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Higgsfield launches enterprise marketing agents built on NVIDIA, claiming 78 per cent of Fortune 500 as clients

Higgsfield launched Supercomputer 2.0, an enterprise marketing automation agent built on NVIDIA’s Agent Toolkit, claiming 78% of Fortune 500 companies use its platform. The AI video startup says the system can run entire campaigns autonomously and produced a 95-minute feature film in 14 days to demonstrate its capabilities.

read4 min views1 publishedJun 19, 2026
Higgsfield launches enterprise marketing agents built on NVIDIA, claiming 78 per cent of Fortune 500 as clients
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TL;DR

Higgsfield launched Supercomputer 2.0, an enterprise marketing automation agent built on NVIDIA’s Agent Toolkit. The company claims 78 per cent of Fortune 500 companies use its platform, though the figure has not been independently audited.

The AI video startup says its Supercomputer 2.0 can run entire campaigns autonomously, from ideation to live posting. It also made a 95-minute feature film in 14 days to prove the technology works.

Higgsfield launched Supercomputer 2.0, an enterprise marketing automation agent built on NVIDIA’s Agent Toolkit. The company claims 78 per cent of Fortune 500 companies use its platform, though the figure has not been independently audited.## TL;DR

Higgsfield, the AI video startup valued at $1.3 billion, on Wednesday launched what it calls the first enterprise-ready autonomous agent framework for marketing automation. Supercomputer 2.0, built on NVIDIA’s Agent Toolkit and powered by Nemotron models, adds safety controls and granular permissioning to a platform the company says is already used to create campaigns for 390 Fortune 500 companies.

That adoption figure, which Higgsfield has not independently verified through a third-party audit, would make it one of the most widely deployed AI creative tools in corporate marketing. The company says its net revenue has nearly quadrupled in the first five months of 2026, driven by 30 per cent month-over-month growth.

The system orchestrates more than 35 image, audio, and video models, including Higgsfield’s proprietary Soul models built on NVIDIA Blackwell architecture, alongside leading large language models. NVIDIA’s Nemotron models power specialised subagents that handle tasks running continuously inside every campaign.

Supercomputer 2.0 ships with more than 20 production pipelines covering TV commercials, product reels, Amazon listing generators, and AI podcasts. The agent is designed to manage the full marketing lifecycle, from ideation and creative production to posting and autonomous optimisation, in a single interface.

Three capabilities are designed to make it deployable inside enterprise organisations: policy guardrails that screen every action for data leaks, permissioning controls that define what the agent may do, and an auditability layer for compliance teams. The auditability feature remains on the roadmap rather than shipping at launch, a distinction worth noting for enterprises evaluating the product today.

Higgsfield says 12,000 businesses across six continents use the platform, with commercial advertising accounting for 70 per cent of activity. Its Marketing Studio reportedly attracted 68,000 marketers in its first 30 days.

The company raised $80 million in a Series A extension led by Accel in January 2026, following a $50 million Series A in September 2025, bringing total funding to approximately $138 million. Higgsfield was founded in 2023 by Alex Mashrabov, the former head of generative AI at Snap who previously co-founded AI Factory, the company behind Snapchat Lenses.

“We went from product concept to running video ads in 15 minutes, a process that used to take weeks,” said Sean Frank, chief executive of Ridge, a men’s accessories brand. WPP, the world’s largest advertising network, said it is “excited to explore” how it could build solutions with Higgsfield, though the language stops short of a formal partnership.

Higgsfield’s creative ambitions extend beyond marketing clips. In May, a 15-person team used the Supercomputer to produce Hell Grind, a 95-minute AI-generated action fantasy film, in 14 days for reportedly less than $500,000, a fraction of the roughly $50 million a comparable traditional production would cost.

The film premiered in Cannes during the festival period but was not part of the official programme. Variety reviewed it and described the visuals as strikingly realistic, though the production drew criticism from filmmakers concerned about AI’s impact on the industry.

The timing works in Higgsfield’s favour. OpenAI shut down Sora in April after the consumer app collapsed below half a million users and burned roughly $1 million a day in compute, and at least one other AI film at Cannes was left without its model when the service went dark.

Higgsfield is not building in a vacuum. Zyg, founded by the IronSource team, raised $60 million for agentic AI that automates e-commerce advertising, while Gradial raised $65 million for its own agentic enterprise marketing suite.

NeoCognition raised $40 million on the thesis that self-learning agents need to be fundamentally different from the current generation of capable-but-inconsistent generalists. Meta’s Advantage+ suite already handles creative generation and targeting for 8 million advertisers.

McKinsey estimates that agentic AI could support up to two-thirds of current marketing activities and accelerate campaign creation by up to 15 times, but its research also found that fewer than 10 per cent of chief marketing officers have deployed end-to-end workflows that generate measurable value. The gap between what the technology promises and what enterprises have captured remains wide, and Higgsfield’s pitch is that its enterprise safety layer is the missing piece.

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