Vlex, the startup that has created “the chatgpt of lawyers”

Oakley Capital has sold Vlexthe Spanish legal platform, to the Canadian Clio for more than 1,000 million dollars, according to Expansion. This operation makes the company founded by the FAUS brothers a quarter of a century ago in the sixth active Spanish unicorn. Why is it important. This sale represents the greatest success of Oakley Capital in Spain and confirms the unstoppable boom in the sector LegalTech. The valuation involves multiplying the VLEX value in less than three years, since Oakley bought it for 70 million At the end of 2022. In detail. Vlex operates as the “chatgpt of lawyers”: It offers access to more than 1,000 million legal documents from one hundred countries through its AI ‘assistantVincent ai‘. Its 2.8 million users include from Harvard Law School to Legal Deloitte. Every day incorporates 350,000 new documents to its platform. Oakley Capital, the British manager who in Spain controls idealistic and has invested in Seedgdemonstrated its smell to detect opportunities before boom. When it was done with VLEX control, the company barely generated five million Ebitda. Between the lines. He Timing Oakley has been impeccable: he invested just before the generative AI put the world up, including the legal sector. The pandemia had already accelerated the digitalization of the offices that were still behind, but Chatgpt changed the story. And tools like Vincent ai ceased to be a curiosity, something complementary, to become fundamental. The threat. For its rivals, this operation is a turning point. Cliovalued at 3,000 million and backed by Goldman Sachs, has suddenly been made with the largest digitalized legal library in the world. The consolidation of the sector accelerates. Deepen. The ecosystem LegalTech It continues to attract a lot of money in investments. The best example is Harvey, American competitor from Vincent AI. It was valued at 5,000 million A few weeks ago, when he got heavyweight as investors such as OpenAi or Capital Sequoia. And there is Vlex, demonstrating that Spain is able to compete in the First Technological Division. Not in fundamental models, but in more specialized products, more than niche. Like the new unicorn. In Xataka | Spain is no longer the ugly duckling of the European technological ecosystem. Now has the opposite problem Outstanding image | Vlex, Mockuuups Studio

An AI startup with six months of life and six employees has sold for 80 million dollars. Vibe-Coding, of course

Maor Shlomo is 31 years old, is Israeli and six months ago created a small platform of Vibe Coding. He did it almost like a secondary project, but the growth of the project has been vertiginous. So much that after that time the company has just sold for 80 million dollars. We are facing a sign of the times that come to us. AI as a unicorn promoter. There are more “unicorns” than ever. None has become a true giant, but reaching an assessment of 1,000 million dollars has become something relatively normal. Achieving something like that seems very complicated, but there is already talk of how the irruption of AI will make many entrepreneurs convert their startups into unicorns. Uniquersonal unicorns. The difference With the current unicorns It is that these future business successes may be created and managed by a single person. It is at least what it promises according to some AI, which will multiply productivity and avoid having to depend on other people to generate spectacular value. It is already spoken of “Only Unicorns” either “One-Person Unicorns“And the impact that AI agents can have in this type of startups. An example that brings us closer to that future. Shlomo created his little startup, called Base44just six months ago, but at that time the growth of it was such that it ended up hiring six employees According to Ctech. This week he announced that he had sold his company to Wix – a Platform to create blogs and websites – for 80 million dollars. 25 of them which will go to Shlomo and their team as “bonus” to retain them and continue working in Wix – also Israeli – although there are no data for how long they will have to stay in the company to collect said bonus. Vibe Coding. The platform created by Shlomo Perimte users create applications or games without having programming experience. It is an example of That fever for Vibe Coding that we are seeing in the world of programming. In just a few months Base44 managed to attract 100,000 users, in addition to signing various agreements with several Israeli companies known as Etoro or Similarweb. A singular entrepreneur. Shlomo had already co -founded Explorium, a predictive analysis company of Big Data, at age 24. He also made her In a successbut he had to comply with Israeli military service. After completing the service at the end of 2024, he preferred not to return to Explorium and work on another project. He counting The origin and its progress when creating base44 through Your X account. In less than 60 days I already had 100,000 users and two weeks ago indicated that he had generated a benefit of $ 189,000. Far from being a unicorn. Shlomo’s success is remarkable, but of course it is far from being considered a unicorn and much less One of those “only unicorns” “It has several employees in your team,” that is spoken so much and that the theoretically promotes. And yet, it is a good example that artificial intelligence raises the future. The AI ​​agents are in diapers, but the promise is that they will automate a lot of processes for those who use them. That could impact significantly on the template that these future startups will need, but for now everything is, we insist, a promise. One that Shlomo has become a reality. Image | Christina In Xataka | India has its own ‘Silicon Valley’ in Bangladés. The problem is that it is a ghost city

