Techin' Geek

Last year, Roblox launched an open-source AI model that could generate 3D objects on the platform, helping users quickly design digital items such as furniture, vehicles, and accessories. The company claims the tool, called Cube 3D, has so far helped users generate over 1.8 million 3D objects since it was rolled out last March.

On Tuesday, the company launched the open beta for its anticipated 4D creation feature that lets creators make not just static 3D models, but fully functional and interactive objects. The feature has been in early access since November. 

Roblox says 4D creation adds an important new layer: interactivity. With this technology, users can design items that can move and react to players in the game.

​At launch, there are two types of object templates (called schemas) that creators can try out. 

The first is the “Car-5” schema, which is used to create a car made of five separate parts: the main body and four wheels. Previously, cars were a single, solid 3D object that couldn’t move. The new system breaks down objects into parts and assigns behaviors to each so that they function individually within the virtual world. The AI therefore can generate cars with spinning wheels, making them more realistic and interactive. ​

The second is called “Body-1,” which can generate any object made from a single piece, like a simple box or sculpture.

The first experience with 4D generation is a game called Wish Master, where players can generate cars they can drive, planes they can fly, and even dragons.

​In the future, Roblox plans to let creators make their own schemas so they’ll have more freedom to define how objects behave. The company says it is also developing new technology that could use a reference image to create a detailed 3D model that matches the image’s style (example below.)

The company says it is developing more ways to help people create games and experiences using AI, including a project it has dubbed “real-time dreaming.” Roblox CEO David Baszucki last month explained that this project would let creators build new worlds using “keyboard navigation and sharing real-time text prompts.”

The open beta comes on the heels of Roblox’s recent implementation of mandatory facial verification for users to access chat features in the game, following lawsuits and investigations related to child safety.

The founder of David Protein, maker of popular high-protein nutrition bars, announced on X on Monday that longevity guru Dr. Peter Attia “has stepped down from his role as Chief Science Officer at David.”

The announcement comes after Attia’s name appeared in more than 1,700 documents, including email correspondence, released on Friday as part of a massive file dump related to convicted sex offender Jeffrey Epstein, according to The New York Times. Attia served on the executive team of the food startup and was also an early investor.

For those unfamiliar, Attia is a Canadian American physician who has become one of the most prominent voices in longevity and preventive health. He’s best known for his bestselling book “Outlive: The Science and Art of Longevity” and his now seven-year-old podcast, wherein he explores optimization strategies. He was also hired just last month as a contributor to CBS.

Three-year-old, New York-based David Protein raised a $75 million Series A funding round in May of last year led by Greenoaks, with participation from Valor Equity Partners. The company has experienced significant growth since launching its flagship protein bar in September 2024, a product it describes as having 28 grams of protein, zero sugar, and 150 calories.

In a lengthy post on X, Attia wrote that he was “ashamed” of some of the crude content in his emails with Epstein, but he also said he was not involved in criminal activity and never visited Epstein’s island or traveled on his plane. Attia also discussed at length how he came to know Epstein and why he stayed involved with him even after Epstein’s 2008 conviction.

The fallout appears to extend beyond David Protein. It also appears that Biograph, the healthcare testing and longevity startup that Attia co-founded with entrepreneur John Hering, may be distancing itself from the physician. The company declined to comment on Attia’s ongoing participation with the startup or about the pages on its website that used to mention him but now omit his name or return a “file not found” error.

Biograph came out of stealth a year ago, TechCrunch previously reported, with backing from investors that include Vy Capital, Human Capital, Alpha Wave, and WndrCo, along with angel investors, including Balaji Srinivasan. Like a growing number of concierge medical service companies, Biograph offers premium preventive health services to subscribers who pay between $7,500 and $15,000 per year. Attia was previously named on the company’s press release and site as a co-founder.

Nuclear fusion conjures images of massive reactors or banks of dozens of large lasers. Avalanche co-founder and CEO Robin Langtry thinks smaller is better. 

For the last several years, Langtry and his colleagues at Avalanche have been working on what’s essentially a desktop version of nuclear fusion. “We’re using the small size to learn quickly and iterate quickly,” Langtry told TechCrunch.

Fusion power promises to supply the world with large amounts of clean heat and electricity, if researchers and engineers can solve some vexing challenges. At its core, fusion power seeks to harness the power of the Sun. To do that, fusion startups must figure out how to heat and compress plasma for long enough that atoms inside the mix fuse, releasing energy in the process. 

Fusion is a famously unforgiving industry. The physics is challenging, the materials science is cutting edge, and the power requirements can be gargantuan. Parts need to be machined with precision, and the scale is usually so large as to obviate rapid fire experimentation. 

Some companies like Commonwealth Fusion Systems (CFS) are using large magnets to contain the plasma in a doughnut-like tokamak, others are compressing fuel pellets by shooting them with powerful lasers. Avalanche, though, uses electric current at extremely high voltages to draw plasma particles into an orbit around an electrode. (It also uses some magnets to keep things orderly, though they’re not nearly as powerful as a tokamak’s.) As the orbit tightens and the plasmas speed up, the particles begin to smash into each other and fuse.

The approach has won over some investors. Avalanche recently added another $29 million in an investment round led by R.A. Capital Management with participation from 8090 Ventures, Congruent Ventures, Founders Fund, Lowercarbon Capital, Overlay Capital, and Toyota Ventures. To date, the company has raised $80 million from investors, a relatively small amount in the fusion world. Other companies have raised several hundred to a few billion dollars.

Space-based inspiration

Langtry’s time at the Jeff Bezos-backed space tech company Blue Origin influenced how Avalanche is tackling the problem.

