Higgsfield is making a bold push into enterprise marketing AI with the launch of Supercomputer 2.0, an autonomous agent framework built on NVIDIA’s Agent Toolkit that the company says can take a campaign from concept to live video ads in under 15 minutes. The startup, founded in 2023 by former Snap generative AI head Alex Mashrabov, is positioning the product as the first enterprise-ready solution of its kind — and backing that claim with some eye-catching adoption numbers.
Summary
Key takeaways
- Supercomputer 2.0, launched June 19, 2026, orchestrates over 35 AI models including proprietary Soul models built on NVIDIA Blackwell architecture.
- Higgsfield claims 78% of Fortune 500 companies use its platform, a figure not independently audited.
- 12,000 businesses across six continents use Higgsfield, with commercial advertising making up 70% of activity.
- The company raised $80 million in a Series A extension in January 2026, bringing total funding to approximately $138 million.
- An auditability compliance layer is a planned feature, not available at launch — a meaningful gap for enterprises evaluating the product today.
What Supercomputer 2.0 actually does
At its core, Supercomputer 2.0 is designed to remove the bottleneck between marketing idea and live campaign. The system coordinates more than 35 image, audio, and video models — including Higgsfield’s proprietary Soul models built on NVIDIA’s Blackwell architecture — alongside leading large language models. NVIDIA’s Nemotron models power specialized subagents that run continuously inside each campaign, handling discrete tasks without human handholding.
The platform ships with more than 20 production pipelines out of the box. Those cover everything from TV commercials and product reels to Amazon listing generators and AI podcasts. The idea is to collapse the entire marketing lifecycle — from ideation and creative production to posting and autonomous optimization — into a single interface.
For enterprises, that kind of scope only matters if the guardrails are real. Higgsfield has built in policy guardrails that screen every agent action for potential data leaks, along with permission controls that define the precise boundaries of what the agent can and cannot do. A third layer — an auditability feature for compliance teams — is still on the roadmap rather than shipping at launch. That distinction matters for any regulated industry evaluating the tool today.
Enterprise features and adoption claims
The adoption numbers Higgsfield is putting forward are striking. The company says 78% of Fortune 500 companies — roughly 390 of the largest corporations in the United States — use its platform. That figure has not been independently audited, and Higgsfield has not provided third-party verification. Taken at face value, it would make Supercomputer 2.0 one of the most widely deployed AI creative tools in corporate marketing history.
Beyond the Fortune 500 claim, the user base the company describes is broader and more verifiable in structure: 12,000 businesses across six continents, with commercial advertising accounting for 70% of all activity. Higgsfield’s Marketing Studio, a product layer within the platform, reportedly attracted 68,000 marketers in its first 30 days.
Sean Frank, chief executive of men’s accessories brand Ridge, offered one of the more concrete testimonials available. “We went from product concept to running video ads in 15 minutes, a process that used to take weeks,” he said. WPP, the world’s largest advertising network, expressed interest in building solutions with Higgsfield, though its language stopped well short of a formal partnership commitment.
The funding story behind the ambition
Higgsfield has moved fast on capital. The company raised $80 million in a Series A extension led by Accel in January 2026, following a $50 million Series A closed in September 2025. Total funding now sits at approximately $138 million — a substantial war chest for a startup that only launched in 2023.
Founder Alex Mashrabov brings credentials that match the fundraising. Before Higgsfield, he led generative AI at Snap and co-founded AI Factory, the company responsible for Snapchat Lenses. That background gives the company credibility in both the AI research and consumer-scale production sides of the business.
The Cannes moment
Perhaps the most attention-grabbing demonstration of what Higgsfield’s technology can do came not from a marketing campaign but from a film. In May 2026, a 15-person team used the Supercomputer platform to produce Hell Grind, a 95-minute AI-generated action fantasy film, in 14 days for reportedly less than $500,000. The film premiered in Cannes during the festival period — not as part of the official programme, but on the same stage nonetheless.
Variety reviewed it and described the visuals as strikingly realistic. The production also drew criticism from filmmakers concerned about what fully AI-generated features mean for the industry’s workforce. That tension is unlikely to go away, and it follows Higgsfield wherever the Hell Grind story travels.
A crowded race for marketing’s AI layer
Higgsfield is not building without competition. The agentic AI marketing space has become one of the most contested corners of enterprise software in 2026. Zyg, founded by the IronSource team, raised $60 million for an agentic platform targeting e-commerce advertising. Gradial raised $65 million for its own enterprise marketing suite. NeoCognition secured $40 million on the thesis that self-learning agents need a fundamentally different architecture than today’s generalist models.
Then there is Meta. Its Advantage+ suite already handles creative generation and ad targeting for 8 million advertisers — at a scale none of the startups can yet match.
The broader market picture adds an important layer of context. McKinsey estimates that agentic AI could support up to two-thirds of current marketing activities and accelerate campaign creation by as much as 15 times. But the same research found that fewer than 10% of chief marketing officers have deployed end-to-end AI workflows that generate measurable value. The gap between what the technology promises and what companies have actually captured remains wide.
That gap is precisely what Higgsfield is betting its enterprise safety layer can close. Whether policy guardrails and a forthcoming auditability feature are enough to move cautious CMOs off the sidelines — especially while that compliance layer remains unshipped — is the real question the market will answer over the next 12 months.
FAQ
What is Higgsfield’s Supercomputer 2.0?
Supercomputer 2.0 is an enterprise marketing automation agent built on NVIDIA’s Agent Toolkit. It orchestrates over 35 AI models — including proprietary Soul models on NVIDIA Blackwell architecture — to manage the entire marketing lifecycle, from creative ideation through to autonomous campaign optimization.
How widely is Higgsfield’s platform adopted?
Higgsfield claims its platform is used by 78% of Fortune 500 companies and 12,000 businesses across six continents. The Fortune 500 figure has not been independently audited by a third party.
What enterprise features does Supercomputer 2.0 offer?
The platform includes policy guardrails to screen actions for potential data leaks and permission controls that define agent boundaries. An auditability layer aimed at compliance teams is planned but has not shipped as of the June 2026 launch.
What notable projects has Higgsfield completed using its AI technology?
Higgsfield produced Hell Grind, a 95-minute AI-generated action fantasy film completed by a 15-person team in 14 days for under $500,000. The film premiered at Cannes in May 2026 and received coverage from Variety, which described its visuals as strikingly realistic.
Article produced with the assistance of artificial intelligence and reviewed by the editorial team.
