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Good morning and welcome to Sunday CET!

Two things this week:

  • if AI allows a firm to do the same work with half of the people, will that translate into half prices for customers?

  • did you know that VCs in Europe have been closing roughly one 100m+ early stage deal a month for the past one and a half years?

More on that below, in an overall packed one. Enjoy,
Dragos

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Signals

We have screened 183 fundraising deals closed in Europe in the past seven days.

We archive/transform deal-related data into an easy-searchable intelligent asset at N9, and email a selection of the interesting ones to our customers every week.

Interesting early stage deals

🇬🇧 FinalDose - the first programmable drug
🇬🇧Memco​ - shared memory architecture for AI agents
🇸🇪Migma - AI-powered email builder solution
🇫🇷 VirtualBrowser - remote browser isolation security solution

Cheat sheets

Market notes

900 billion reasons to be worried

This week Anthropic has been rumoured raising at 900b+, after OpenAI was traded at 852b earlier this year. Those asset prices seemed alien a few years back, and were reached after less than 10 years of OpenAI work - Anthropic was forked from OAI 5 years ago.

What’s interesting to me is that the numbers are not speculatively made out of thin VC air - they’re based on real revenues growing at rates that fit a DCF model. The number of customers spending over $100k annually on Claude has grown 7x in the past year, and have some 1,000 customers spending $1M+ annually, doubling from 500+ in under two months. Those crazy numbers translate into $45b annualized revenue and 20x revenue multiple - not insane for a high-growth software business.

Otoh, the fact that so much capital is concentrating in a handful of AI labs also means a very small number of companies have market power. Even crazier, this is not a mature environment, we’re still in an emerging market, far from an equilibrium, and nobody can tell for sure whether Anthropic or OpenAI will still be the dominant player in 5 years - the models are improving at an incredible pace and there’s many well-funded global incumbents, including Chinese labs which don’t get talked enough on a public level.

And the more we advance, the higher the barrier entries, as the cost of compute is a decisive factor for winning - note the circular structure of the funds i.e Google just invested $40b in Anthropic while Anthropic pays Google billions for compute. It’s kinda self-referential - how do you even differentiate between ‘channel fees’ and ‘investment returns’ in the statements?

Amazon took 15 years to reach similar market caps, Google took 10 years as a public company, even Facebook was much slower. However, those companies were about commerce and selling attention, while AI at this scale is transformative - automating cognitive labor is a much deeper economic shift. More importantly, the above-mentioned handful of private companies also get to control the infrastructure for cognitive work, or the backbone for the society - entire industries, governments, education systems. That creates leverage that's hard to regulate after the fact.

Which brings us to Europe, which has no foundation model lab operating at the frontier. Mistral is the closest thing, and it's orders of magnitude smaller, as the gap in raw AI capability is probably widening weekly. This also makes the eternal European tech conundrum even more actual - are we doomed to be tech laggards defined by a consumers market happily adopting whatever cool tech Americans invent?

This cycle is more nuanced this time methinks - we have a stronger talent pool filling out some local gaps, and that includes the Europeans working in the US and giving back, meaning a generation that doesn’t blindly copy what they see in the US. And oddly enough - I never thought I’d ever say this - there’s also a good edge of the regulation if shit hits the fan and AI systems cause significant harms i.e. biased hiring, manipulated information environments, opaque decision-making in courts or healthcare etc.

Nevertheless, let’s not forget that on this continent we’re living in a socialist-first amalgam of cultures and AI simply involves extra-pressure from a ‘growth and return on capital’ paradigm, best reflected by the ‘one-employee unicorn’ obsession and the constant fear of being trapped in a permanent underclass. And this happens in a society close to cracking, as is already alienated by the Russians, Trump, own leadership incompetence and the usual racist frictions.

There’s a reason for kids hating on AI (including mine) as well as Americans melting down right in the thick of it, an anguish which sooner or later will propagate over the ocean. I guess we need serious broader questioning on a larger societal level about who actually benefits after all if the productivity gains from AI are substantive.

  • if AI allows a firm to do the same work with half of the people, does that unit economic translate into cheaper outputs for ordinary people, or does it mean the same prices with higher profits?

  • if things can be done faster, will that translate into shorter working weeks or entirely different labor laws re-written for the AI paradigm?

  • will there be a societal AI dividend compensating for AI taking over people’s jobs - i.e South Korea or the US of A are openly talking about it.

  • how does sovereign AI play out when private American companies control infrastructure that governments, courts, hospitals, schools and militaries depend on? Same goes for speech and access to information.

