Lucis raised a $20 million Series A this month, which is unremarkable until you notice the company was founded in 2025 and raised its $8 million seed only four months earlier. That’s not a funding round, that’s a company being chased. Singular led, with General Catalyst and Y Combinator following, bringing the total to $28 million for a company barely a year old.

The product is preventive health, a category with a graveyard’s worth of wellness-adjacent flops behind it. Lucis’s version is more clinical than most: it analyses more than 110 blood biomarkers across metabolic health, hormones, cardiovascular risk, inflammation and nutrient levels, feeds the results into an AI companion app, and, crucially, has physicians review the guidance before it reaches you. The pitch from co-founder Maxime Berthelot is that “the science is already there; what’s missing is a system designed to act before symptoms appear.”

At first test, 99.9% of Lucis users had at least one biomarker outside the optimal range, usually without knowing it. Either everyone is quietly unwell, or “optimal” is a marketing range. Probably a bit of both, and either way it sells retests.

The traction data is the kind that makes investors move fast. Among users who did a six-month follow-up, 75% improved at least three biomarkers without medication, and more than 80% chose to retest, which, in a category defined by people trying something once and forgetting it, is the metric that matters. Over 10,000 users across France, the UK, Ireland and Portugal, more than a million biomarker tests run, lab partnerships with Eurofins and Randox.

The skeptic’s note writes itself: a platform that tells 99.9% of users something is “off” and then sells them the retest has an incentive structure worth watching, and “prevention” is easier to sell than to prove over a decade. But the European framing is genuinely sharp, Berthelot wants prevention to be “the default, rather than a privilege”, and a Paris company going from zero to a chased Series A in a year, with Spain, Germany and Italy next, is exactly the kind of compounding this continent keeps producing.

Read these stories top to bottom and you’ll notice something: two different European startups, in the same stretch of weeks, raised serious money to solve the same problem, keeping enterprise AI agents under control. Barcelona’s NeuralTrust took €17.2 million. And London’s Geordie AI raised a $30 million Series A, led by Balderton Capital with General Catalyst, Ten Eleven Ventures and Crosspoint Capital. When a category produces two funded bets that close to each other, it’s usually because the underlying pain is real and arriving fast.

Geordie’s job is to expand a platform for securing and governing enterprise AI agents, helping companies safely manage autonomous systems as they multiply across the org. The thesis is the same one driving the whole sub-sector: agents are being deployed faster than anyone can govern them, they touch sensitive systems, they act without a human in the loop, and the security teams are several steps behind.

Two well-funded companies attacking the same problem from London and Barcelona isn’t redundancy, it’s a market forming in real time. The question isn’t whether agent security matters. It’s who owns it.

That two of these companies are European, and that one of them, Geordie, is barely a year old and pulled a $30 million Series A led by one of the continent’s best-known funds, is the part worth dwelling on. AI safety and governance could have been a category written entirely by American incumbents. Instead Europe is fielding multiple credible entrants, fast, with top-tier backing.

The risk for Geordie is the same one NeuralTrust faces, plus one more: they may end up competing as much with each other as with the platform giants who could bundle these controls for free. Category-defining races tend to mint one durable winner and a graveyard of fast-followers. But $30 million buys a real shot at being the winner.

The most interesting thing Orbem does is also the most unexpected: it uses AI-powered MRI, the same family of technology that images human brains, to determine the sex of a poultry egg, non-invasively, in under a second. The Munich company raised a €55.5 million Series B to scale that, and a good deal more.

The round was led by Innovation Industries, with Supernova Invest plus follow-on from General Catalyst, 83North and others. The underlying idea is that magnetic resonance imaging can be industrialised and pointed at biological materials that can’t be judged from the outside, bringing fast, scalable, non-destructive analysis to agriculture, food production and, eventually, healthcare.

The egg-sexing application sounds like a punchline until you do the math: the system has already scanned more than 170 million eggs, and parts of the EU now restrict the culling of male chicks. Orbem turned an ethics rule into a market.

The poultry case is the proof point. Orbem’s Genus Focus system has scanned over 170 million eggs, offering an alternative to culling male chicks, a practice now restricted in parts of the EU. Where regulation creates a mandate, a company with the only practical compliance technology gets a market handed to it. Orbem has since added a product that assesses egg fertilisation before incubation, letting hatcheries pull non-viable eggs early.

The Series B funds expansion into the United States, more scaling of the poultry business, and a move into fruit and vegetable quality analysis, plus continued work on healthcare applications, which is where the really large opportunity sits if the technology generalises. The risk is focus: a company applying one clever platform to eggs, then produce, then human health is a company that could spread itself thin chasing every adjacent market. But “Munich deep-tech firm industrialises MRI and builds a real business on it” is exactly the kind of patient, science-heavy European company that supposedly can’t get funded here. This one just raised €55.5 million.

