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Scale AI CFO Dennis Cinelli.

Courtesy of Scale AI.

After Meta shocked the tech world in June by announcing plans to invest $14.3 billion in Scale AI, primarily as a way to hire the startup’s founder, Alexandr Wang, and a handful of his employees, the future of Scale was immediately thrown in doubt.

OpenAI soon disclosed that it had been winding down its work with Scale, which prepares the data that artificial intelligence labs and big tech companies use to train their models. Companies including Google and Elon Musk‘s xAI also paused work with Scale after the deal, according to multiple media reports. 

But almost five months after the blockbuster announcement, Scale AI CFO Dennis Cinelli has a very different message to share. The 1,000-plus person company, he says, is alive and well.

“People mischaracterize this deal as some sort of acquihire or some sort of licensing deal, which is not true,” Cinelli, who joined Scale in 2022, told CNBC in an interview. “We’re a company that has signed some of the best deals we have had in the history of our company, just in the last two, three months.”

Founded in 2016, Scale is best known for its data business where it competes with companies including Appen, Surge AI and Mercor. Scale also has an applications business that creates custom solutions to help governments and large enterprises deploy AI. The U.S. Department of Defense signed a $99 million contract with Scale in August, followed by another $100 million contract in September. 

Scale AI CEO departs for Meta in Zuckerberg’s latest AI gambit

Cinelli, 42, said both parts of the business are growing and bringing in revenue that’s “well into the nine figures,” though he declined to share more specific revenue numbers. The startup generated close to $1 billion in revenue last year, before the Meta deal, a spokesperson told CNBC in August.

Whether Scale has a viable path forward has been a big topic in Silicon Valley. The Meta transaction was lumped in with a number of acquihires that have taken place in the industry, though at a notably higher price. Since early last year, Microsoft, Amazon and Google have each orchestrated deals to bring in top AI talent and license certain technology without having to face the regulatory hassles that come with full-blown acquisitions.

In July, Google spent about $2.4 billion to hire Windsurf co-founder and CEO Varun Mohan and other senior research and development employees. The agreement didn’t include an investment and came with a nonexclusive license to some of Windsurf’s technology.

Already exited?

FILE PHOTO: Jason Droege speaks at the WSJTECH live conference in Laguna Beach, California, U.S. October 22, 2019.

Mike Blake | Reuters

Cinelli said that Scale continues to work with “all the major AI labs and tech companies,” though he declined to comment on specific customers.

“We had conversations, everyone had questions, naturally,” he said. “We’re still an independent company, we’re not captive to Meta, we’re still in business with all our customers. Once we’ve gone through those conversations, I think everyone kind of understood.” 

OpenAI, Google and xAI are not currently listed as customers on Scale’s website, and representatives from the companies didn’t respond to CNBC’s request for comment. Meta is named as a client.

Scaling after Wang

Wang, who’s now 28, became the world’s youngest self-made billionaire by building Scale, though he lost that title to Polymarket founder Shayne Coplan, 27, in October, according to Forbes. Wang’s departure was a big loss for the company, but Cinelli said the “vast majority” of employees are still there. 

With its investment, Meta has a 49% stake in a company valued on paper at $29 billion. But Meta has no voting power, a Scale spokesperson told CNBC in June, and there’s no product integration between the two companies.

Cinelli said Scale’s data business has grown every month since the Meta deal, and its applications business has doubled in the second half of 2025 compared with the first half. Scale expects the applications unit to be the primary revenue driver for the company in the future, Cinelli said.

Still, Scale has resized. In July, Droege shared that the company was laying off 200 full-time employees, or roughly 14% of its workforce.  

“These changes will make us more nimble — enabling us to react more quickly to shifts in the market and customer needs,” Droege wrote in a memo at the time.

On Tuesday, Scale said it’s looking to hire 200 people for new roles across all areas of the business. The company is also expanding to larger offices in New York, Washington, D.C., St. Louis and London.

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Scale’s largest hub is in San Francisco, where it occupies about 180,000 square feet of space that was previously used by Airbnb.

“We’re doubling down on growth,” Cinelli said.  

Scale still has a long way to go to justify its latest valuation, which is more than double its $13.8 billion value from its last fundraise in 2024. Cinelli said he’s confident the issue will “solve itself.”

