AI video startup Higgsfield eyes a $5bn valuation



Higgsfield AI did not exist before March 2025. Fifteen months on, the video startup is in talks to raise money at a $5bn valuation, four times its worth at the start of the year.

The company is seeking $300mn to $500mn, The Information first reported. That would value it at $5bn before the new money, up from $1.3bn in January. DST Global, the fund built by early Facebook backer Yuri Milner, is among the investors in talks to join. The round has not closed.

The pitch is growth of a rare kind. Higgsfield crossed a $500mn annualised revenue run rate this month, according to reporting on the round. That is up from $200mn at the end of 2025. A platform barely a year old now sells at a half-billion-dollar annual pace. Roughly 70 per cent of that activity comes from enterprise customers.

That enterprise tilt is what separates Higgsfield from consumer novelty apps. Brands want ad clips, product shots, and social posts in hours rather than weeks, and they pay per seat and per render. That is a steadier business than viral demos. It is also why investors treat the revenue as durable rather than a passing craze, and why they are willing to pay up for it.

From Snapchat lenses to AI film

Alex Mashrabov founded Higgsfield in 2023. He ran generative AI at Snap and helped build the team behind Snapchat Lenses. The company’s tools turn text and images into video, and it says it generates about 4.5 million clips a day. TNW has covered its push into the enterprise. There, its marketing agents run on Nvidia hardware for hundreds of Fortune 500 brands.

The headline demo is a feature film. In May, a 15-person team used Higgsfield’s system to make Hell Grind, a 95-minute AI action fantasy. They finished it in 14 days for a reported cost under $500,000. Traditional production of that length runs to millions of dollars and many months. The point is not that the film is a classic. It is that it exists at all, made by a handful of people in a fortnight.

The money is chasing AI video

Investors have decided that generating images and video from a prompt is the next big line item. Higgsfield sits in a crowded field with Kling, Runway, Google’s Veo, and OpenAI’s Sora. It recently shared a Cannes stage with China’s Kling to show off AI-made ad work. The valuations reflect the hype. Higgsfield’s own worth has quadrupled in six months, echoing a wider surge across AI startups.

That surge runs on an unusual amount of capital. Venture firms are raising record AI funds, and Accel, which led Higgsfield’s January extension, sits among them. Higgsfield has moved fast through that money. It raised a $50mn Series A last September, an $80mn extension in January, and now a round many times larger. When capital is this cheap for anything labelled AI, a firm that shows real revenue rather than a demo can raise fast and high.

The catch under the numbers

There are reasons to stay careful. The round has not closed, and talks can fall apart or reprice. A revenue run rate is a snapshot, not a promise. It can drop as fast as it climbs if a cheaper rival or a better model appears. AI video is exactly the kind of market where that happens.

The wider worry is the flood. Cheap, fast video generation has already strained platforms. YouTube is cracking down on AI “slop”, and human creators are caught in the sweep. A tool that makes a feature film in a fortnight can also make an ocean of forgettable clips. Higgsfield is betting that enterprises will pay for the good version, not the noise.

For now, the growth is real and the timing is ripe. A startup that did not exist two years ago is raising at $5bn on the strength of half a billion in annual sales. Whether that holds depends on the one thing no valuation can fix: whether the videos keep improving faster than the price keeps falling.



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India debates sovereign AI after the US forced Anthropic to kill Fable 5, with proposals for a $5B fund and calls to embrace open-source models.

When the US government ordered Anthropic to shut down Fable 5 and Mythos 5 on 12 June, the export control directive was aimed at restricting foreign nationals from accessing America’s most capable AI. In India, Anthropic’s second-largest market, it landed as a warning shot about what happens when your AI infrastructure runs on someone else’s politics.

The suspension cut off Indian developers and enterprises from Claude’s most advanced models overnight. India’s Claude run-rate revenue had doubled since October 2025, and Tata Consultancy Services had announced a partnership just one day earlier, on 11 June, to train 50,000 employees on Claude and build a dedicated Anthropic business unit. That deal is now in limbo.

The timing has turned what was already a simmering debate about AI sovereignty into a full strategic reckoning. Proposals that sounded ambitious a week ago now sound urgent.

