startup

Meta spent 2 billion on a Chinese AI startup. China is clear that it was a conspiracy

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With China and the United States dancing the dance of artificial intelligenceboth countries and companies want to get the best cards for their decks. Meta is investing millions in the development of AI and, even so, it seems to be lagging behind. To turn the tables, he closed 2025 with a $2 billion purchase: that of a Chinese startup called Manus. The operation was so notorious that the Chinese government itself raised an eyebrow and undertook an investigation to see what was happening there. And they are already clear. It was a conspiracy. The Manus case. Although it has rained a lot and these last few months in China AI companies have come out from under the stones, during the first half of 2025 the proper name was that of deepseek. It was the great competition from the Western OpenAI or Google Gemini, but in March something that looked like an AI agent began to appear: Manus. That’s how they sold italthough it was really a deep investigation mode that helps you perform actions, but does not do them for you. It didn’t matter: the expectation was there and, although there were doubts about his behavior and limits, Manus began to move a lot of money (more than 100 million in estimated income) and attract attention from the big players. One of them was Meta, who took over the company. The purchase. A good question is how China let something like this slip away for a technological and strategic rival to buy. And it’s a good question, but the answer is that, at some point, Manus stopped being a Chinese startup. In the middle of last year, Manus moved to Singapore, allowing the company to bypass export and import controls imposed on China. To the not having your own LLMthey depended on others like Claude which they could more easily access from outside China. This already set off alarm bells in the Government, but with the purchase of Meta the bells echoed. China put to work to various organizations to see what was really happening, the largest of them being the Chinese National Security Commission, which is commanded by President Xi Jinping himself. The reports prepared by this body are directly supervised by the leaders of the Communist Party, so it is a voice that must be taken into account. Conspiracy. And the result of the investigation is clear. As they comment in Financial Timesthe conclusion is that Meta’s acquisition of Manus is a conspiratorial attempt to try to undermine China’s technological capabilities. These are big words that do not remain in a vacuum, since the founders of Manus – Xiao Hong and Ji Yichao – were summoned by the NDRC last March to address issues such as possible violations of foreign investment rules in China. He did not stay for a meeting and, as the FT points out, both have been prohibited from leaving the country during the review process. In fact, there are sources that suggest that Manus would be considering backing out of the agreement, but even so, it is not clear that the Chinese authorities will be satisfied. For his part, Meta points out that they did everything according to the law and it seems that he has already started to integrate Manus systems into their tools, so taking that step back would be very complex. And now… what. That the National Security Commission has classified the case as “conspiracy” is something serious, since it was the trigger for a broader review that involves more agencies in the country that are currently reviewing everything. And the underlying problem is the speed with which everything happened. Manus took off and, just four months later, they moved everything to Singapore to break away from China just before the purchase of an American company. The investigation is shaking the Chinese technology sector because it is not the first time something like this has happened. Although on a smaller scale, it is an operation called ‘Singapore washing’ in which startups founded by Chinese move to the city-state to bypass China’s control and have a more direct line with the United States. The problem is that, at a time when the commercial and strategic war has intensified, calling the Manus case a “conspiracy” sets a precedent. One in which it is stated that China does not want to let artificial intelligence talent and technology escape because this advance has become one of the country’s strategic legs for the next five years. We will see what happens when the case is resolved, but it is clear that Beijing’s objective, like Washington’s, is to prevent its assets from escaping, and Manus can be the example for national technology companies do not follow a similar model in the future. In Xataka | We don’t know if “crisis” means “opportunity” in China, but there is one business where it does: RAM memory

