Anduril Industries to acquire Klas
Defence technology company Anduril Industries has signed a definitive agreement to acquire Klas, an edge computing and tactical communications services provider.
Financial terms of the transaction were not disclosed.
Subject to regulatory approval, the acquisition will add Klas' 'rugged' hardware to Anduril's suite of autonomous systems and networked defence technologies.
It is expected to enhance the company's ability to provide 'faster, more resilient and seamlessly integrated' solutions for challenging, front-line operational environments.
Klas will continue its operations in Ireland and the US, with plans to expand manufacturing to meet demand across Anduril's portfolio.
The acquisition also establishes Anduril's first office in Dublin, expanding its international presence in Europe, the UK, Australia, Japan, and Taiwan.
Anduril said: 'Modern defence operations require compute and connectivity that go wherever the mission does—not just where the infrastructure allows.'
Klas offers Voyager line, a modular family of compute and networking systems designed to withstand extreme conditions.
Voyager is already part of Anduril's Menace systems, supporting operations across ground, maritime, and air domains.
'This acquisition builds on that foundation,' Anduril said.
The company added: 'Every autonomous system is only as capable as the compute and comms it carries—together, they form the nervous system that enables real-time decision-making, coordination, and mission execution.'
By combining Anduril's Lattice software platform, autonomy, and sensor capabilities with Klas' infrastructure, the company aims to deliver lightweight, mission-tailored systems that are faster to deploy, easier to maintain, and more resilient.
This is expected to allow Anduril to adapt edge compute and communications to specific mission needs, reducing integration risk and accelerating technology deployment.
In December, Anduril entered a strategic partnership with OpenAI, the developer behind ChatGPT and cutting-edge models such as GPT-4o, to strengthen AI capabilities for US national security.
The initiative focuses on embedding OpenAI's advanced AI technology into Anduril's defence platforms and its Lattice operating system, with a particular emphasis on improving counter-unmanned aircraft systems performance.
"Anduril Industries to acquire Klas " was originally created and published by Verdict, a GlobalData owned brand.

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
36 minutes ago
- Yahoo
2 Social Media Stocks That Are Screaming Buys in June
Thanks to its nearly limitless supply of content, Reddit is taking on a significant role in the AI-powered search ecosystem. Meta Platforms plans to fully automate ads on its various properties by using AI, starting in 2026. 10 stocks we like better than Meta Platforms › After a rough start to the year, tech stocks have come roaring back. As of this writing, the tech-heavy Nasdaq Composite index has surged by more than 25% over the last two months. So with market sentiment swinging back in favor of tech stocks, let's have a closer look at two social media stocks that I believe are buys right now. First up is Reddit (NYSE: RDDT). A relative newcomer as far as social media stocks go, Reddit has only been a public company for a little over a year. However, during that time, its shares have soared by more than 250%. What's behind that excellent performance? In short, red-hot growth across the board. For the first quarter, Reddit delivered a stunning report. Highlights included: Explosive revenue growth of 61% year over year International revenue growth of 82% Average revenue per user (ARPU) 23% higher than a year earlier Daily average users (DAUs) 31% higher Gross margin now 90.5%, compared to 88.6% a year ago Net income of $26 million versus a loss of $575 million last year Reddit, which hosts hundreds of thousands of "subreddits," is part of the growing internet ecosystem that includes large language models (LLMs) like ChatGPT, search engines like Alphabet's Google, and social media networks. Since Reddit's users create millions of pieces of unique content and post subjective opinions on current events, the platform plays a key role in shaping search results and responses from LLMs. In addition, the company has gotten into the LLM game with its Reddit Answers feature, which boasts over 1 million weekly average users (WAUs). Here's the key takeaway: Reddit is an up-and-coming social media stock with a still-modest market cap of $22 billion. Its volatility and meager (for now) profits mean the stock isn't a great fit for everyone, particularly value investors. However, for long-term-oriented growth investors, Reddit is a name to consider in June. Then, there's Meta Platforms (NASDAQ: META). What I love about Meta's stock performance is that the company makes it look easy. Consider its latest earnings report. In the first quarter, the company posted: $42 billion in revenue $17 billion in net income $10 billion in free cash flow Bear in mind that those are figures for a single quarter. On a yearly basis, the company is on track to generate nearly $190 billion in revenue, meaning its total revenue this year could match -- or perhaps surpass -- iconic American companies like Ford Motor Company, General Motors, and Chevron. In addition to its excellent results, the company is also making moves for the future. Meta is spending heavily on artificial intelligence (AI) infrastructure, such as AI chips and data centers. Those investments are intended to upend the advertising landscape -- and put Meta at the heart of the digital advertising ecosystem. By 2026, the company wants to fully automate ads, allowing brands to cut out advertising-agency intermediaries altogether. What's more, Meta wants to automate the process using AI, allowing brands to customize their ads based on the viewer's location and tastes. In other words, Meta is aiming for another big leap forward -- one that could deliver another surge in revenue, profits, and free cash flow. For investors, now could be the time to load up on Meta shares, before the company begins to reap the rewards of its AI investments. However, given how far Meta has already climbed this year (at this writing, the stock is up 19% year to date), a dollar-cost-averaging strategy could be a savvy way to build a long-term position. Before you buy stock in Meta Platforms, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Meta Platforms wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $669,517!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $868,615!* Now, it's worth noting Stock Advisor's total average return is 792% — a market-crushing outperformance compared to 173% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of June 9, 2025 Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool's board of directors. Randi Zuckerberg, a former director of market development and spokeswoman for Facebook and sister to Meta Platforms CEO Mark Zuckerberg, is a member of The Motley Fool's board of directors. Jake Lerch has positions in Alphabet, Ford Motor Company, and Reddit. The Motley Fool has positions in and recommends Alphabet, Chevron, and Meta Platforms. The Motley Fool recommends General Motors. The Motley Fool has a disclosure policy. 2 Social Media Stocks That Are Screaming Buys in June was originally published by The Motley Fool Sign in to access your portfolio

