Higgsfield company profile: valuation, funding & revenue

This Higgsfield company profile covers the company's valuation, revenue, funding rounds, investors and history. Higgsfield works in AI, with a focus on video generation. It was founded in 2023 and is headquartered in San Francisco, California, United States. Its latest valuation on record is US$5.4 billion (August 2026). Every figure links to a public source, and anything the company hasn't disclosed is marked as such.

Revenue

About US$700 million — Annualised revenue (company-reported), as of August 2026. Source: Business Today (Malaysia).

Funding history

Higgsfield timeline

Key dates from the sources on this page, oldest first. Metric snapshots are listed after the funding events.

• 2023 — Higgsfield is founded in San Francisco by Alex Mashrabov (CEO).
• Jan 2026 — Series A extension: US$80M, valuing the company at US$1.3B. Investors: Accel (lead).
• Aug 2026 — Series B: US$400M, valuing the company at US$5.4B. Investors: DST Global (lead); Goldman Sachs Alternatives, Intel Capital.

Investors

Overview

Higgsfield is an AI video creation platform used by creators, marketers and businesses to produce short videos, images and ads. It combines its own tools with leading video and image generation models, giving users cinematic camera movements, effects, consistent characters and templates designed for social media and advertising. Rather than competing only on building the underlying models, Higgsfield focuses on the creative workflow: making it easy to get usable, eye-catching video quickly. Its rapid growth in 2025 and 2026 made it one of the fastest-scaling AI application companies.

Higgsfield was founded in 2023 by Alex Mashrabov, who previously led generative AI at Snap after Snap acquired his earlier startup, AI Factory. The company has strong ties to Kazakhstan, where much of its team has worked, and has been described as Kazakhstan's first unicorn. In January 2026 it closed an US$80 million Series A extension led by Accel at a US$1.3 billion valuation. In August 2026 it raised a US$400 million Series B led by DST Global, with Goldman Sachs Alternatives and Intel Capital, at US$5.4 billion, and said annualised revenue had reached about US$700 million, according to Business Today.

Products

• AI video generation: creating video clips from text prompts and images, using multiple models.
• Camera controls and effects: preset cinematic movements and visual effects.
• Character consistency: keeping the same person or product consistent across shots.
• Ads and marketing tools: templates for product videos and social ads.
• Image generation and editing: creating and modifying visuals.

Funding

Higgsfield raised seed funding in 2024, followed by a Series A and an US$80 million extension led by Accel in January 2026 at US$1.3 billion. In July 2026 it was reported to be in talks to raise up to US$500 million at a US$5 billion pre-money valuation. In August 2026 it announced a US$400 million Series B led by DST Global, with new investors Goldman Sachs Alternatives and Intel Capital, at a US$5.4 billion post-money valuation.

Business model

Higgsfield sells subscriptions with credits for generating content, with higher tiers for professionals and businesses. The company said corporate clients now generate most of its revenue, up from less than 25% in January 2026. Its costs include paying model providers and computing, so margins depend on pricing relative to generation costs.

Competition

Higgsfield competes with Runway, Pika, Luma's Dream Machine from Luma AI, OpenAI's Sora app, Google's Veo tools, Kling, Hailuo, CapCut and Canva's AI features. Avatar video companies such as Synthesia serve corporate video. Infrastructure providers such as Fal.ai supply models to many apps. Higgsfield's differentiation is its creator-focused workflow and speed of product releases.

Higgsfield at a glance

Higgsfield is an AI video platform founded in 2023 by former Snap generative AI head Alex Mashrabov. It helps creators and businesses make videos and ads with AI. It was valued at US$1.3 billion in January 2026 and raised a US$400 million Series B led by DST Global at US$5.4 billion in August 2026, reporting about US$700 million in annualised revenue.

Timeline

• 2023: founded by Alex Mashrabov.
• 2024: launches mobile and web video tools; raises seed funding.
• 2025: grows rapidly with cinematic video features.
• January 2026: US$80 million extension at US$1.3 billion.
• June 2026: crosses US$500 million annualised revenue run rate, according to reports.
• August 2026: raises US$400 million at US$5.4 billion.

Why AI video is growing so fast

Short-form video dominates social media and advertising, but producing it requires cameras, actors, editing skills and time. AI video tools can create usable clips in minutes for a fraction of the cost. Marketers can test many ad variations, small businesses can create product videos without studios, and creators can produce effects that once required visual effects teams. As model quality improved in 2025 and 2026, demand surged.

Application layer versus model layer

Some AI video companies build their own models, which requires large investment in research and computing. Others, like Higgsfield, focus on the application layer, combining models from multiple providers with their own tools and user experience. Application companies can move faster and use the best model for each task, but they depend on model providers and must differentiate through workflow, brand and distribution.

Who funds Higgsfield

Higgsfield's investors include DST Global, Goldman Sachs Alternatives, Intel Capital and Accel.

Valuation context

A fourfold valuation increase in about seven months, backed by reported revenue growth, made Higgsfield one of the most valuable AI video companies. Our guide to AI video generation companies compares it with peers.

Risks

• Model dependence: it relies on models from other providers.
• Competition: large platforms offer AI video tools, sometimes free.
• Content concerns: deepfakes, copyright and likeness rights create legal risks.
• Revenue quality: company-reported figures and subscription churn should be watched.

Questions for buyers

• Who owns the rights to generated content?
• Which models power each feature?
• How are credits consumed?
• What safeguards exist against misuse?

How creators use Higgsfield

A small skincare brand wants a series of short videos for social media to launch a new serum. Instead of hiring a production crew, its marketing manager uploads product photos to Higgsfield, chooses a template for product showcase ads, and writes a short description of the mood and setting. The platform generates several clips with smooth camera moves around the bottle, lighting effects and a consistent model character applying the product. The manager tweaks prompts, selects the best versions, adds captions and exports them in vertical format. In an afternoon, the brand has a set of ads to test across platforms. If one performs well, it can generate variations quickly to keep audiences engaged.

Professional creators use the same tools differently, combining Higgsfield clips with live footage, music and editing software to create music videos, short films and branded content. Agencies use it to produce concepts for clients before committing to expensive shoots. In each case, the value lies in speed and the ability to try many ideas cheaply.

Revenue growth and what it shows

Higgsfield's reported growth from hundreds of millions to about US$700 million in annualised revenue within months is unusual even by AI standards. It suggests strong demand from businesses for practical creative tools, not just experimentation. The shift toward corporate customers is important because businesses typically pay more and churn less than individual hobbyists. Investors will watch whether this growth continues as competitors improve and as the novelty of AI video fades.

What to watch

Watch revenue growth, enterprise adoption, margins and how it responds to competition from model makers.

Takeaways

Marketers and creators can produce video quickly with AI. Founders can see how application companies can scale on top of others' models. Investors should watch model dependence and margins.

Sources

Every figure on this page comes from the public sources below. Where sources disagreed, we used the company's own announcement or a primary news report. Private-company data changes; check the date beside each figure.

1. Business Today (Malaysia)
2. bne IntelliNews