startup

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

There is a startup that turns the ashes of your dead into stones. And he is charging more than 2,000 euros for it

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Cremation is an increasingly common practice after a death and it is not uncommon for many families to keep the ashes or spread in special places. There is a company that has had an idea to turn the remains of our loved ones into a new object: stones. Parting Stone. It is the name of a startup founded in San Francisco that is dedicated to solidifying the ashes of dead people and shaping them into soft, rounded stones. Justin Crowe, the founder, told in a interview with the Wall Street Journal that people usually keep ashes in any closet because it is not something we feel comfortable with, but when transformed into these stones they become a kind of amulet without that negative connotation. “Some families travel with the stones, share them with friends and loved ones, children paint on them; some people keep them in their pockets and even sleep with them under their pillow,” he says. First tableware. that the idea was born after his grandfather’s funeral, a traditional ceremony that made him feel uncomfortable at such a vulnerable moment. After the experience, Crowe began to think about how he could create something new for the grieving process and first came up with an idea: mixing ashes with ceramic glazes. He created tableware with this technique and began to receive orders, the problem was that to make it he only used a small amount of the ashes and he wanted to create something using more. Solidification. The process to turn ashes into stones is quite simple: refine them to a fine powder, mix them with water, shape the stones and cook. Normally about 40-80 stones come out of the ashes of an adult person and they warn that the color depends on each person. The service costs $2,495 for people and $1,195 for cats and dogs, so that’s nothing. The business of ashes. Cremation is a practice increasing around the world. According to Crossing World Group data, This year in Spain, cremation has surpassed burial for the first time, so these types of initiatives are increasingly common. In Spain there is a company called Omneo that turns ashes into a block of wax with an NFC tag. There are also companies that convert ashes in diamondsin trees and even in coral reefs. The most striking proposal of all is that of the Barcelona company Giem Sportswhich proposed the management of spaces within football stadiums to store the ashes of fans. Betis inaugurated a space of this type and they charged 3,000 euros to keep the ashes for a period of 99 years. Image | Pexels In Xataka | More than 300 people have been cryogenized hoping to be resurrected in the future, but no one has proven that this serves any purpose.

A Chinese startup claims to have created its own TPU to compete with NVIDIA. The only problem is that it is three years late

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A Chinese startup called Zhonghao Xinying (known internationally as CL Tech) has come to the fore with a bold promise. The company claims to have developed an AI chip that not only circumvents Western intellectual property restrictions, but also outperforms NVIDIA’s A100 chip. Which is very good, but also a little bad. Chana arrives. The chip in question has been named “Chana”, and according to SCMP we are dealing with a GPTPU (General Purpose Tensor Processing Unit). Unlike NVIDIA GPUs, aimed at accelerating AI workloads, this is an ASIC, that is, an application-specific integrated circuit designed from the ground up for neural network workloads. promise. According to Zhonghao Xinying Chana, it offers up to 1.5 times the performance of the NVIDIA A100 based on the Ampere architecture. Not only that: it achieves that performance with 30% lower consumption. The startup highlights that the computational cost per unit would therefore be less than half of that offered by the A100 chips. A little history of the company. Behind Zhonghao Xinying is Yanggong Yifan, an engineer formed at Stanford and the University of Michigan. He worked on the development of several generations of Google TPUs and also on the development of Oracle chips, and in 2018 founded this startup in Hangzhou together with Hanxun Zhengan engineer who worked at Samsung for several years. They were joined by other engineers from Microsoft, Oracle, NVIDIA, Amazon and Facebook, they indicate. on Baidu. We are therefore faced with several of those cases of “boomerang talent” with Chinese engineers who are forged in the US and then return to China to create solutions for their own industry. Solutions that do not depend on the West. Yanggong affirms that its chip features “fully self-controlled IP cores, a custom instruction set, and a fully in-house computing platform. Our chips do not rely on foreign technology licenses, ensuring long-term security and sustainability from an architectural perspective.” But. Although the achievement is striking, it is necessary to put it in perspective. The NVIDIA A100 is a 2020 AI GPU, and even with the improvements that this Chinese startup promises, its performance is, for example, far from H100 chips with Hopper architecture that appeared in 2022. Not to mention of the latest Blackwell Ultra chipswhich are currently NVIDIA’s greatest exponent in terms of AI chips. There are also no details about who makes the chip, and one of the candidates it would be SMICwhich has 7nm technology. They are very far away, and they have another problem. The technical achievement of these engineers is certainly notable, but everything indicates that they are still far from what NVIDIA and its competitors are achieving. like AMD or Google with its recent TPU Ironwood. There is another element that works against them: Chinese manufacturers continue without having direct access to the most advanced photolithography on the market, and although it also there is progress from Chinese manufacturers in that sense, competing is certainly complicated without access to the most advanced technologies. Pressure. In 2024 the company achievement revenues of 598 million yuan (73 million euros) with a net profit of 85.9 million yuan, but in the first half of the year the income was only 102 million yuan and had losses of 144 million yuan. The firm has reached an agreement with its investors by which it will have to go public at the end of 2026, or else it will be forced to buy back shares. The financial pressure is therefore notable for the company, which must demonstrate in the coming months that its roadmap is truly competitive. In Xataka | China was no longer supposed to be able to get its hands on NVIDIA’s most advanced chips. Until he found a shortcut in Indonesia