A Spanish startup is building the map of the Earth that AI needs: Xoople

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Xoople has closed a Series B round of 130 million dollars led by Nazca Capital and with the participation of MCH Private Equity, CDTI, Buenavista Equity Partners and Endeavor Catalyst. With the financing accumulated so far, 225 million dollars, the Madrid startup presents its candidacy for unicorn and becomes one of the most peculiar bets in the European space ecosystem. Why is it important. More than a round, this capital injection is the validation of a model that almost no one in the startup ecosystem has the stomach to execute: seven years building technology without going to market, without growth metrics to show to investors and with hardly any noise. Xoople has opted to be infrastructure before product, and that places it in a different category than almost any European space startup. The context. The company, founded in 2019 and based in Tres Cantos (Madrid), has developed its own constellation of satellites combined with an AI data processing platform called EarthAI. The goal is to become what its founders call the “Earth system of record” for the era of agentic AI: scientifically accurate geospatial data, ready to train models and feed autonomous workflows in enterprises. The comparison with Google Earth is superficial because what Xoople builds is data infrastructure, not visualization. In detail. He agreement signed with L3Harris Technologiesone of the largest aerospace defense contractors in the United States, is the piece that elevates the proposal. Its sensors, designed with defensive-grade technology and adapted for commercial use, promise to capture a volume of data two orders of magnitude greater than current monitoring systems. Marketing has started this year with clients in preview private between government agencies and companies of the Fortune 500. Between the lines. The investment pattern of this round says as much as the number. The CDTI has been in the capital of Xoople for some time and has it classified as a Strategic Company, the largest investment of your Innvierte program. That Nazca Capital, the most active fund in the Ibero-American ecosystem, leads the Series B together with MCH Private Equity is a sign that private capital already sees in Xoople something more than a technological promise. The milestone must also be read in terms of ecosystem: just a month ago, PLD Space closed 180 million euros of Series C. The Spanish space sector is no longer anecdotal. The big question. Xoople’s model requires its customers to rely on critical data infrastructure built by a startup. In sectors such as defense, climate management or urban infrastructure, this institutional trust threshold is a bottleneck, even more so than technology. The waiting list in preview private that the problem is being resolved. But climbing from a waiting list to long-term contracts with governments and global corporations is the leap he has yet to prove. Featured image | Javier Miranda In Xataka | We have a problem with the future of GPS: $16 billion later, it’s an absolute disaster