A Basque startup of AI has just lifted 189 million euros with a great idea: compress the AI

Before We compressed files with Zip. Now what we begin to need is to compress the AI ​​to make it more small and efficient. That is just the idea that the founders of Multivrse Computing had, a Spanish startup which is becoming the new jewel of the crown of our AI industry. Its founders, (in the image, from left to right, Román Orús, Enrique Lizaso Olmos and Samuel Mugel) and Alfonso Rubio have much to celebrate. Investment Round. Multivize Computing He has just closed an investment round of 189 million euros (215 million dollars). The round (series B) has been led by Bullhound Capital, but it has also participated HP Tech Ventures, Sett, ForgePoint Capital International, CDP Venture Capital, Santander Climate VC, Quantonation, Toshiba and Euskadi Risk Capital of Euskadi – Spri Group. Last March the company received An investment of 67 million euros by the Government of Spain. The inference AI by flag. Although the current prominence usually takes it the great technological ones that invest billions of dollars in data centers to train Great language models (LLM)there is more and more focus on the other part: the one we use users when asking things to Chatgpt, for example. It is the so -called AI inference, and the estimate is that in 2025 the value of that industry reaches 106,000 million dollars. In Multivrse Computing they want a good piece of that cake, and to achieve this, its great trick is a unique technology. Compactifai. This is the name of The compression technology of AI models developed by multivance computing. What this allows is to convert very large models – which costs a lot to “execute” – in much smaller and efficient models, which allows them to make them more manageable and save many resources (and time) during inference. How to compress an AI model. Román Orús, scientific director of the company, led A study May 2024 in which they precisely explained the concept of “tensioning networks” of quantum inspiration and that allow compressing these models. Its operation is based on decomposing the matrices of pesos from the neural networks “truncating them” and retaining only the largest and most relevant values. In essence the concept focuses on discarding the less relevant information of the model to be left alone with the most relevant. But that does not make the model less accurate? In fact, but the degree of truncation can be controlled so that there is a good balance and commitment between compression and loss of precision. Even by compressing these models, in Multivars Computing they say The fall of the models It is only 2 to 3%. Same yield in a size 95% lower. To mitigate that precision fall, this system includes a rapid resentment phase called “healing” that can be repeated several times to achieve even closer accuracy to the original version. In the end, they affirm in the company, they can compress up to 95% a model of the performance. It lowers the use of AI. According to Your dataa model as it calls 3.1 405b has an operational cost of about $ 390,000 if we want to run it at home (13 GPUS H100, 9100 W of consumption), but thanks to Compactifai it is possible to reduce that cost to 60,000 dollars (2 GPUS H100, 1,400 W). One more “thin”. The “Slim” models provided by the company – Derivatives of Llama 3.3 70b or Call 4 scout– They are compressed versions that theoretically do not lose precision. They can be executed through the AWS platform or by licenses that also allow us to use it on-premisethat is, in local/own infrastructure. According to their metrics, these models are between 4 and 12 times faster than their non -compressed versions, which translates into an inference cost that is between 50% and 80% lower. Image | Multivize Computing In Xataka | Spain is finally

Using a mobile is a real challenge for older people. An Aragonese startup has a promising solution