There is a version of Arthur Mensch’s career that does not happen in Europe at all. He is a former DeepMind researcher, he co-founded a company with two ex-Meta colleagues, Guillaume Lample and Timothée Lacroix, and the three of them had exactly the resumes that, for most of the last decade, were a one-way ticket to Mountain View or London. The standard European tech complaint, repeated so often it became a kind of liturgy, was that talent like that always leaves. Mensch stayed, incorporated in Paris on April 28, 2023, and built Mistral AI into a company now valued at roughly 12 billion euros.

The funny part is the timing. Mistral raised over 100 million dollars when it was four weeks old, with no product, no marketing, and barely any public information about who was behind it. People in Paris heard the number in June 2023 and assumed it was a typo. It was not. It was the opening move of a founder who had decided that the most contrarian thing an elite AI researcher could do in 2023 was not leave.

The bet was that the oligopoly wasn’t finished forming yet

Mensch is precise about why the three of them started Mistral, and it is worth quoting his own framing because it is more interesting than the sovereignty boilerplate that usually gets bolted onto European AI stories. They had, in his words, “some experience with the large American players,” and from inside those companies they could see “that the world was moving toward a fairly clear oligopoly, and we obviously wanted to counter that oligopoly.” That is the entire thesis. Not patriotism, not subsidy-hunting. A read that the market structure was being decided in real time and that there was a narrow window to insert a third option before the door shut.

The American playbook is to replace the incumbents. The European instinct is to apologize for not being American. Mistral did neither: it shipped open models, took the enterprise money, and let the sovereignty argument follow the revenue instead of leading it.

So they shipped. First the proof that a fifteen-person team split between France and England could train frontier-grade language models at all. Then the deliberately disruptive choice to release those models open-weight, so anyone could take them, modify them, and run them anywhere, which is both a technical philosophy and a very effective way to displace established players who would prefer you rent intelligence by the sip. The business that grew on top is unglamorous and large: an enterprise platform, agent tooling, and a hosting operation that, as Mensch likes to put it, exists to “transform electrons into tokens.”

What “built in Europe” actually looks like on the balance sheet

It is easy to say you are a European company. It is harder to have the cap table prove it. Mistral’s does. The numbers Mensch laid out are unusually concrete for a private AI lab, and they describe a company whose center of gravity genuinely sits on the continent rather than one that flies a European flag over American capital.

Revenue in Europe ~75%

Revenue in France ~30%

Foreign capital on cap table <30%

Source: Mistral CEO testimony to the National Assembly digital-sovereignty inquiry, reported by French Tech Journal, May 19, 2026.

Behind those percentages is a company of about 1,000 employees, spending roughly 1 billion euros on R&D this year, targeting 1 billion euros in revenue by the end of 2026 against the 200 million it made the year before, and pouring some 4 billion euros into data centers in France and Sweden. The customer list reads like a directory of European industry: CMA CGM, Stellantis, TotalEnergies, BNP Paribas, ASML, the Caisse des Dépôts, France Travail, the French armed forces, and the government of Luxembourg on a framework contract. Mensch has even said Mistral is exploring designing its own chips, the kind of vertical-integration move that until recently was assumed to be the exclusive province of American hyperscalers.

The doom narrative is an import, and he wants Europe to stop buying it

The reason Mensch matters to anyone who wants Europe to succeed is not the valuation. It is what he did with the credibility the valuation bought him. On May 12, 2026, he spent ninety minutes in front of a French parliamentary inquiry on digital sovereignty, and the argument he made there was sharper than the usual “please fund us” testimony. His claim was that Europeans had internalized an American story about their own decline, and that the story was doing more damage than any technical gap.

His economics were blunt. The cloud, he told the committee, is now artificial intelligence, full stop, and AI is a high-margin layer that sits on top of everything else: “If you have no volume and no margin, you have no chance of reaching scale. You have to start from high-value services and work down.” Sovereignty, in his telling, is not isolationism and not a flag-waving exercise. It is leverage. In a world where you import all of your digital services from one country, you have no cards to play against that country. In a world where you make some of your own and export it, you do. The window to build that leverage, he warned, is about two years wide.

Power without leverage is just dependence with better branding.

You can disagree with the urgency. Plenty of people think two years is a number chosen for effect, and a founder warning that the race will be lost without action is, conveniently, also a founder who sells the thing that would prevent that loss. Read the signal clearly, because it comes with self-interest attached, as these things always do. But the self-interest and the public argument happen to point the same direction here, which is the rarest and most useful kind of alignment in this industry.

What makes Mensch a genuinely useful counterexample to the Europe-doomer reflex is that he did not write an op-ed about what someone should build. He built it, in Paris, with European money and European customers, and only then went to the legislature to say the quiet part out loud: the continent’s biggest deficit is not compute or capital, it is conviction. He happens to be living proof that the conviction, when you act on it instead of lamenting its absence, compounds into about 12 billion euros faster than almost anyone expected.

One of the best AI founders stayed, built Europe’s most credible answer to OpenAI inside three years, and then walked into parliament to tell everyone the leaving was always a choice, not a fate.

Filed by eu-tailwind. Independent reporting on the rise of European tech.