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Mohandas Pai, former Infosys CFO and one of India’s most prominent tech investors, has called for a ₹50,000 crore (roughly $5 billion) annual sovereign AI fund. He has also proposed a ₹2 lakh crore (approximately $21 billion) credit guarantee to finance cloud infrastructure, hardware procurement, and semiconductor development. The figures dwarf the government’s existing commitment.

India approved its IndiaAI Mission in March 2024 with a budget of ₹10,372 crore, approximately $1.25 billion. The programme has deployed around 38,000 GPUs so far. Pai’s proposal would quadruple annual spending and add a credit backstop an order of magnitude larger.

Sridhar Vembu, the founder of Zoho, has gone further. He argued that India should embrace smaller and open-source models, including Chinese ones, rather than depend on American frontier systems that can be switched off by executive order. “Technology is the ultimate weapon,” Vembu said. “Globalization is dead and Bharat must find her own way ahead.

The argument has teeth because the suspension demonstrated exactly the vulnerability Vembu is describing. Amazon’s CEO reportedly triggered the government crackdown by telling Treasury Secretary Scott Bessent that researchers had used Fable 5 to obtain information that could be used in cyberattacks. Anthropic called the action disproportionate, but compliance was immediate and global.

Policy expert Prasanto Roy put it bluntly: “American AI models are bound to American geopolitics.” For Indian enterprises that had built workflows around Claude, the lesson was that access to frontier AI is a privilege that can be revoked without notice, without consultation, and without regard for the commercial relationships it disrupts.

The Indian startup ecosystem is already adapting. Sarvam, a Bengaluru-based AI company, released 30-billion and 105-billion parameter open-source models at the India AI Impact Summit in 2026. Krutrim, founded by Ola’s Bhavish Aggarwal, has pivoted from building foundational models to providing cloud and AI infrastructure services, reporting ₹3 billion in revenue for fiscal year 2026.

Neither company is close to matching the capabilities of Fable 5 or Mythos 5. But the argument for sovereign AI was never about matching frontier performance immediately. It is about ensuring that the floor does not fall out when Washington makes a unilateral decision about who gets to use which models.

Aakrit Vaish, founder of the AI startup Activate, said the suspension “completely changes things” for the sovereign AI debate. Vijay Rayapati, CEO of Atomicwork, raised concerns about what the precedent means for Indian companies with multi-country teams that depend on American AI providers. If the US can shut off model access to enforce export controls, any country that relies on American AI is one policy decision away from disruption.

Not everyone agrees that India needs to build its own frontier models. Hemant Mohapatra, a partner at Lightspeed Venture Partners, argued that talent and compute access matter more than capital for building competitive AI. India has the engineering workforce, but the compute gap is significant, and closing it requires either massive domestic investment or continued access to foreign cloud infrastructure.

Anthropic opened a Bengaluru office as part of its India expansion, and the TCS partnership was designed to be a cornerstone of its enterprise strategy in the country. Whether those plans survive the suspension intact depends on how quickly Anthropic can restore access and whether Indian enterprises still trust a provider whose most capable models can vanish overnight.

The broader pattern is unmistakable. The US has spent four years tightening controls on AI technology, from chip export restrictions to model-level interventions. Each escalation pushes more countries toward the conclusion that dependence on American AI infrastructure carries political risk. India, with its 1.4 billion people and rapidly growing technology sector, is now asking whether it can afford that risk, and what it would cost to eliminate it.

The Opendoor layoffs in June 2026, which shut the company’s India office and affected roughly 250 employees, added another dimension. CEO Kaz Nejatian cited AI-native teams as the reason, suggesting that some US companies are using AI to reduce their reliance on Indian engineering talent at the same time that India is debating its reliance on American AI. The relationship is becoming less complementary and more competitive.

For now, the sovereign AI proposals remain proposals. Pai’s fund has no legislative vehicle, Vembu’s call for open-source adoption has no coordinated policy framework, and the IndiaAI Mission’s GPU deployment is still in early stages.

But the Anthropic suspension has done something that years of policy papers and conference speeches could not: it has given the sovereign AI movement a concrete, recent, and viscerally felt example of why dependence on foreign AI is a strategic liability. The debate is no longer theoretical.



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