Is called Maximilianabut it is not a person. It is a mobile. Specifically, one specifically designed for our elders. The idea that this device raises is unique, already a difference from other mobiles for the elderly, everything is based on trying that these people have to touch anything to communicate with their loved ones both in video calls and normal calls and to alert possible emergencies. Innovating from Aragon. Many business projects are born from personal needs. This happened for Jorge Terreu (Zaragoza, 26 years old), who a few years ago was Erasmus in France and had trouble contacting his grandmother, Maximiliana. This is how the germ of her project was created: create a phone to be able to talk to her without her having to do anything. @Miguessal This mobile can save your grandfather’s life, because it makes video calls down alone. It was created by a grandson for his grandmother, Maximiliana, who did not manage with technology. What began as a gift, is today a mobile that thousands of people use. You can learn more about him at www.maximiliana.es. #Salvarvidas #Emercances #Primerosauxilios #Urgences #security ♬ Original sound – Miguel Assal The principle of something big. Terreu prepared a mobile prototype in which he started the video call and the phone answered alone. He sent it to his grandmother in Madrid and soon realized that this idea could serve many more people. In March 2020, during the pandemic he donated five phones adapted to a hospital in Zaragoza and verified how users were delighted, so he launched the adventure of creating his own company and his project of a mobile for seniors. What would be called, of course, like his grandmother. Maximiliana. They hardly have to touch it. People who use Maximilian mobiles hardly have to touch it, because they can receive video calls or messages without having to play in the interface. If a relative or friend makes a video call, Maximiliana sounds for a few seconds and automatically breaks. If it is the elderly the one who wants to call, the interface is especially intuitive and simple and is based on a “desk” on which the faces of the family appear. Just press one of them to make the call. Emergencies. Maximiliana also has emergency call options. Thus, if for example the elderly falls and cannot handle the mobile with precision, it is enough that it agitates it a bit to activate the emergency call to the assigned contact. In those calls the mobile uses the flashlight to emit the international relief signal. Always located. Another of the Maximiliana options It is what allows to know at all times the location of that elderly, something especially useful if they are lost or misplaced. The software also shows the battery available so that family members can warn that it loads it to continue using it without problems. THE MOBILE AS SERVICE. Maximiliana includes the mobile, the control app for the family and the accessories, such as the cord or antiahogo strap that allows the device to be hung by the neck. The product is not sold as a mobile without more, but as part of a subscription service. The “basic pack” cited costs 24.90 euros per month, but it is also possible to directly hire the SIM card (unlimited calls, 25 GB of the Internet) as part of the “complete pack” for 29.90 euros per month. Includes apps like WhatsApp. Maximilian mobiles remain mobile, and allow to continue accessing applications such as WhatsAppChamber or Gallery. The person in charge of the device – normally, a relative of the elderly – chooses from the control application which applications wants them to appear on the mobile. It is the relative who acts as “administrator”. The relatives of the people who use Maximiliana are the ones in charge of managing and configuring the mobile options. Thus, they can add contact faces, change order (up to six on the screen), or adjust the sound duration. A grandmother like Community Manager. As they pointed out In the countryMaximiliana’s team has been growing as the success of the service has been curdling, but there is a very special component in that template. Your Community Manager It is Conchita Polo, grandmother of Pedro Malo, partner of Terreu in the project. More than the phone matters the service. There are currently good options when offering Mobile for seniors And also tips for Adapt any Android phone To make it easier to use for them, but Maximiliana’s proposal is interesting because everything combines. Take advantage of the idea of parental controls that for example allow to know the location of our children or control the limits of use, but adapting it to a population sector that can certainly take advantage of it in a beneficial way. Image | Maximiliana In Xataka | What five mobiles would I recommend to give my grandfather this Christmas, for simplicity and quality-quality