Business Insider
an hour ago
- Business Insider
A top Wall Street analyst used ChatGPT and Gemini to assess Google risks. He came away impressed.
In a striking twist to a major legal showdown between the US government and one of the world's most powerful tech companies, Wall Street analysts aren't just turning to lawyers — they're consulting artificial intelligence. And not just any AI: Evercore ISI's top tech analyst Mark Mahaney tapped Google's own Gemini AI chatbot, along with OpenAI's ChatGPT, to assess what could happen next in the Department of Justice's big case against Google's Search business. With Judge Amit Mehta expected to rule later this summer, Mahaney published a research note that offers a rare look at how investors use generative AI as a strategic analysis tool for watching one of the most consequential antitrust cases of the 21st century. AI-powered legal analysis on Wall Street Mahaney and his team gave OpenAI's o3 and Gemini 2.5 Pro transcripts from the final day of court proceedings — more than eight hours of closing arguments — and asked the chatbots two key questions: What were the main takeaways? And what remedies will Judge Mehta most likely impose? The result? "Pretty darn impressive," Mahaney wrote. Within 17 seconds, the models generated concise, reasoned summaries and remedy predictions. The output from both AI tools aligned closely with the conclusions of legal experts consulted by Evercore, suggesting the technology may be ready for prime time as a research aid, even in complex regulatory situations, Mahaney wrote. "GenAI reasoning may become a table-stakes capability... and certainly can help achieve improved productivity goals for users, enterprises, consumers and Wall Street Internet Analysts!," he wrote. I emailed to ask Mahaney whether he's trying to put himself out of a job. Mahaney replied, "😊". AI's predictions for Google Both ChatGPT and Gemini forecast that Judge Mehta will likely impose a slate of tough behavioral remedies and stop short of ordering a huge structural breakup of Google's empire. Their projected outcomes included: A highly probable ban on default Search payments (ChatGPT was more sure of this, while Gemini thought a complete, permanent ban was unlikely. Shocker!) It's unlikely that Google will be forced to sell its Chrome browser business, though Judge Mehta might keep this in reserve if other remedies don't spark more competition. (Both chatbots aligned on this prediction pretty closely.) Likely contingent limits on general Search revenue-share payments. Possible contingent requirements on data sharing. ChatGPT's detailed reasoning suggested Judge Mehta is interested in avoiding collateral damage to the tech ecosystem while still targeting the "monopoly flywheel" Google uses to maintain dominance. Gemini's forecast echoed this logic, emphasizing Mehta's focus on balancing enforcement with market disruption risk and the avoidance of a "massive structural breakup." Why this matters for Google and Wall Street Mahaney's use of AI wasn't about replacing expert human judgment, but rather augmenting it. He and his team had already reviewed transcripts and interviewed legal experts. However, the speed and coherence with which ChatGPT and Gemini processed complex legal dialogue and arrived at similar conclusions gave Mahaney confidence that GenAI tools can assist in forecasting high-stakes regulatory events. The case, which stems from Google's multibillion-dollar payments to companies like Apple to maintain default status on browsers and smartphones, could upend how the $2 trillion internet giant competes in search and beyond. For investors, the insight that AI models can accurately mirror expert expectations in such nuanced legal territory may prove as significant as the case itself. As Judge Mehta finalizes his ruling, the courtroom might still be human, but Wall Street's analysis of it is increasingly AI-assisted. Welcome to the era of algorithmic legal foresight.

Business Insider
an hour ago
- Business Insider
Gen X has become Meta's biggest gold mine
Meta is trying hard to win over Gen Z. But the people actually driving its ad business, are, well, older. The reason for the age skew? Meta's systems show more ads to users who are more likely to buy or sign up for products and services or install an app — and older users who spend more money are more likely to do this. In a Barclays report shared with Business Insider, analysts revealed that Facebook's ad load — the number of ads users see — is significantly higher for older users. The report drew from internal documents that surfaced during Meta's recently concluded antitrust trial with the Federal Trade Commission. "Older demographics see more ads due to their higher purchasing power," Barclays analysts wrote. "This also speaks to the dynamism of the ads stack whereby the company can identify those cohorts with greater willingness to consume ads." According to the report, Facebook users aged 45 to 54 saw the highest ad load at 22%, with those 55 and older and those 35 to 44 close behind. Users age 25 to 34 hovered just above 16%, while 18 to 24-year-olds saw about half of that. Teenagers age 13 to 17 saw the fewest ads of any group, at just 4.3%. Meta has been serving fewer ads to younger users since 2021, the report says. Barclays analysts note that this could be due to the shift to Stories and Reels, where ad formats are still maturing, or a strategic response to increased competition from TikTok. Although age is an important signal that lets Meta decide how many ads a user sees, it isn't the only one. Over the years, Meta has rolled out dynamic ad load technology that adjusts ad volume based on factors like how users behave and who they are. Behind the scenes, Meta's machine learning models like Andromeda and Lattice help determine exactly how valuable each person is to advertisers. Barclays' analysis shows that this is working. Over the last few years, the report says that Meta has grown ad revenue without showing more overall ads to its users, a shift analysts say is "arguably the most bullish development" revealed in the trial disclosures. In other words, Meta doesn't need to shove more ads into everyone's feeds — it just needs to find the people who will actually click. The company still talks about building for the next generation, but behind the scenes, it's engineering its business around the one that pays.