Techin' Geek

Gabriel Vasquez, a partner at Andreessen Horowitz, recently revealed he took nine flights from NYC to Stockholm in one year. While his visits included stops at companies like Lovable — where he posted from its office — the trips were also about finding future Swedish unicorns before they cross the Atlantic.

This all came to light when news emerged that a16z had led a $2.3 million pre-seed round into Dentio, a Swedish startup that uses AI to help dentists’ practices with admin work. While this is a small check for a firm that just announced new funds totaling $15 billion, it confirms that U.S. VCs are actively seeking deal flow outside of the U.S., even without local offices.

Stockholm is a natural stop for a16z, which previously achieved significant returns from backing Skype, cofounded by Swedish entrepreneur Niklas Zennström. Since then, a significant number of fast-growing startups have been created in the Swedish capital, and the VC heavyweight tracked down where many of them were coming from. 

“We spend a lot of time developing a deep understanding of specific markets and knowing where innovation is emerging. In Sweden, that has meant closely tracking ecosystems like SSE Labs — the startup incubator of the Stockholm School of Economics — and the companies coming out of it,” Vasquez told TechCrunch.

Like fintech giant Klarna, legal AI startup Legora, and e-scooter company Voi, Dentio is an alum of SSE Labs — a startup incubator that has produced several successful Swedish companies. The three former high school classmates Elias Afrasiabi, Anton Li and Lukas Sjögren joined the incubator after reconnecting as students at both the SSE (Stockholm School of Economics) and KTH (Royal Institute of Technology), then joined the incubator with additional backing from KTH’s Innovation Launch program. They tackled a problem close to home: Li’s mom, a dentist, had told them how admin work detracted from clinical care.

The trio intuited that they could leverage LLMs to help people like her — an idea that they also validated with her and her colleagues. This led them to Dentio’s initial product, a recording tool that uses AI to generate clinical notes. But it’s only a matter of time before AI scribes become a commodity product, and Dentio needs to prove its value to dentists so they aren’t tempted to switch providers when that happens, Afrasiabi said.

Potential competitors include fellow Swedish startup Tandem Health, which raised a $50 million Series A round last year to support clinicians with AI across multiple medical specialties. Dentio, by contrast, focuses exclusively on dentists, but it believes it can still reach the scale VCs expect through international expansion

“Now we’re a team of seven people, and we think that it’s possible to build a unified way of handling administration all over Europe, and maybe even all over the world,” Afrasiabi said. While Europe’s healthcare systems are fragmented, they share similarities, and Dentio’s assumption is that what works in Sweden could work elsewhere in the EU.

Dentio prominently features its “Made in Sweden” branding and emphasizes that “all relevant data is processed in Sweden and Finland in compliance with Swedish and EU law.” It signals data protection to privacy-conscious European customers. But it also signals potential to VCs — a callback to Sweden’s history of producing breakout companies.

“We went to zero meetups. I reached out to zero investors,” Afrasiabi said. While the team was heads down building, the word spread out. “I think it was mostly through referrals and people talking to each other that the news got all the way over to the U.S.,” he said.

This wasn’t happenstance: a16z has eyes around the world in order to spot these companies as early as local funds might, Vasquez said. “In Sweden for example, we partnered with top founders abroad like Fredrik Hjelm, founder of Voi, and Johannes Schildt, founder of Kry, by turning them into scouts and mapping the best local talent.”

For Vasquez, who focuses on AI application investments for a16z, this isn’t just about Sweden, but about “a pattern of great global companies being born abroad and scaling quickly,” from Black Forest Labs in Germany to Manus, the Singapore-based AI startup recently acquired by Meta.

Born and raised in El Salvador, he has also been spending time in São Paulo. “I’m really excited about what’s brewing in Brazil and across Latin America in AI,” he wrote on LinkedIn at the time. “I believe AI is the great equalizer,” he added. “Most people now have access to PhD-level intelligence on a phone, and ultimately, Silicon Valley is a state of mind.”

Correction: This story originally stated that a16z is an investor in Lovable owing to an editing error.

Neysa, an Indian AI infrastructure startup, has secured backing from U.S. private equity firm Blackstone as it scales domestic compute capacity amid India’s push to build homegrown AI capabilities.

Blackstone and co-investors, including Teachers’ Venture Growth, TVS Capital, 360 ONE Assets, and Nexus Venture Partners, have agreed to invest up to $600 million of primary equity in Neysa, giving Blackstone a majority stake, Blackstone and Neysa told TechCrunch. The Mumbai-headquartered startup also plans to raise an additional $600 million in debt financing as it expands GPU capacity, a sharp increase from the $50 million it had raised previously.

