Higgsfield raises $80M Series A after hitting $200M annual run rate

Higgsfield has raised $80 million in a Series A extension, bringing total Series A funding to $130 million. The AI video platform now runs at a $200 million annual rate and serves millions of users daily.

Funding details: $80 million (Series A)

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San Francisco-based Higgsfield announced an $80 million Series A extension, bringing its total Series A funding to over $130 million. The round included participation from Accel, AI Capital Partners, Menlo Ventures, and other investors, valuing the company above $1.3 billion.

The funding follows rapid growth for Higgsfield. Since launching in April 2025, the platform has gained over 15 million users and now generates 4.5 million videos per day. Its content has reached more than 3 billion social media impressions, making it one of the top GenAI platforms for reach.

Most of Higgsfield’s usage comes from social media marketers, with 80% of that segment producing commercial content. The platform is increasingly used as a full production tool, letting teams handle ideation, storyboarding, animation, editing, and publishing all in one system. Some customers are already spending over $200,000 annually on the platform.

CEO Alex Mashrabov said traditional video production can’t keep up with modern marketing needs. He explained that Higgsfield lets creators iterate quickly, giving smaller teams or individuals a chance to outperform large studios online.

Board member Jeff Herbst noted the platform is moving from pilot projects to daily production use across enterprises, signaling real adoption. Antoine Blondeau of Alpha Intelligence Capital said the company has turned speed into a major advantage, letting teams build, ship, and iterate in days instead of weeks.

Higgsfield plans to use the new funding to expand internationally, grow its enterprise offerings, enhance AI models for commercial video, and continue R&D. The company is also improving its API and marketing automation tools for high-volume video production workflows.

Source: Higgsfield ai