the largest startup incubator in the world

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In recent years, NVIDIA has gone from being a company gaming hardware who was doing interesting things in the field of artificial intelligence to being, directly, the glue of the entire AI industry. And it has achieved this through graphic muscle, but also thanks to deep pockets and a very clear vision: to become the largest AI incubator in the world. Although, for some, there has been become an awkward partner. You can’t talk about AI without talking about NVIDIA, but along the way it has achieved something else: turning its main allies into rivals. NVentures. A few years ago, Jensen Huanghead of NVIDIA, realized something: the AI ​​had to be from NVIDIA or it wouldn’t belong to anyone. The CEO identified the need to become an investor, but also the technical support point for startups that were beginning to buy many of his chips for AI training. Years before, NVIDIA had Inception, a branch focused on non-financial support, but in 2022 it launched NVentures. It is the corporate venture capital arm of the company and was born at the dawn of the generative AI that we know today. In fact, it was launched a few months before ChatGPT public releasewhich was precisely the one that popularized the massive use of NVIDIA GPUs to train large-scale models. If with Inception more than 19,000 AI startups went through the advisory program (with training, cloud credits and discounts on massive GPU purchases, but without direct investment), with NVentures things also escalated quickly. From a direct investment in 2022 they passed to 30 in 2023, 54 in 2024 and 67 in 2025. Some are larger than others, but all are investments of tens of millions of dollars that have served to boost the current ecosystem in a kind of circular economy. Do you think I’m a bank? In this article of TechCruch investments are laid out perfectly and separated into “clubs.” There is the 100 million with companies like Ayar Labs, Hippocratic AI, Kore.ai or Runway that have received more than 100 million dollars. That of hundreds of millions with Cohere, Commonwealth Fusion, Perplexity, Lambda or Black Forest Labs as exponents. And then the billion dollar club. In that bag are the big names such as Cursor, xAI, the French Mistral, Reflection AI, Thinking Machines Lab, Figure AI or Scale AI. Also two uncomfortable partners: OpenAI and Anthropic. The relationship between OpenAI and NVIDIA has been long and symbiotic. Both have helped each other put themselves on the map of generative AI, but NVIDIA is going to cut off the tap. Recently, Huang himself commented that they will put 30 billion in OpenAI, or… and that the two mega-operations will probably be the last. The two companies are expected to go public later this year, so they will have to start fending for themselves. Business turnaround. That does not mean that NVIDIA is going to stop injecting money, it simply implies that they are going to allocate that money to be in more places at the same time. Instead of such large amounts, more financing for more “modest” companies in models, software, infrastructure, robotics, cloud and even autonomous driving and biotechnology to continue expanding the network of companies that scale on their platform. In fact, this investment in small companies that are beginning to grow is very lucrative. An example is the Reflection funding round. Of the 2 billion that the company raised, 800 million came from NVIDIA’s pockets, and much of that money, along with interest, will flow back into his pockets. NVIDIA is so important that the company points out that “when you talk to it, you are talking to NVIDIA.” That dependence on NVIDIA is what makes the company an uncomfortable partner because it has enormous power. Inference. But the other turn is not so much from NVIDIA as from the industry itself. These last few years we have focused on training. More and more powerful chips to power increasingly fat data centers in which increasingly capable models are trained. However, once trained, the model must be useful for something, and that is where inference comes into play. Because it is estimated that the big growth of the future of AI will not be so much training the next ChatGPT, but the ability to manage billions of AI requests cheaply and efficiently. This implies that there must be more specialized chips with different architectures than a classic training GPU. The analysts are already pointing that the speed at which the need for inference increases is faster than expected. From lovers to enemies. and there other companies come into play. On the one hand, classic rivals such as Huawei with equipment both for training and for inference. Also a AMD that is gaining contacts like Samsung to create training GPUs and inference CPUs. Intel, Amazon and Google also have their own chips. But NVIDIA’s biggest customers don’t want NVIDIA to dictate their future. OpenAI is working with Broadcom to develop its own chips that may be focused on that inference and both Tesla and xAI (now part of SpaceX) also They have taken the same path. The two companies have needed NVIDIA until now, but they do not want to depend on it for an inference where there may be more profit margin. Because the idea is to create chips that are very specialized in request management to lower the cost of AI as much as possible. China is an example of this. The country’s big technology companies and startups have focused on one thing: training specialized models and making inference so cheap that the user doesn’t mind paying. There is already someone point that 80% of the cost of AI in the short term will be inference, and solutions are needed. The ace in the hole. But if almost all allies have been preparing their deck for some time to stop depending on NVIDIA’s cards, NVIDIA has also been doing the math and keeping the ace up its sleeve. … Read more

The French AI startup profiting from geopolitical chaos just raised $830 million. For European data centers