The startup of AI aims to go beyond chatgpt

More than two years have passed since Openai launched Chatgpt and marked the beginning of the Revolution of Artificial Intelligence (AI) that we are living. The startup led by Sam Altmanhowever, it seems willing to go further: now it points to social networks, According to The Verge. A social network of OpenAI. Sources consulted by the renowned technology point out that OpenAI is working on a platform similar to X, the social network previously known as Twitter and acquired at the end of 2022 by Elon Musk. The company, for now, has not made comments about it. People who spoke on condition of anonymity explain that the project is in a very early phase. There are not too many details, but an internal prototype is mentioned with a typical social network feed and image generation functions via chatgpt. Independent app or part of chatgpt? The aforementioned information arises several questions, as if the company decides to launch its own social network, if it would be part of Chatgpt, probably integrated into the application, or it would be developed as a separate platform, using some functions of the chatbot. In the case of X, its main competitor, integration with XAI is increasingly deep. Users can interact with Grokthe chatbot of the house, which not only has conversations, but also generates images And it has an independent app. Sam Altman, CEO of OpenAI In search of data. X and XAI reinforced their corporate link after their recent merger. Behind that movement was a key reason: the data to train artificial intelligence models. An own social network would allow OpenAi to access that same advantage. And of profitability … Many things have happened since Openai shook the artificial intelligence board when putting his chatbot within everyone’s reach. The startup seemed unattainable, so much that it caused a “red code” in Google, which was forced to move card so as not to be left behind in the new race. But the panorama has changed. Google is presenting more and more solid products, has cut distances and has even surpassed OpenAi in some cases. Although Sam Altman’s company is still the most popular, he faces an awkward reality: It is not yet profitable and continues to burn money. The launch of a social network could help you attack that front. Of course, as we said, the sources indicate that the project is in a very early phase and it is not clear if it will see the light. What is clear is that the technology industry moves at an increasingly accelerated pace. Images | Xataka with chatgpt | Steve Jurvetson (CC by 2.0) In Xataka | The images of AI already flood the Internet. Google and see 2 will serve to start filling it with videos generated by AI

The startup of ia of one of Openai’s co -founders has no product. Even so it is valued at 32,000 million dollars

Promises and expectations can use a fortune. It is the only thing that justifies that a startup of which nothing is known It is worth good 32,000 million dollars. That is more than eBay, Endesa or Hyundai, but with the difference that these companies have been working for years and even decades to achieve that figure. But we are in the AI ​​era, and here, we insist, promises and expectations are worth a lot. There is not much more than right now it seems to offer Safe Superintelligence (SSI), the startup of Ia co -founded by Ilya Sutskever, who was already confused of OpenAi and abandoned his ranks less than a year ago. According to Financial TimesSutskever has managed to lift a financing round of 2,000 million dollars for its startup, which makes the assessment of the same ascend to those mentioned 32,000 million dollars. The figure is also surprising because the economic moment we live, with tariffs threatening everything, precisely raises an important brake on investment. In September SSI He already lifted $ 1 billion and that made its valuation out of 5,000 million. That figure has multiplied by six, which seems to make it clear that they have something striking in hand. In An interview Last year Sutksver raised an AI with “nuclear safety”clarifying that “no matter how safe we ​​mean as when we talk about nuclear safety, as opposed to safe when we talk about” trust and security “”. In a later interview in September this engineer and entrepreneur indicated that he and his team had “identified a new mountain to climb and that it is something different from what I previously worked on.” Sources close to SSI have indicated that the company works in very special ways to develop and climb AI models. If true The milestone would certainly be intriguingespecially now that it is criticized that climbing – more gpus and more data to train AI models— It no longer provides such striking improvements. Be that as it may, the former OpenAi employees are apparently very well after having left the company. We have another example in Look Muratiwhich has also launched a call startup Thinking Machines Lab. He is also working to raise an important investment round … and also does it without having any product to show. So are these times. Image | OpenAI In Xataka | There are too many AI models. That raises a true death sentence for Anthropic and Claude

Manus is the Chinese startup of AI that has just launched a 200 dollars a month. It is a bad sign for the industry