The deal comes as demand for AI computing surges globally, creating supply constraints for specialized chips and data center capacity needed to train and run large models. Newer AI-focused infrastructure providers — often referred to as “neo-clouds” — have emerged to bridge that gap by offering dedicated GPU capacity and faster deployment than traditional hyperscalers, particularly for enterprises and AI labs with specific regulatory, latency, or customisation requirements.

Neysa operates in this emerging segment, positioning itself as a provider of customized, GPU-first infrastructure for enterprises, government agencies, and AI developers in India, where demand for local compute is still at an early but rapidly expanding stage.

“A lot of customers want hand-holding, and a lot of them want round-the-clock support with a 15-minute response and a couple of our resolutions. And so those are the kinds of things that we provide that some of the hyperscalers don’t,” said Neysa co-founder and CEO Sharad Sanghi.

Ganesh Mani, a senior managing director at Blackstone Private Equity, said his firm estimates that India currently has fewer than 60,000 GPUs deployed — and it expects the figure to scale up nearly 30 times to more than two million in the coming years.

That expansion is being driven by a combination of government demand, enterprises in regulated sectors such as financial services and healthcare that need to keep data local, and AI developers building models within India, Mani told TechCrunch. Global AI labs, many of which count India among their largest user bases, are also increasingly looking to deploy computing capacity closer to users to reduce latency and meet data requirements.

The investment also builds on Blackstone’s broader push into data center and AI infrastructure globally. The firm has previously backed large-scale data centre platforms such as QTS and AirTrunk, as well as specialized AI infrastructure providers including CoreWeave in the U.S. and Firmus in Australia.

Neysa develops and operates GPU-based AI infrastructure that enables enterprises, researchers, and public sector clients to train, fine-tune, and deploy AI models locally. The startup currently has about 1,200 GPUs live and plans to sharply scale that capacity, targeting deployments of more than 20,000 GPUs over time as customer demand accelerates.

“We are seeing a demand that we are going to more than triple our capacity next year,” Sanghi said. “Some of the conversations we are having are at a fairly advanced stage; if they go through, then we could see it sooner rather than later. We could see in the next nine months.”

Sanghi told TechCrunch that the bulk of the new capital will be used to deploy large-scale GPU clusters, including compute, networking and storage, while a smaller portion will go toward research and development and building out Neysa’s software platforms for orchestration, observability, and security.

Neysa aims to more than triple its revenue next year as demand for AI workloads accelerates, with ambitions to expand beyond India over time, Sanghi said. Founded in 2023, the startup employs 110 people across offices in Mumbai, Bengaluru, and Chennai.

On Wednesday, xAI took the rare step of publishing a full 45-minute all-hands meeting video on X, making it publicly accessible. Details of the Tuesday night meeting were previously reported by The New York Times, which may have influenced xAI’s decision to post the video online.

The full video reveals significant new details about Musk’s plans for the AI lab, including its product roadmap and its ongoing ties to the X platform.

The most immediate revelation concerned a string of departing employees, which Musk described as layoffs resulting from a changing organizational structure at the company. While reorganizations are common, the breadth of the departures has caused significant confusion, particularly as it has meant the loss of a significant portion of the founding team.

“As a company grows, especially as quickly as xAI, the structure must evolve,” Musk said on X. “This unfortunately required parting ways with some people. We wish them well in future endeavors.”

The new organizational system splits xAI into four primary teams: one focused on the Grok chatbot (including voice), another for the app’s coding system, another for the Imagine video generator, and finally a team focused on the Macrohard project, which spans from simple computer use simulation to modeling entire corporations.

“[Macrohard] is able to do anything on a computer that a computer is able to do,” Toby Pohlen, who will lead the project under the new organizational structure, told his colleagues. “There should be rocket engines fully designed by AI.”

The all-hands also featured claims about new usage and revenue figures for xAI and X. Nikita Bier, X’s head of product, said X had “just crossed” $1 billion in annual recurring revenue from subscriptions, which he attributed to a marketing push during the holidays.

Additionally, executives said the xAI’s Imagine tool is generating 50 million videos a day, and more than 6 billion images over the past 30 days, according to their internal metrics.

But it’s difficult to separate those figures from the flood of deepfake pornography that overtook X during that same period. The X platform saw engagement skyrocket as AI-generated explicit images became more prevalent, and with an estimated 1.8 million sexualized images generated over just nine days, the image-generation figures likely include substantial amounts of this controversial content.

The most eye-catching part of the presentation came at the end, when Musk reemphasized the importance of space-based data centers despite the technical challenges involved. Musk went still further, envisioning a moon-based factory for AI satellites, including a lunar mass driver — essentially an electromagnetic catapult — to launch them. With such infrastructure, Musk said, one could launch an AI cluster capable of capturing significant portions of the sun’s total energy output or even expanding to other galaxies.

“It’s difficult to imagine what an intelligence of that scale would think about,” Musk said, “but it’s going to be incredibly exciting to see it happen.”