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The French startup Mistral has raised 830 million dollars and it has done so with one objective: to create AI data centers in Europe that will be based on NVIDIA chips and technological solutions. That’s good news, but it also has a disturbing side. Merci, Monsieur Trump. There is a geopolitical irony in the rise of Mistral. The French AI startup has become a reference in Europe, but it has done so not so much because of its models or technology (that too) but because of Donald Trump. Since the American president returned to power and began to destroy the era of globalization, the demand for “sovereign” European alternatives to the large US technology platforms has skyrocketed. Governments and companies that previously turned to Microsoft, Amazon or Google without thinking are now trying to look for options that free them from those dependencies. Mistral is precisely the clear alternative in terms of AI. 830 million to have its own infrastructure. The round that Mistral has raised is not venture capital, but debt financing granted mainly by French banks such as Bpifrance, BNP Paribas, HSBC and MUFG. It is an interesting aspect and shows that the company no longer needs to convince investors, but rather finance the infrastructure necessary to scale its business. Those $830 million are destined for its future European data centers, starting with its facilities in Bruyères-le-Châtel, near Paris. Said center will house 13,800 GB300 chips from NVIDIA and will begin operating before the end of June. Debt, not equity. There is an important difference between the venture capital rounds that have financed Mistral until now and this new round of debt. Venture capital is not returned: investors bet on a stake in the company and get paid if the company grows and is sold or goes public. The debt is repaid, and it is with interest, regardless of how the business is going. That Mistral has opted for this mechanism suggests that it is optimistic about the future, but it also represents added pressure for the company, which will not be able to afford consecutive quarters of losses. Betting with other people’s money has its problems, but doing so with borrowed money also has important problems. The success of the 13,800 chips. May that French data center get 13,800 GB300 chipsthe most advanced from NVIDIA, is not a minor detail. These AI accelerators are on the waiting list of many companies, and here Mistral competes with hyperscalers like Microsoft, Google or xAI that buy tens of thousands of units and have priority agreements. That this European startup has managed to secure that amount seems to demonstrate that it has negotiating capacity or a special relationship with NVIDIA and its CEO, Jensen Huang. European AI ecosystem. Mistral is little by little becoming the perfect European ecosystem for companies that want not to be exposed to dependencies on North American partners. Having everything under European control is what more and more governments are looking for in Europe, and here we are facing an effort that wants to offer that certain independence… which of course is anything but complete. Be that as it may, Mistral has become the great European seller of sovereignty as a product. But. Mistral expects to achieve 200 MW of computing capacity by the end of 2027, including a €1.2 billion facility in Sweden with 23 MW that will begin operating next year. These are decent numbers in a European Union that has barely raised its head in this segment, but they are very far from those in China and especially the United States. OpenAI and its partners have agreements worth several hundreds of billions of dollars in infrastructure, and while here we move in megawatt capacities, there we talk about gigawatts. The distance is still enormous. And the dependency still exists. The paradox that no one seems to want to allude to is important: the European “sovereign” infrastructure that Mistral is building depends entirely on chips designed by an American company and manufactured in Taiwan. If for any reason Washington decides to make Europe a banned region for its technology and prohibits the export of GB300 chips, Mistral’s expansion would be paralyzed. The quest for digital sovereignty is interesting, but the reality is that Europe will continue to depend on US technology and Taiwan’s manufacturing capacity to an even greater extent than the US o China depend on its rival. The old continent has activated some measures for mitigate the problembut that will not prevent it from continuing to exist in the long term. Paris, European capital of AI. The French startup has turned France into one of the great European references in AI. Mistral was valued at $12 billion after raising $1.7 billion in financing led by ASML. In addition, they expect to exceed 1,000 million in annual recurring revenue. This company is now joined by the recently launched startup Yann LeCun: Advanced Machine Intelligence Labs (AMI Labs) has already managed to raise more than 1 billion dollars and will also be based in Paris. Another detail should be highlighted: Bpifrance, the French public investment bank, is leading the round. That is significant, because that means that the one supporting this initiative is the French state. In Xataka | Mistral does not generate hype, it is a discreet AI, it does not boost the shares of any company, but it already makes more money than Grok