Some called him the other “moment Deepseek“From China. This new model, called Manusquickly became viral for its ability to do deep analysis looking for sources of information and then synthesize clear but detailed answers on any issue. It was a direct competitor of OpenAI and its “Deep Research” modeand after being available limited and free, now its creators have decided to market this product big. With subscriptions, of course. Manus. Although its creators describe it as an AI agent, in reality Manus is fundamentally aimed at giving more meditated responses and after a deep analysis of various sources of information. It is true that this process automates, but does the same as Other “AI agents” such as Openai Deep Research mode and also those who also offer Claude or Gemini. Its performance, of course, is comparable to that of these services, and was initially available (under invitation) for free. That is over. Face subscriptions. As they point out In Bloomberg Manus now offers a public version of payment for $ 39 per month to be able to use its benefits with 3,900 credits, but also has a higher plan of 199 dollars per month for version with even less limits (19,900 credits) when it comes to exploiting those deep research modes. Taking into account that the service has just appeared, those prices of course They are aggressive and even controversial. Be careful with this. Manus’s decision is surprising for several reasons. To start, it is a company with hardly any market penetration and practically unknown to the general public. Come from good 200 dollars a month It seems to risk sinning for excess confidence. Not only that: the worrying thing is that this can be the canary in the AI ​​mine. This is: a precedent of what comes to us, with subscriptions of business companies that ask us for true monets for services than more reputed ones (such as Openai) also offer and without a clear differential factor. Committed virality. With the Internet boom and social networks virality was achieved with free massive products that were monetized Through advertising. Google and Facebook nurtured those models, but AI seems to depend on the freeemium model: we can access basic functions, but we do want to take advantage of the models, we have to go through a subscription model. And there is a clear reason for it. The generative AI is very expensive. The cost of each consultation we made to chatbots of AI is comparatively much greater that for example have traditional search engines. Training these models is also exceptionally expensive –It is estimated That GPT-4 training cost about $ 100 million-and you have to try to recover the investment. IA companies know how to do it: increasingly faces. And we are getting used to subscribing to everything. With the “era Google” We did not pay for the product but we were the productbut little by little payment subscriptions have been taking force with the rise of content streaming. We are already very accustomed to paying for services we use, and AI wants to take advantage of that trend. The problem, as is the case with the aforementioned streaming segment, is that There must be differentiating factors to bet on a payment service and not for another. And there Manus has it especially difficult, because he competes with very reputed models and that can be perceived as more confidence for users. No own model. Manus is a “Wrapper“, a platform that is built from the functions of other AI models such as Claude, from Anthropic, or Qwen, from Alibaba. It does not depend on itself. Its creators do not seem to have their own model, but even having the problem is that they will not be able to invest in it the amount of time, money and resources (as talent) necessary for the models to be especially remarkable. Too much competition. But Manus faces true giants. It is a situation analogous to which Anthropic and his chatbot claude livethat do not have the financial muscle of Google, Microsoft or even OpenAi. Manus has both that competition in the US and especially important rivals in China. There Deepseek is the main protagonist, but Alibaba, Baidu or Tencent They will not let a newcomer steal their wallet easily. In Xataka | Now the competition to overcome Depseek is also fought in China herself: Alibaba has just announced QWen2.5-max

In the era of hybrid work there is a new unicorn of business management: the Barcelona factorial startup

