates third-party foundational models and focuses on tools for social media marketers, advertisers and enterprise clients - affecting advertising, media production and enterprise software sectors.

(Note: the company says the $200 million figure is a projection and is not recognized revenue.)

Higgsfield, a San Francisco-based developer of AI-powered video production tools, has closed an $80 million extension to its Series A financing, taking the startup's valuation above $1.3 billion, the company said. The funding round drew participation from Accel, GFT Ventures and Menlo Ventures as investors move to back firms applying generative AI to industry-specific workflows.

The company reported it has reached a $200 million annualized run rate, a figure it characterizes as a projection rather than recognized revenue. Management emphasized that the metric is a forward-looking pace number and not reflected as booked sales.

Higgsfield positions itself not as a competitor to large foundational model providers but as a platform integrator. Instead of attempting to build its own foundational models, the firm incorporates third-party models into an end-to-end, browser-based workflow, aimed at preserving consistency in characters and branding across AI-generated video content.

"We minimize the production tax so that, eventually, better stories and better ideas win," said Alex Mashrabov, Higgsfield's chief executive, describing the company's strategy to chain multiple AI systems through a proprietary reasoning engine. The approach is intended to maintain coherence across generated media and to serve production pipelines for marketing and social media teams.

Founded in 2023, Higgsfield released its browser-based product in March 2025. The company reports that social media marketers comprise about 85% of platform usage, and that the platform enables end-to-end workflows within a single system.

Investor interest in the AI video space has surged, with a range of startups and research labs either developing powerful base models or building applications tailored to filmmakers, advertisers and enterprise users. Higgsfield's backers say the market for AI-generated content among social media marketers could rival traditional entertainment markets.

Jeff Herbst, managing partner at GFT Ventures and a member of Higgsfield's board, pointed to the startup's unusually rapid revenue trajectory as a central reason for backing the company. "They had scaled to around $10 million in ARR from zero in a matter of weeks, and we’d never seen anything like it," he said.

Higgsfield plans to allocate the newly raised capital to three main priorities: expanding enterprise sales efforts, growing internationally and investing further in research and development. The company also intends to increase headcount substantially, moving from nearly 70 employees today to approximately 300 by the end of the year.


Key contextual takeaways below highlight the areas of market impact and operational focus arising from this funding and the company's stated plans.

Risks

  • The $200 million annualized run rate is a projection and not recognized revenue - introduces uncertainty in revenue recognition and financial comparability for investors and partners.
  • Reliance on third-party models rather than developing in-house foundational models may create dependency on external providers - this could affect product continuity and competitive positioning.
  • Rapid planned headcount growth from about 70 to roughly 300 employees within a year creates execution and integration risks during scale-up - this affects operations and working-capital dynamics.

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