It is the promise of a Chinese startup that aims to revolutionize the sector

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There is a whole world in this synthetic fuels. And it is no wonder, since whoever can develop a renewable fuel, without harming the environment and with elements that we have in abundance, has won heaven. And in this regard, there is a Shanghai startup that promises to have taken a significant step. And if his claims hold up, it could change the rules of the game. We tell you the details. Context. China imports more than 70% of the crude oil it consumes, and a considerable proportion comes from the Middle East. If you have been paying attention to this region of the planet in recent weeks, you will have seen that the thing is not very there. And at a time when conflicts in the Persian Gulf generate volatility in the markets and threaten energy supply chains, Beijing has been looking for alternatives to conventional fossil fuels for years. It is in this scenario where Carbonology emerges. What exactly has he announced. Just like share SCMP, the company, co-founded in 2024 by a former Tesla vice president, claims to have developed a process to convert carbon dioxide (extracted from air and water) into synthetic fuel using solar and wind energy. The products it claims to be able to manufacture include gasoline, diesel, aviation kerosene and naphtha, all of them at competitive prices with those on the market. The company also reportedly announced that it is preparing a deployment to produce its product on a large scale in China. How this technology works. The process the startup describes is based on direct air capture, known in the industry as DAC (Direct Air Capture). This technique consists of extracting CO₂ from the atmosphere and combining it with hydrogen, in turn obtained through electrolysis of water using renewable energies, to synthesize liquid hydrocarbons. The result is fuels that are practically identical to those derived from petroleum, but whose carbon cycle is closed: the CO₂ they emit when burned is the same as that captured to manufacture them. It is really not a new process, as it has been developed for years in laboratories around the world and There are pilot projects underwaysuch as the Haru Oni ​​plant, in southern Chile, promoted by companies such as Siemens and Porsche. What is still unclear. The bad thing is that Carbonology’s claims lack details. According to the mediuma company spokesperson confirmed the information but declined to offer more information on the matter. As SCMP shares, the company has a registered capital of just over 14 million yuan (about $2 million) and completed a first round of financing last year. In January it opened a 300 million yuan R&D center in Shanghai, along with a synthetic kerosene production line. In any case, the company recognized that its future commercial operations will probably have to be located near large solar and wind energy facilities in western China, since it is a process with high energy demand. A problem that persists. Synthetic fuels produced from renewables remain expensive. The medium refers to paper published in January 2025 in the journal Energy Conversion and Management, where some of the obstacles to its commercialization were identified, including high capital intensity, low energy efficiency in the conversion and absence of infrastructure and regulatory frameworks that allow its large-scale deployment. About Repsol. In Spain, the main company that has promoted renewable fuels in its gas stations has been Repsol, although the concept in this case is different. Repsol comes from a process that reuses used cooking oilremains of agricultural processes and forestry waste to develop its Nexa fuel, which is already sold in hundreds of gas stations in the country. However, the company is also studying the DAC technique to produce synthetic fuels. It does this through a cutting-edge project in the Port of Bilbao (Petronor). At the moment what they have is a demonstration plant, so we will have to wait to see if it has an outlet. for the car. That a Chinese startup barely a year old claims to have solved the cost problem that has blocked the entire industry is, at the very least, interesting, but there is a lack of data to support it. DAC technology exists and is maturing, but most of the CO₂ captured so far is stored underground, not converted into fuel. That the announcement was made under these circumstances is curious, to say the least. So we will have to wait to see if this project ends up materializing and fulfills what it promises. Cover image | ADIGUN AMPA In Xataka | 115 million barrels released and a fear on the horizon: that gasoline in Spain will go to €2/liter

A startup from Malaga is the most used European AI app in the world according to Andreessen Horowitz. It’s called Freepik

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The venture capital firm Andreessen Horowitz has prepared its already traditional ranking with the world’s top 100 end-user AI applications. There are many predictable ones in the top positions, but we are surprised because among the top 15 is none other than freepikthe platform created by the Malaga startup of the same name. Freepik in the world top. On the list we have many usual suspects (and some not so usual) in the top positions, but one of the big surprises on the list It is the Freepik platformwhich is ranked number 11 and is the only representative of our country in that ranking. But besides that, it is the first of all Europeans included on the list. This specific list is made with the number of unique monthly visits as a criterion. USA dominates. In that list the dominance of apps from American companies is clear, and only the Chinese one DeepSeek sneaks into the top 10 list. Here ChatGPT dominates the ranking with Gemini and Canva completing the podium, but it is surprising to see the relevance of Grok, ahead of Claude. And Google shines with its own light. Within the list, the presence of Google is also notable, which has four tools on that list: Gemini (in number 2 on the list), Google AI Studio (10), Google Labs (25) and the splendid NotebookLM (30). Most of these apps come from the US. Graphic: Xataka with Gemini. Data: Andreessen Horowitz. China tightens. It may seem that China’s role here is less relevant than it should be, but it must be taken into account that many Chinese startups focus on platforms and applications for the Chinese market. Even so, there are clear protagonists such as Capcut and Doubao (ByteDance), Qwen and Quark (Alibaba), Kimi, Kling, Cutout and of course the aforementioned DeepSeek. Europe has its protagonists. Freepik is the clear standout on this list among the European AI applications, but there are others that stand out and manage to make it onto the list such as Photoroom (France), Turboscribe and Veed (United Kingdom), Remove.bg/Kalleido (Austria) and another standout, ElevenLabs (based in London). An evolution towards hybrid apps. As Andreessen Horowitz points out, three years ago the distinction between “native AI” products and traditional software was clear. Today that barrier has disappeared, since massive tools like CapCutCanva or Notion have integrated generative AI as the core of their experience and revenue engine. They have taken advantage of their inertia, they have adapted and they have won. In mobile apps the ranking changes, and a lot. The most popular AI mobile apps in the world based on their number of active users each month is very different. Here Freepik disappears from the list, for example, and it is China that totally dominates with 22 of the 50 apps (44%). The US has 13 apps on the list (26%), while Europe only has four (8%) and other countries share the other 11 (22%). Here China benefits from its huge user base, who also very frequently use AI applications for all types of functions. ByteDance is especially eye-catching and has five apps on the list (CapCut, Doubao, Cici, Hypic and Gauth). Divergence of approaches. In general, all apps try to build user loyalty through their ecosystems and try to integrate more and more things so that one does not leave them. However, there are important approaches among some such as ChatGPT, very oriented towards being a “super app” for mass consumption, and Claude, from Anthropic, which focuses on professional and technical users. AI wants to be almost invisible. AI is no longer a destination, a website to go to, but is becoming part of the experience, a function integrated into the application. Thus, it now resides directly in the browser, in development environments or in office suites. In Xataka | The war between Anthropic and the Pentagon points to something terrifying: a new “Oppenheimer Moment”