We believed that no open model could outperform GPT-5. A Chinese startup proves us wrong

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A Chinese startup called Moonshot just launched Kimi K2 Thinkinga gigantic open model with a trillion parameters that has done something that seemed almost impossible: surpass the best proprietary models from companies like OpenAI, Google or Anthropic. If we thought that “Open Source” models could never compete with GPT-5, Gemini 2.5 Pro or Claude, we were wrong. what has happened. This “AI laboratory” had already announced Kimi K2 in July with that gigantic size of one trillion parameters, but now they have released the “Thinking” version with that same size (32 billion active parameters, Mixture of Experts architecture). According to those responsible, the model is capable of maintaining stable use of agentic tools over between 200 and 300 sequential calls. Or what is the same: it can chain long sequences of actions autonomously and apparently without error. The best of all is not that: it is that it surpasses GPT-5 or Claude Sonnet 4.5 in various tests and costs much less than those models. The benchmarks. Those responsible for Moonshot explained how Kimi K2 Thinking achieves the highest scores in Humanity’s Last Exam (general knowledge, 44.9%) and BrowserComp (agent browsers, 60.2%). He is almost at Claude’s level in the SWE software development test, and is also almost the best in another of those benchmarks, LiveCodeBench v6. It is true that in some tests still slightly behind of its “western” rivals, but the achievement is spectacular. More benchmarks. Those responsible for Artificial Analysis have shown their first conclusions after evaluating it with various tests. Thus, they highlight its behavior in agentic tasks that simulate that the model is acting as a customer service agent. In this test it obtained 93% of the maximum, surpassing all its competitors by far (GPT-5 Codex High obtained 87%, for example). They will do more tests, but for now the prospects are fantastic. And on top of that, cheap. On CNBC indicate that training the model cost $4.6 million, a ridiculous figure considering that training proprietary models like GPT-5 It cost about 500 million dollars according to estimates. Using the Kimi K2 Thinking API is also very affordable: $0.6 per million tokens in and $2.5 per million tokens out. GPT-5 Chat costs $1.25/10 respectively, while Claude Sonnet 4.5 costs $3/15 respectively. The details. The model makes use of an INT4 quantization to improve its efficiency without compromising the precision and quality of its responses. Its context window—the “size” of the data we can enter when making prompts—is 256k, a relatively modest figure for large models but still notable. And as a good open model, we can download it to use locally… if we have a real monster at our disposal. The model weighs 594 GB, and for example joining two Mac Studio M3 Ultra It is possible to make it work locally relatively smoothly at about 15 t/s. Alibaba is behindyes. Although the model is developed by an independent startup called Moonshot, this firm has been financially supported by Alibaba, which is becoming an absolute powerhouse in this field. Already not only conforms with developing its own models, which are outstanding (Qwen is the clear example), but is also financing the development of other models such as Kimi K2/Thinking. China and its love for open AI models. During the last few months we have seen how China dominated in the field of open AI models —not “Open Source”—. The Asian giant has adopted an overwhelming philosophy with increasingly better models but which until now seemed to be several steps behind the large proprietary models of OpenAI, Anthropic or Google. This is no longer the case. The race is lively. This achievement represents a new vote of confidence for the open models coming from Chinese companies. It is true that they are huge and that makes it very difficult to use them in practice by end users, but they present an interesting alternative for companies. Image | idnaklss with Midjourney In Xataka | There are many “internal” races within the greater AI race. And Alibaba is winning Open Source

Synthetic influencers are already selling in the thousands. A startup offers them as a service to manipulate networks