In 2020 and in full pandemic a technological startup of Barcelona called Factorial He lived his particular turning point. The company had an attractive and versatile online platform for human resources management, and the confinement gave a unique opportunity to make potential clients known: it offered its platform for free until confinement passed, and that made many known and realized how well that platform could work while the teleworking became strength. His CEO, Jordi Romero, explained So how many of the new clients who registered in factorial maintained their management in local files or at most “in a dropbox folderbut nothing more. “In April the firm achieved an investment of 16 million dollars of CRV, but that was a stressful round. Just before the pandemic came the company had” an agreement between knights (with CRV), so to speak, “Romero commented,” but the money had to be transferred yet. “ The decision to offer its platform for free was a success, and many companies verified the benefits of that comfortable online management that allowed everything very well organized and accessible in a simple way. At that time that round was the largest that was seen in Spain, and it happened at a time when the labor market was in a certainly strange situation. Factorial took advantage of something that no other company in the sector had previously taken advantage of: His platform was perfect for companies that or did not have HR professionals for being too small, or that if they had them were overcome by the workload or by having to make those tasks with others of management. The factorial solution precisely solved the problem, and that marked a before and after for her and her clients. New and important investment rounds After that round starring CRV, 18 months later factorial became one of the protagonists of the Spanish technological sector. In September 2021 the general investment firm Catalyst bet 80 million dollars for her and confirmed her remarkable projection. This bet was a success: the factorial growth has made it one of the most promising technological startups in our country. A year later, factorial lifted another 120 million dollars in a round with the majority participation of Atomico, but also of GIC, Tiger Global, CRV, K-Found and Creandum. That made it a de facto “unicorn”: its valuation was already 1,000 million dollars, twice what was a year earlier with the previous round. The company, which then had 7,000 clients in Europe and in Latin America – where those first years had its great focus— has not stopped growing And he has had a especially notable 2024. His number of customers is now 13,000 SMEs, and has just given another great news: General Catalyst, which as we said already invested 80 million dollars in it, has expanded that investment at $ 120 million, so that the total bet It becomes 200 million dollars. It is striking that this extension of the investment is carried out without diluting the capital of its shareholders. Jordi Romero, CEO of Factorial (on the left in the image with Bernat Farrero, another of the co -founders) explained how that is “something uncommon in hypercrection companies that, in addition, are financially sustainable.” Pau Ramón, the third co -founder and exco from the company, abandonment Factorial in 2023 for personal reasons. The funds, as those responsible for Factorial point out, will go to the expansion of the firm in Germany – where it is growing especially fast – France and Italy. Not only that: they will allow this firm to give the final impulse in a transition in which they have been working for years: to go from being a human resources software to a large business management platform. SANNED ACCOUNTS AND OWN RISK CAPITAL FUND They hope to reach about 20,000 clients before the end of the year, Romero said In the countryand its forecast is to exceed 100 million dollars of recurring income this year. As indicated in that article, 2024 has been the first year in which the company has grown up without consuming its own resourcessomething especially important to consolidate the profitability of the company. Bernat Farrero, Pau Ramón (now outside the company) and Jordi Romero, co -founders of the company. Source: Factorial. The firm had at the end of 2024 with 90 million dollars of cash reserves, something striking because it shows the financial solidity of a company that is capable of growing without practically boxing of cash. The investment round seemed almost unnecessary, but according to Romero that allows factorial to “continue its expansion without compromising its financial stability or diluting the capital of its shareholders,” as we mentioned earlier. The company has no immediate plans to go over – “We are not in a hurry,” Romero explains – and does not seem interested in inorganic growth inking or buying other companies. What they do, explained those responsible In araIt is to bill 1,000 million euros in five years. And although the exit to the parquet is for now an unknown, what those entrepreneurs have done has been, as they pointed out In the avant -garde, Create a risk capital fund of 15 million euros with which they want to finance emerging companies. It’s called Itnig Capital, and He has already invested One million euros in nine Spanish companies. The “Startup factory” of Factorial seems to have started with good foot, and is helping that new firms created by former factorial employees take their first steps, as pointed out expanding A few months ago. Growing, but with comparatively low wages During all this factorial time it has evolved. Its creators began working on a human resources platform to manage both employees and various administrative tasks, but in recent times they have become a “Comprehensive Business Management Platform“That allows the management of projects, training and control of expenses. Romero, Farrero and Ramón shared the same frustration when creating factorial: that in many companies there was little technology that helped to climb … Read more

A European Startup and Microsoft have allied to overcome a major challenge: simulate brain reasoning