the Spanish space startup grows with Japanese money

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PLD Space has closed a Series C round of €180 million led by Mitsubishi Electric. With this injection, the Elche company exceeds the 350 million raised in total and has a clear path to carry out the first demonstration flight of its rocket Miura 5 before the end of 2026. Why is it important. Spain has very few technology companies capable of raising this type of money on a global scale. PLD Space has not only achieved this, but has done so by attracting a top-level Japanese manufacturer that is not coming to make a financial bet but to secure access to launches for its clients in Asia. That difference between a financial investor and a strategic investor changes everything. Between the lines. Mitsubishi Electric has also signed an MOU with Lockheed Martin to collaborate on geostationary defense satellites. That the same week in which he signs that agreement he also leads this round in PLD Space is no coincidence. Japan is building a chain of access to space so as not to depend on anyone, and PLD Space fits as a provider of low orbit launches for the constellation of satellites that that ecosystem needs. For the Spanish company, this means support that goes beyond capital: it is a seal of industrial credibility. In figures: 180 million euros raised in Series C. More than 350 million in total accumulated financing. Planned capacity of 30 launches per year by the end of the decade. The Miura 5 can place up to 1,080 kg in low orbit. Target production: 4 rockets in 2026, 6 in 2027. The context. Europe has had the problem of access to space on the table for years. The delays of Ariane 6 and the dependence on American launchers have made it clear that the continent does not have a mature private alternative. He European Launcher Challengewhich calls for a test flight of a higher-capacity rocket before 2028, has acted as an accelerator for PLD’s roadmap. The company already designs the Miura Nextdesigned precisely to meet that institutional challenge. The big question. PLD Space has proven that it can raise money and that it can fly hardware. He Miura 1suborbital rocket, completed its first launch in October 2023. But the jump to orbital is different. Many launch startups have raised hundreds of millions and have not reached orbit. The real test begins when the Miura 5 takes off from Kourou, whose facilities should be ready in July. Until then, money buys time, but not guarantees. In Xataka | “We are the company that has developed an orbital rocket the fastest”: PLD Space, one step away from making history from Spain Featured image | PLD Space

Chargebacks are the silent hemorrhage of e-commerce. A Catalan startup is making money by covering it