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Influencer accounts created by AI are already a reality, some even have hundreds of thousands of followers. There is a startup that has taken this idea to the next level: they create and manage synthetic influencers to orchestrate massive actions on different platforms, all using AI. Their website reads “Never pay a human again”, a true declaration of intent. Doublespeed. It is the name of the startup that offers the service. Using AI, they create the accounts of these fake influencers and also the content, all with minimal human intervention, just a few finishing touches. Its goal is to “orchestrate actions on thousands of social accounts through the creation and massive deployment of content.” They count in 404media that the startup is financed by the Andreessen Horowitzone of the most important venture capital funds in Silicon Valley. Make it look human. The platforms have systems to detect bots, but at Doublespeed they have the solution to make their AI influencers appear human to the algorithms. In addition, the accounts they offer have been used, since newly created accounts with hardly any interactions are easier to detect as bots. The company’s co-founder, Zuhair Lakhani, said in a podcast that use a “mobile farm” (like the click farms) to manage all their accounts and boasted that one client got almost 5 million views in less than a month with 15 of these AI influencers. Raising the level. He astroturfing It is a tactic through which artificial opinions are generated that seek to appear real and spontaneous, all in order to give an impression of support (or rejection) of a topic or product. What Doublespeed does is next level, creating not only the message, but the “persona” who spreads it. Doublespeed sells “packs” between $1,500 and $7,500, depending on the number of posts they want to generate. Cons the rules. The point is that this practice goes against the rules of the main platforms, such as Meta, which they expressly say that accounts that “make a misleading representation of identity to deceive or confuse people” will not be allowed. It is not the first company to offer services of this type, What is striking is that it has one of the largest funds in the world behind it. dead internet. Is a conspiracy theory which says that the internet is full of bots and humans have been replaced by algorithms. There is some truth in it. According to the cybersecurity company Imperva, in 2024 more than half of internet traffic was non-human. With the emergence of AI, networks were flooded with AI Slop and now it also comes in the form of fake influencers. Image | Reshma Mallecha, Pexels In Xataka | The more we know about the evolution of the internet, the closer we come to a conclusion: bots can kill it

ASML and TSMC are masters of semiconductors. A US startup believes it knows how to end them: with X-rays

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A mysterious American startup called Substrate has made its appearance with a purpose extraordinarily ambitious: compete head to head with ASML. The Dutch company has become the master of the segment of advanced photolithography machines for chip manufacturing, but at Substrate they believe they have the key to turn the tables. Why is it important. ASML has no competition in the market since it placed its first equipment of UVE photolithography. The ASML thing is a monopoly de facto: If a chip manufacturer or designer wants to access to produce the most advanced models, it depends entirely on the Dutch company. No one has managed to stop it since then, and even China, which is trying to free itself from that dependence, it’s really complicated. Substrate. This is the name of this startup that has developed a new team in which use particle acceleration to manage lithography. This technology allows microscopic circuits to be etched onto silicon wafers, and this new company claims that its machines could be in manufacturing plants in the US within the next two years. It all sounds very good. Maybe too much, but they already have funds to try: they have just raised 100 million dollars and among investors There is Peter Thielco-founder of PayPal and current CEO of Palantir. And already, they will try to help create the new TSMC. The challenge is enormous: ASML has invested decades and billions of dollars to perfect its photolithographic equipment, and the complexity of this market makes it very difficult for companies created from scratch to compete. Substrate’s objective is twofold, because it also aims to ensure that its machines enable the affordable chip manufacturing in the US. Or what is the same: it not only wants to compete directly with ASML, but also allow American manufacturers to compete with TSMC on American soil. There it is nothing. Light is everything. When creating those circuits, some of the lines created are so fine that their dimensions are even thinner than the wavelength of light. To solve that ASML problem they do use of extreme ultraviolet light (EUV) through a very complex set of lenses and mirrors. These machines generate a type of artificial light that is capable of engraving those very fine lines on advanced chips. Very special X-rays. In Substrate they propose a different idea. Although they do not give all the details to prevent someone from copying them, their machines use X-ray lithography (LRX). A particle accelerator creates a light source from x-rays with a shorter wavelength, allowing the beam to be used to create advanced chips. Current Substrate machines are currently capable of working with 12 nanometer nodes, comparable to ASML High NA EUV machines: That would put them on par with the most advanced chip production lines in the world. LRX technology is not new. This technique has existed since the 1970s, but had been abandoned because longer wave techniques (UVP and UVE) continued to scale without the need to overcome the great technical challenges of RXL. In substrate they seem to have precisely the solution to those problems, which focused on optics and the need to use massive particle accelerators as a light source. And they promise brutal cost savings. At Substrate they maintain that their LRX equipment will have an estimated cost of about 40 million dollars, compared to 400 million for ASML’s High-NA EUV. In addition, there would be another associated revolution: the possibility of carrying out the so-called single exposure patterning at advanced resolutions (2 nm, 1 nm and beyond), thus eliminating the additional costs of the multipatterning (multiple exposures). If that promise is fulfilled, the production cost of advanced wafers would be 50% lower according to Substrate. But. Of course, it’s one thing to say it and another to do it. The precision of the process, they explain in Semianalysisis a monumental obstacle. The transfer of patterns (going “from light to silicon” almost “carving it”) remains problematic, and among the challenges is solving the roughness of the edges of the printed patterns, which is amplified during engraving. There is also the problem of stochastic noise (shot noise, random fluctuations in photons that cause defects) and secondary electron blurring inherent to the high energy of X-rays, which fundamentally limits resolution. There are also currently problems with the 1.6 nm overlay, which is still high for more advanced processes where 1.0 or 1.2 nm are sought. In Xataka | AMD is today a semiconductor giant. In its beginnings it was something much more humble: a blatant copy of Intel