The company has $1 billion on the balance sheet, Cinelli said, so it doesn’t need to raise more money anytime soon. Scale also has a new focus, which Cinelli said has helped in recruiting, pushing its offer acceptance rate to the highest ever.

Under Wang’s leadership, Scale’s mission was to “strengthen human sovereignty.” In an all-hands meeting in September, Droege introduced a new mission — “to develop reliable AI systems for the world’s most important decisions,” according to a spokesperson. 

Cinelli said it all adds up to a trajectory that stands in stark contrast to public perception.

“The results we’re putting up, it’s not a company that’s like a zombie company,” he said.

WATCH: What Meta’s Scale AI deal reveals about the battle for top AI talent

What Meta's Scale AI deal reveals about the battle for top AI talent

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Software startup deploys Singapore’s first quantum computer for commercial use

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Software startup deploys Singapore’s first quantum computer for commercial use

Inside Horizon Quantum’s office in Singapore on Dec. 3, 2025. The software firm claimed it is the first private company to deploy a commercial quantum computer in the city-state.

Sha Ying | CNBC International

Singapore-based software firm Horizon Quantum on Wednesday said it has become the first private company to run a quantum computer for commercial use in the city-state, marking a milestone ahead of its plans to list in the U.S.

The start-up, founded in 2018 by quantum researcher Joe Fitzsimons, said the machine is now fully operational. It integrates components from quantum computing suppliers, including Maybell Quantum, Quantum Machines and Rigetti Computing.

According to Horizon Quantum, the new computer also makes it the first pure-play quantum software firm to own its own quantum computer — an integration it hopes will help advance the promising technology.

“Our focus is on helping developers to start harnessing quantum computers to do real-world work,” Fitzsimons, the CEO, told CNBC. “How do we take full advantage of these systems? How do we program them?” 

Horizon Quantum builds the software tools and infrastructure needed to power applications for quantum computing systems. 

“Although we’re very much focused on the software side, it’s really important to understand how the stack works down to the physical level … that’s the reason we have a test bed now,” Fitzsimons said. 

Quantum race

Horizon Quantum hopes to use its new hardware to accelerate the development of real-world quantum applications across industries, from pharmaceuticals to finance.

Quantum systems aim to tackle problems too complex for traditional machines by leveraging principles of quantum mechanics.

For example, designing new drugs, which requires simulating molecular interactions, or running millions of scenarios to assess portfolio risk, can be slow and computationally costly for conventional machines. Quantum computing is expected to provide faster, more accurate models to tackle these problems.

A top executive at Google working on quantum computers told CNBC in March that he believes the technology is only five years away from running practical applications.

Still, today’s quantum systems remain in the nascent stages of development and pose many engineering and programming challenges.

Investment in the space has been rising, however, as major tech companies report technological breakthroughs. Alphabet, Microsoft, Amazon and IBM, along with the U.S. government, are already pouring millions into quantum computing.

Investor attention also received a bump in June after Nvidia chief executive Jensen Huang offered upbeat remarks, saying quantum computing is nearing an “inflection point” and that practical uses may arrive sooner than he had expected.

Nvidia CEO: Quantum computing is reaching an inflection point

Nasdaq listing

Horizon Quantum’s announcement comes ahead of a merger with dMY Squared Technology Group Inc., a special purpose acquisition company. The deal, agreed upon in September, aims to take Horizon public on the Nasdaq under the ticker “HQ.”

The software firm said in September that the transaction valued the company at around $503 million and was expected to close in the first quarter of 2026. 

The launch of its quantum computer also helps cement Singapore’s ambition to be a regional quantum computing hub. The city-state has invested heavily in the technology for years, setting up its first quantum research center in 2007.

Before Horizon Quantum’s system came online, Singapore reportedly had one quantum computer, used primarily for research purposes. Meanwhile, U.S.-based firm Quantinuum plans to deploy another commercial system in 2026.

Singapore’s National Quantum Strategy, unveiled in May 2024, committed 300 million Singapore dollars over five years to expand the sector, with a significant portion directed toward building local quantum computer processors.  