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Yesterday Paco bought a product on Wallapop and received it. Then came the problem. Paco called the bank and lied saying that it was not the product he expected or that he did not receive it, thus managing to keep the product and recover his money. Free product for him, headache for Wallapop. This is where a promising Catalan startup called Kloutit comes in. Fictional situation, real problem. Paco does not exist as such and the situation is fictitious, but it is the reflection of a very palpable reality among e-commerce companies: many are affected to a greater or lesser extent by the so-called chargebacks or chargebacks. Kloutit has an AI to solve it. The Catalan startup Kloutit has created an AI tool to manage these chargebacks on e-commerce platforms. Founded in 2024 by Albert Algarra (CEO), Alexis Pairetti and Adrián Algarra, the company already has almost 200 active clients and operates in nine countries, as indicated in CincoDías. Among those clients are Wallapop, Cabify, Playtomic, Factorial, or TaxDown. A problem that they manage to mitigate. The phenomenon of chargebacks negatively impacts 30% of the gross operating profit (ebitda) of companies, according to Kloutit. However, thanks to their AI system, companies multiply the amount of money lost and later recovered by 5.5. Not only that: as those responsible for CincoDías indicate, “Reducing chargebacks not only protects income, but also improves the relationship with payment service providers, and avoids penalties for high ratios.” They may be legitimate, but they may not be.. Unlike a normal return in which you go to the store, deliver the product and receive your money back, in a chargeback the bank withdraws the money directly from the merchant’s account and returns it to the customer while it investigates what happened. Chargebacks typically occur in three cases: Real fraud: someone has stolen your card and made purchases, so you notify the bank indicating that it was not you, and the bank returns your money. Problems with service: you bought something that never arrived, or the product that arrives is broken or the service (hotels, flights) was not as promised. “Friendly fraud”: This is where the problem lies for companies, and it is the fictitious case we have described. A chargeback is not just about losing a sale. For a business it implies a double loss: both the product they already sent and the money from the sale. In fact, after the chargeback the nightmare begins, because the implications are several: Penalty: Banks charge a penalty fee to the merchant for each chargeback received regardless of who is right. Blacklist: If the store has many chargebacks, Visa or Mastercard can blacklist you and prohibit card payments. Expensive defense: defending against a chargeback is a cumbersome bureaucratic process: you have to demonstrate with evidence (delivery notes, screenshots, emails) that the customer did receive the service. AI vs. obsolete systems. The platform developed by Kloutit promises a much more effective alternative to traditional systems that they describe as obsolete: manual processes, a lot of time investment and disappointing success rates. The Catalan startup’s AI system promises to automate these processes and free teams from this burden. That they have more and more clients is a promising sign that they are doing something right. Images | Nathana Rebouças In Xataka | Online commerce was supposed to kill shopping malls. The reality has been just the opposite.

a Russian startup has hacked their brains to turn them into drones with wings

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Nothing more a priori innocent than a pigeon flying over the buildings of a city or perched in a square. Or not, because in addition to being just another city dweller (sometimes excessively so, which becomes a problem), pigeons have been used as discreet express messengers from the ancient Sumerian and Egyptian civilizations. And also in war scenarios: in World War I, the United States Army created a carrier pigeon service called United States Army Pigeon Service for tactical messaging when all else failed or was destroyed. Now the Russian startup Neiry assures having given them one more twist: it has turned pigeons into biological drones. An electrode in the brain. What the Russian company proposes is not to biomimic a drone so that it resembles a pigeon, but to convert this animal into a transport vector by equipping it with implanted neural interfaces. More specifically, they implant electrodes in the brain, which are then connected to a stimulator attached to the head. That is, a kind of GPS that speaks with the brain of the bird. Neiry explains that the interface provides mild stimulation to certain brain regions, thus causing the bird to (artificially) prefer a certain direction. Otherwise, the bird behaves naturally. This system does not replace the bird’s will, but rather biases its sense of orientation to follow pre-established routes. Why birds? According to the Russian startupthe objective is to use biological carriers in situations where drones have limitations in range, weight or others such as a restricted area. Alexander Panov, CEO of the company, explains that birds can maneuver in complex environments, fly for long periods and operate in places where drones are restricted, such as collects Bloomberg. Anyone who has handled a drone knows that there is one critical element: the battery. Unlike unmanned aerial vehicles, a pigeon does not need to change its battery nor does it require frequent landings: its nature gives it everything necessary to carry out a long-distance flight. Millions of years of evolution make a bird beat any commercial drone and its 20-minute battery life in terms of flight stabilization and energy efficiency. In fact, up to 400 kilometers a day without stops. Pigeons with backpack. In the test flights that Neiry has carried out with these pigeon drones, the birds were equipped with this neural interface, in addition to a small backpack with the controller, solar panels mounted on the back and a camera. Of course, without giving as much singing as a drone, they did not go unnoticed, as can be seen in the video provided by the company. Pigeons are just the beginning. Panov has explained that although they currently focus on pigeons, “different species can be used depending on the environment or payload.” Bloomberg echoes of other similar implantations, such as the brain of cows for NeuroFarming, so that they produce more milk. And a rather spooky ultimate goal: “to create the next human species after Homo sapiens: Homo superior.” Possible applications. After the tests, the company ensures that the system is ready for practical implementation. According to Neiryhave no plans to use these birds for military purposes despite the fact that in a war or surveillance scenario their use is disruptive: the radars are programmed to filter out winged fauna as ‘noise’ or false positives. In short: they would go unnoticed. Among the ideas of use where they see an opportunity are infrastructure inspection, support for search and rescue, coastal and environmental observation or monitoring of remote areas in places like Brazil or India. Where is the ethics?. Mechanical drones are easier to control, they are capable of carrying larger loads and obviously, they do not need to feed nor will they defecate on you. And that’s not to mention the ethical implications of altering an animal’s behavior. Gizmodo details that after the surgery to implant the chip, the pigeons are almost ready to fly, so the risk “is low for the survival of the birds.” Of course, the startup has not provided independent third-party reviews, which makes specialists question the ethical implications of its technology. The bioethicist and law professor at Duke University Nita Farahany affirms that “Every time we use neural implants to try to control and manipulate any species, it is disgusting.” In Xataka | The war in Ukraine has become something absurd: there are drones shooting at Russian soldiers dressed as “penguins” In Xataka | We had seen everything in Ukraine, but this is unprecedented: Russia is not launching drones, it is launching “Frankensteins” Cover | sanjiv nayak and Andreas Schantl