“We’ve figured out that using this sort of SpaceX ‘new space’ approach is that you can iterate really quickly, you can learn really quickly, and you can solve some of these challenges.” said Langtry, who worked with co-founder Brian Riordan at Blue Origin.

Going smaller allowed Avalanche to speed up. The company has been testing changes to its devices “sometimes twice a week,” something that would be challenging and costly with a large device.

Currently, Avalanche’s reactor is only nine centimeters in diameter, though Langtry said a new version grow to 25 centimeters and is expected to produce about 1 megawatt. That, he said, “is going to give us a significant bump in confinement time, and that’s how we’re actually going to get plasmas that have a chance of being Q>1.” (In fusion, Q refers to the ratio of power in to power out. When it’s greater than one, the fusion device is said to be past the breakeven point.)

Those experiments will be carried out at Avalanche’s FusionWERX, a commercial testing facility the company also rents out to competitors. By 2027, the site will be licensed to handle tritium, an isotope of hydrogen that’s used as fuel and is crucial to many fusion startup’s plans for producing power for the grid.

Langtry wouldn’t commit to a date when he hopes Avalanche will be able to generate more power than its fusion devices consume, a key milestone in the industry. But he’s thinks the company is on a similar timeline as competitors like CFS and the Sam Altman-backed Helion. “I think there’s going to be a lot of really exciting things happening in fusion in 2027 to 2029,” he said.

How many of the companies with recent layoffs are truly adapting their workforces to the efficiencies and challenges of artificial intelligence? And how many of them were just using AI as an excuse to cover other problems?

That’s the question posed by a New York Times article on the trend of “AI-washing,” where companies will cite AI as the reason for layoffs that might actually be caused by other factors, like over-hiring during the pandemic.

AI was the stated reason for more than 50,000 layoffs in 2025, with Amazon and Pinterest among the tech companies who blamed the technology for recent cuts.

But a Forrester report published in January argued, “Many companies announcing A.I.-related layoffs do not have mature, vetted A.I. applications ready to fill those roles, highlighting a trend of ‘A.I.-washing’ — attributing financially motivated cuts to future A.I. implementation.”

Molly Kinder, a senior research fellow at the Brookings Institute, noted that saying layoffs were caused by AI is a “very investor-friendly message,” especially when the alternative might mean admitting, “The business is ailing.”

January was such a long month that it has already brought us five fresh European unicorns: from Belgium to Ukraine, several tech startups raised funding at valuations above the $1 billion threshold.

But before we take a closer look at who joined the club, two caveats.

First: This count includes startups that may be incorporated elsewhere but have their roots or a large part of their team in Europe. Until a pan-European corporate structure exists (often called “EU Inc”), this split will remain common — and we’ve decided to overlook it. Take Lovable, which is incorporated in Delaware but cannot be dissociated from Stockholm’s startup scene.

Second: valuation doesn’t equal commercial success, and it is too early to tell whether all of these companies will achieve the kind of traction that Lovable has, with the company recently crossing $300 million in annual recurring revenue. But in the current climate, the fact that VCs were willing to invest in them at unicorn valuations is a strong signal of where the appetite is. 

With these caveats out of the way, let’s dive in.

Aikido 

Belgium-based cybersecurity startup Aikido Security reached unicorn status with its $60 million Series B funding round. Valuing the company at $1 billion, the round was led by DST Global, with participation from PSG Equity, Singular, Notion Capital, and others.

According to a press release, the funding will help Aikido enhance its platform, which was built to unify security across the entire software lifecycle and is already used by more than 100,000 teams globally. The company also reported “five-times revenue growth and nearly three-times customer growth” over the last year.

In a blog post, the startup celebrated this milestone and its significance. According to its team, “in an industry dominated by Palo Alto and Tel Aviv heavyweights, Aikido shows that Europe can build a world-class software security company and win globally.”

Cast AI 

Cloud optimization company Cast AI is headquartered in Florida, but has Lithuanian roots and a major office in Vilnius — which explains why many now consider it to have become Lithuania’s fifth unicorn.

Cast AI’s valuation now exceeds $1 billion following a strategic investment from Pacific Alliance Ventures (PAV), the U.S.-based corporate venture arm of Korean conglomerate Shinsegae Group. In April 2025, Cast AI raised a $108 million Series C that had reportedly already brought the company close to unicorn territory.

Alongside its latest funding round, the company also introduced OMNI Compute for AI, which aims to help users deploy more AI workloads on fewer GPUs and remove regional capacity constraints.

Harmattan AI 

French defense tech company Harmattan AI was only founded in 2024, but is already worth $1.4 billion, according to its latest funding round. The $200 million Series B was led by Dassault Aviation, maker of the Rafale fighter jets, and also ties into a broader partnership.

Before securing this key partner, Harmattan AI had already signed agreements with the French and British ministries of defense and with Ukrainian drone maker Skyeton, amid growing appetite for autonomous defense aircraft.

Osapiens 

German ESG software firm Osapiens raised a $100 million Series C led by Decarbonization Partners, a joint venture between BlackRock and Temasek, which valued the company at over $1.1 billion.

Founded in Mannheim in 2018, Osapiens now has more than 2,400 customers worldwide, including large multinational companies that rely on its platforms and tools for sustainability reporting and data compliance, but also to mitigate supply chain risks.

Preply

The 14-year-old language learning marketplace Preply is now a unicorn valued at $1.2 billion — a milestone that also embodies Ukrainian resilience. The edtech company was founded in the United States, but its founders are Ukrainian and supporters of their home country, where Preply has a team of 150 employees.

According to its CEO, Kirill Bigai, who believes in AI-enhanced learning, proceeds from the $150 million Series D round will help the startup hire more AI talent across its four offices — now located in Barcelona, London, New York, and Kyiv.