Simulate the human brain It is one of the great scientific challenges of our time. It is not just a matter of calculation power: for years, laboratories around the world have invested millions in trying to replicate their operation, but even with advances in artificial intelligence (AI) and supercomputing, the goal is still far away. Why is it so difficult? Because the brain is not only an information processor, but an ultra -efficient system of just 1.4 kg with more than 86,000 million interconnected neurons. Imitating their cognitive, emotional and linguistic abilities remains a border that we have not yet crossed, although some believe we are close. INAIT simulation technology and Microsoft’s computational power Inait, a Swiss startup founded in 2018 under the premise that “the only proven form of intelligence is in the brain”, has closed an alliance with Microsoft to develop models of the capable of simulating The reasoning of mammals. Their objective is to apply them in sectors such as finance, risk management and personalized advice. In theory, everything fits perfectly. Inait says having a simulation technology based on decades of research financed by the Swiss government, and Microsoft puts on the table the infrastructure and the business model necessary to transform this commitment into products ready to reach millions of customers worldwide. But the idea is not to develop human brains simulations with all its faculties overnight. Inait is training Digital models of different sizesdesigned to address specific challenges. For example, for advanced trading or the development of industrial machines capable of adapting to complex and dynamic environments. Digital visualization of a region of the Neocortex and the thalamus, including its network of blood vessels. Here the advantage is clear: take advantage of one of the most amazing faculties of the brain, which is its ability to face completely new scenarios and adapt quickly and continuously using previous knowledge. Even when it comes to sensory, emotional or social stimuli never before experienced. According to Financial TimesAdir Ron, director of AI and Cloud of Microsoft for emerging companies, highlighted the approach of the Swiss startup: “Inait is a pioneer in a new AI paradigm: it goes beyond traditional models based on data towards digital brains capable of a True cognition” For his part, Henry Markram, co -founder of INAIT, said that AI models based on brain simulations could not only learn much faster than current deep reinforcement systems, but also have significantly lower energy consumption. This would mean a key advantage in terms of efficiency and sustainability. Now we only have to wait to see if this vision translates into tangible advances or if, like so many other technological promises, You can’t advance enough. The possibility of building AI models that imitate the learning and adaptability of the human brain is a monumental challenge, but also an extremely interesting goal. Images | Milad Fakurian In Xataka | We already know at what speed our brain processes: just 10 bits per second In Xataka | Figure creates a system to make large -scale humanoid robots. And of course, there will be robots manufacturing robots

Multivize Computing is the Startup of San Sebastián that “compresses” the AI. The government has just invest 67 million euros in it

Óscar López, Minister for Digital Transformation and Public Function, announced within the framework of the Mobile World Congress of Barcelona something interesting: an investment of the government to support a promising Spanish startup of artificial intelligence. Multivize Computing. The Spanish company Multivize Computing It has venues in San Sebastián, Toronto, Munich, Paris and London and aims to “revolutionize artificial intelligence through the understanding of models.” Its products are able to compress large language models at 10% of its original size, with cost reduction and efficiency improvement that implies. Compressing the AI. Its main product is compactifai, a “compressor of AI models” that allows more fast, cheap and efficient ia systems. According to Your dataa model as it calls 3.1 405b has an operational cost of about $ 390,000 if we want to run it at home (13 GPUS H100, 9100 W of consumption), but thanks to Compactifai it is possible to reduce that cost to 60,000 dollars (2 GPUS H100, 1,400 W). 67 million for this European “unicorn”. López has announced that the Government will enter as a shareholder in Multivrse Computing through the Spanish Technological Transformation Society (SETT). In 2024 Digitaleurope, employer of industries in the process of transformation in Europe, recognized the company as the future European Uniccorn. It is one of the most promising emerging companies in Spain according to LinkedIn, and this investment is of course a commitment to that future. And aids for companies. The minister took the opportunity to announce a call for 130 million euros (up to 5 million euros per project) from FEDER funds for companies that incorporate AI “in their value chains.” There is also another additional call of 50 million euros for the integration of AI in companies in the health sector. There are already real cases of use. A previous call endowed with 50 million euros and launched by Sedia in 2021 concluded in December and there have been real cases. One of them is Tartaglia, focused on the health sector and endowed with seven million euros. This project has developed a system so that health institutions can safely share data. Another of these projects is agrarian, with an investment of nine million euros and that has taken advantage of AI to for example foresee the yield of the crops through satellite images, early pest detection or modeling of the energy expenditure of large fridge cameras. In Xataka | Spain is finally

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