There is a Chinese startup creating the most amazing robots of the moment. It’s called X Square

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The only embodied AI (bodied artificial intelligence) company backed by the three Chinese technology giants: ByteDance, Meituan and Alibaba. Just over two years of life and financing rounds in which they have managed to overcome the 400 million dollars. These are some of the cover letters of X Square Robot, one of the most promising companies in the field of robotics. where does it come from. XSquare It is a Chinese startup which was born in 2023 at the hands of Wang Qian, an engineer and doctor from the University of Southern California who, in recent years, has maintained a discreet profile in the industry. The company was born not only as a company aimed at creating humanoid robots: they are also behind the development of the language models necessary to lead in robotics. The roadmap. The startup, despite its youth, has made the most of its two years of life. December 2023, full financing and start of operations. March 2024, efforts begin to develop a general large-scale model for embodied AIthe brain that would move its robots. May 2025, commercialization of Quanta X1, a bimanual wheeled robot equipped with its WALL-A model. Specially designed for logistics and commercial tasks. July 2025, first to show purposeful AI model general capable of directly controlling a highly dexterous robotic hand. Unlike traditional approaches—based on rules, fixed trajectories or action-specific training—the system uses a single model that integrates perception, planning and control, allowing grip and movement to be adapted in real time to changes in the environment. August 2025, Quanta X2 arrives, its first humanoid robot, also with a wheel base. The product. Quanta X2 is the latest solution from X Quare, a wheeled humanoid robot that integrates the company’s own AI model. This model allows the robot to have a vision system, autonomous motion control, real-time task planning, etc. We highly recommend watching the demo video in which X Square shows it in operation, because it is spectacular. Why is it important. X Square does not sell ordinary humanoid robots, it sells cognitive capacity. The norm in robotics companies is to design the hardware and adapt it to existing software. X Square designs its own models focused on physical AI. This is something fundamental for his native country, China. The country wants to accelerate the automobile industry in 2030 with 100% automated factories. The aid policy is especially favorable for local companies developing robotics solutions. China has created centers responsible for training robots to imitate human behavior. X Square software is key The backup. X Square is backed by giants like Alibaba and Bytedancethe first group having announced an internal team dedicated to robotics using Qwen, its AI models division, as a base. Despite Alibaba’s muscle when it comes to creating its own language models, the investment of more than $140 million in X Square Robot makes it clear that it is much more than a typical startup. Image | XSquare In Xataka | Robotics has just broken another scale barrier: there are already autonomous robots smaller than a grain of salt

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