The startup that capitalizes our fear of an invisible enemy

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The places where we can find microplastics grow as time passes. We have already detected them in Testicles, lettuce, at seathe breast milk either even in the air. Taking advantage of this growing concern for this pollutant, there is a London company that is selling an ‘innovative’ therapy: clean the blood of microplastics in exchange for a payment of 11,500 euros the session. It is not yet known if microplastics are in the blood. Today, microplastics have been found in many parts of our body, but the fact that they are circulating in the blood is something that today is not serious for our health. Although companies have seen the opportunity to create a great business around health and this pollutant. A luxury treatment in the heart of London. In the prestigious Harley Street, known for its private clinics and its wealthy clientele, between 10 and 15 people a week they sit on a comfortable armchair to undergo the treatment of the company Clarify Clinics. The procedure, which lasts about two hours, resembles a dialysis session. Although previously we have to pay 9,750 pounds, which would be around 11,500 euros. Something that the big stars pay such as Orlando Bloom. A cannula extract the patient’s blood and introduces it into a machine that separates the plasma from red blood cells. This plasma passes through a filter designed to catch microplastics and other pollutants such as perfluoroalized and polyfluoralized substances. Once the blood is ‘clean’, the plasma is recombine with blood cells and reintroduced into the body. So comfortable that you can work during therapy. In his attempt to attract more and more patients, CEO of Clarify Clinic points out that it is a “very comfortable” technique According to Wired. So comfortable is that he acknowledges that patients make calls, gather by zoom or even watch a movie while their blood is cleaned. Indicated for patients with nonspecific symptoms. According to the company itself, customers who go to their clinic share chronic fatigue or ‘mental fog’. Although the clinic also promotes its treatments for people who take medications to lose weight such as Ozempic, couples seeking to conceive or those concerned about dementia. The result is always the same: they come out as new. Science is not clear. The scientific community has shown that microplastics are literally surrounding us. But there is no evidence of its effects on the body. WHO itselfin a report published in 2019, he concluded that there is still not enough evidence to determine if they suppose a risk to human health. We do not know if they are safe, but we also do not know the risks they could raise to create specific therapies to ‘detoxify ourselves’. If we go to the website of this clinicthe truth is that available from a section called ‘Science’. But upon entering it offers many data, but few references (if not any) of research that speak of the effects on the health of microplastics. They are limited to what we know: their presence in numerous places. But, on the other hand, they point out that they eliminate all the effects of this pollutant. More research is still needed. Although some studies have found worrying correlations, causality remains very elusive. A 2022 review associated microplastics with damage to human cells in the laboratory, but did not examine health results in living people. More recently, In a study Published in the prestigious magazine New England He found that people with microplastics in the fatty plaque of their carotid arteries had a higher risk of heart attack and cardiovascular accident. However, the study was observational and could not prove that microplastics will cause That greatest risk. There could be other factors: patients with microplastics in their arteries were also more likely to be men, smokers and to have pre -existing cardiovascular diseases. A anecdotal -based therapy. Although the evidence is very small, the CEO of Clarify Clinics sells its therapy as a miraculous thanks to the effects it has on its patients. It points to the fact that higher levels of energy or better sleep are reported, and even herself monitors her dream with The oura ring And he assures that after the treatment, his sleep score has not dropped from 90, when before 70 was a good result for her. Biohacking for rich: a booming trend. Microplastic blood cleaning joins a growing list of high -coastal treatments and with doubtful scientific evidence. From the injections of stem cells in Bahamasuntil Receive a child’s plasma injection To stay young. And in many cases these treatments have a common goal: to stay young. And for this there are many people who They can invest millions of dollars in therapies. Our obsession with this objective makes even investigations are pointing to medications that reverse human agingalthough without thinking about the consequences you have. Images | Flyd Ozkan Guner In Xataka | Telling what worries the AI was just the first step: there are already bots that are passed through collegiate psychiatrists

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