Samsung sent out invites Tuesday to its next Galaxy Unpacked event, scheduled for February 25 in San Francisco, where the company is expected to launch its Galaxy 26 series of smartphones.

AI features will be at the forefront again, as the company said the upcoming phones are “built to simplify everyday interactions, inspire confidence and make Galaxy AI feel seamlessly integrated from the moment it’s in hand.”

A standout feature the company has teased is a privacy display expected to debut on the Galaxy S26 Ultra.This feature will allow users to hide certain areas of the phone’s screen from onlookers to protect sensitive information. For instance, users will be able to hide the notification area from prying eyes.

Reports suggest that the top phone in the lineup will run Qualcomm’s latest Snapdragon Elite Gen 5 processor in the U.S. and China. Samsung will likely opt for its own Exynos 2600 processor in other regions. The distinction matters, but increasingly less so. Snapdragon processors have historically outperformed Samsung’s Exynos chips in benchmarks and thermal efficiency, but the performance gap has been narrowing.

According to a report from the tech site SamMobile, the S26 will also have a 5,100 mAh (milliamp-hour, a standard unit of battery capacity) battery and will support 60W wired charging along and 25W wireless charging.

In addition to phones, Samsung is likely to release updated Galaxy Buds 4 wireless earbuds. The company plans to update the design from the previous generation, which drew widespread comparisons to Apple’s AirPods.

The event will begin at 10 AM PT/ 1 PM ET/ 7 PM CET, and will be streamed live on Samsung’s website and its YouTube channel.

Samsung is offering a $30 promotional credit to anyone who pre-registers interest it its upcoming devices. Pre-registering is merely an expression of interest; consumers will still get the credit as a discount toward other Samsung products even if they don’t end up buying the new devices. If you pre-register and then pre-order one of the devices, the company will increase that to a $150 credit — no trade-in required.

As AI data centers drive up electricity prices, London-based startup Tem thinks AI might be able to help solve it, too.

Tem has built an energy transaction engine that relies on AI to cut prices relative to other energy traders. The company has signed up more than 2,600 business customers throughout the U.K. on the promise that buying energy from its utility division can save them up to 30% on their energy bills.

The startup recently closed an oversubscribed $75 million Series B led by Lightspeed Venture Partners with participation from AlbionVC, Allianz, Atomico, Hitachi Ventures, Revent, Schroders Capital, and Voyager Ventures, TechCrunch has exclusively learned. 

The round values Tem at more than $300 million, a source familiar with the deal told TechCrunch. The startup plans to use the funding to help expand to Australia and the U.S., starting with Texas.

“We’re in a nice position where we kind of have control over our own profitability. So I could have chosen not to raise at all and had a lovely, nice bootstrap business in some ways,” Joe McDonald, co-founder and CEO of Tem, told TechCrunch. “Well, we’re not that kind of business. We know what we want to achieve as someone who wants to go public over the years.”

Tem is a classic marketplace play, matching electricity generators with consumers. The company intentionally started by focusing almost exclusively on renewable energy generators and small businesses to fill both sides of the ledger. “The more decentralized and the more distributed, the better it is for the algorithms,” McDonald said. “But this works all the way up to enterprise.”

The company’s customers include fast-fashion retailer Boohoo Group, soft drink company Fever-Tree, and Newcastle United FC. 

Currently, Tem is running what amounts to two different businesses. One, called Rosso, is the transaction engine that matches suppliers with buyers. Here, machine learning algorithms and LLMs help predict supply and demand. 

The goal with Rosso, McDonald said, is to cut costs by eliminating several layers that are present in current energy markets. “In each of them, you’ve got different teams doing different jobs, taking different levels of profit from back office to trading, trading desks to other trading desks, and probably five to six intermediaries in total that enable the flow of money to move from one side to the other,” he said.

With AI, he said, “you now have an opportunity to replace the humans, the labor costs, and the disparate systems into one single transaction infrastructure.” The goal is to make the price that customers pay for electricity closer to the wholesale cost.

The other part of Tem, called RED, is a “neo-utility” built to prove the value of Rosso.

“When we first started, we tried to sell our infrastructure to the energy companies, and we got nowhere,” he said. RED is currently the only utility using Rosso, and McDonald said its growth has pushed the company to prioritize it over opening Rosso to others.

At some point, though, Tem plans to allow other utilities in.

“In reality, it doesn’t matter how good [RED] is; it’s not going to get above a 40% market share. And it shouldn’t, because that becomes a monopoly in itself. So, me, I’d much rather go to get access to all the transaction flow,” McDonald said.

“Long term, we really don’t mind who owns the customer, who owns the generation as long as our infrastructure is being used,” he said. “This is just an infrastructure play in the same way AWS was, or Stripe was.”