In May 2024, the National Quantum Strategy (NQS), Singapore’s national quantum initiative, pledged around S$300 million over five years to strengthen development in the sector, with a significant portion directed toward building local quantum computer processors.

Why Amazon, Google, Microsoft, IBM and numerous startups are racing to build quantum computers

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A little-known startup just used AI to make a moon dust battery for Blue Origin

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A little-known startup just used AI to make a moon dust battery for Blue Origin

Istari Digital CEO Will Roper talks about the AI technology that built the Blue Origin moon vacuum

Artificial intelligence has created a device that turns moon dust into energy.

The moon vacuum, which was unveiled on Wednesday by Blue Origin at Amazon‘s re:Invent 2025 conference in Las Vegas, was built using critical technology from startup Istari Digital.

“So what it does is sucks up moon dust and it extracts the heat from it so it can be used as an energy source, like turning moon dust into a battery,” Istari CEO Will Roper told CNBC’s Morgan Brennan.

Spacecraft carrying out missions on the lunar surface are typically constrained by lunar night, the two-week period every 28 days during which the moon is cast in darkness and temperatures experience extreme drops, crippling hardware and rendering it useless unless a strong, long-lasting power source is present.

“Kind of like vacuuming at home, but creating your own electricity while you do it,” he added.

The battery was completely designed by AI, said Roper, who was assistant secretary of the Air Force under President Donald Trump‘s first term and is known for transforming the acquisition process at both the Air Force and, at the time, the newly created Space Force.

Read more CNBC tech news

A major part of the breakthrough in Istari’s technology is the way in which it handles and limits AI hallucinations.

Roper said the platform takes all the requirements a part needs and creates guardrails or a “fence around the playground” that the AI can’t leave while coming up with designs.

“Within that playground, AI can generate to its heart’s content,” he said.

“In the case of Blue Origin’s moon battery, [it] doesn’t tell you the design was a good one, but it tells us that all of the requirements were met, the standards were met, things like that that you got to check before you go operational,” he added.

Istari is backed by former Google CEO Eric Schmidt and already works with the U.S. government, including as a prime contractor with Lockheed Martin on the experimental x-56A unmanned aircraft.

Watch the full interview above and go deeper into the business of the stars with the Manifest Space podcast.

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Nvidia CEO Jensen Huang talks chip restrictions with Trump, blasts state-by-state AI regulations

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Nvidia CEO Jensen Huang talks chip restrictions with Trump, blasts state-by-state AI regulations

Jensen Huang: State-by-state AI regulation would drag industry to a halt

Nvidia CEO Jensen Huang said he met with President Donald Trump on Wednesday and that the two men discussed chip export restrictions, as lawmakers consider a proposal to limit exports of advanced artificial intelligence chips to nations like China.

“I’ve said it repeatedly that we support export controls, and that we should ensure that American companies have the best and the most and first,” Huang told reporters on Capitol Hill.

Lawmakers were considering including the Guaranteeing Access and Innovation for National Artificial Intelligence Act in a major defense package, known as the National Defense Authorization Act. The GAIN AI Act would require chipmakers like Nvidia and Advanced Micro Devices to give U.S. companies first pick on their AI chips before selling them in countries like China.

The proposal isn’t expected to be part of the NDAA, Bloomberg reported, citing a person familiar with the matter.

Huang said it was “wise” that the proposal is being left out of the annual defense policy bill.

“The GAIN AI Act is even more detrimental to the United States than the AI Diffusion Act,” Huang said.

Nvidia’s CEO also criticized the idea of establishing a patchwork of state laws regulating AI. The notion of state-by-state regulation has generated pushback from tech companies and spurred the creation of a super PAC called “Leading the Future,” which is backed by the AI industry.

“State-by-state AI regulation would drag this industry into a halt and it would create a national security concern, as we need to make sure that the United States advances AI technology as quickly as possible,” Huang said. “A federal AI regulation is the wisest.”

Trump last month urged legislators to include a provision in the NDAA that would preempt state AI laws in favor of “one federal standard.”

But House Majority Leader Steve Scalise (R-LA) told CNBC’s Emily Wilkins on Tuesday the provision won’t make it into the bill, citing a lack of sufficient support. He and other lawmakers will continue to look for ways to establish a national standard on AI, Scalise added.

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