And I can go on and on, this is real tech talk btw, not unicorns counting. Admittedly there’s timid Euro chatter here and there - Europeans are seemingly more concerned about internet cookies, GDPR obedience and prideful yet useless f-you games all while those societal disconnects are getting wider as shit gets real. And if you peek outside the bubble, it kinda looks like we’re all frogs sitting calmly in water that’s slowly getting hotter, aren’t we?

Alas, we’re living incredibly interesting times, mid compression of several transitions simultaneously: the end of US unipolar dominance, the automation of cognitive labor, the breakdown of postwar institutional architecture, and a great power competition that has AI capability at its center. Each of those alone would be a massive generation-defining shift - they're happening together, in a decade, and we’re right in the middle of it.

Mega deals inventory

You know you’ve been doing European VC intel for too long if you remember distinctly when a 100m+ Series A was a black swan event in the money managers community playing god with European startups.

Today, 100m seems to become the standard for whatever labelled sovereign AI and foundational model layer in Europe.

I just did a quick look at the data this morning, thought might as well put here what I found.

This year, we’ve had 46 officially announced transactions above the 100m mark. That’s ten more than what we had in the first half of 2025 (36) and roughly half of the 97 for the whole 2025.

Those 46 deals though totalled almost $10b more than last year - $16.3b vs $6.7b. Ten friggin’ billion. Of those 46 deals - 5b+ comes from the following 10 deals:

  • Isomorphic Labs (2b series B)

  • Ineffable Intelligence (1.1b seed)

  • Ami Labs (1b seed)

  • Fractile (220m series B)

  • Olix (220m series A)

  • QuantWare(178 series B)

  • Hynaero (138m seed+A)

  • Coultreon (125m series A)

  • Dash0 (110m series B)

  • Sereact (110m series B)

Cranked three more interesting things for you.

1. Europe is doing roughly one 100m+ early stage deal a month. The total number of 2025+2026 early stage + series A deals is 16. Across 17 months of European VC, math tells that we have roughly one 100m+ early stage deal a month. So much for a black swan event.

Out of those, 9 (56%) are deals done by AI startups - that’s more than half:

  • Ineffable Intelligence - 1.1b seed

  • AMI Labs France - 1b seed

  • Recursive Superintelligence - 650m seed

  • Isomorphic Labs 600m seed + series A

  • Terralayr - 222m Series A

  • Olix - 220m Series A

  • Lovable - 200m Series A

  • General Intuition - 133.7m seed

  • NestAI - 117m - early stage

  • CuspAI - 100m Series A

2. Google rules AI in Europe

That was kind of evident from Isomorphic Labs deal announcement earlier this week, whereas Google threw everything and the kitchen sink at the deal - GV, CapitalG and the mother company Alphabet all contributed to make the numbers work, alongside some strategic governmental funds. No outsiders in the transaction.

Alas all GV, CapitalG and Google have all been in more European deals lately. Here’s the most active VCs in the above 16 deals:

  • GV and Evantic Capital - 3 deals each

  • 20VC, Accel, Creandum, Greycroft, Hummingbird, Lightspeed, Local Globe, NEA, Thrive Capital - 2 deals each

Most active non-VC investors

  • Nvidia - 4 deals

  • tied at 3 deals - Temasek, Sovereign AI and Google

  • tied at 2 deals - Eurazeo, Samsung Catalyst Fund, Inception Fund, Mark Cuban, Peter Sarlin, Victor Riparbelli

3. Most $100M+ rounds in Europe happen at Series B/C. For the same 2025-2026 period, 100m+ Series B + Series C combined = 52 deals (22 AI / 30 non-AI) - that's 3x+ times the 16 above-mentioned early-stage rounds.

  • Series B - 23 deals (9 AI / 14 non-AI)

  • Series C - 29 deals (13 AI / 16 non-AI)

  • the combine is more than a third out of a 143 total universe of 100m+ transactions - 97 last year and 46 this year.

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Also notable

  • SAP is on a roll Have you noticed the Germans have awaken? This month they announced taking equity stakes into both n8n and Parloa and the acquisiton of a German AI lab along two American startups (a data lakehouse platform and an MDM) + earlier this year they also did biz devel with Anthropic, Vercel, Palatir, Msft, Accenture etc. Not bad, huh?

    SAP is Europe’s most valuable tech company, trading at $207b against $41.6b yearly turnover - and looks like they’ve jumped on the transition trend from a read-only system of record to a system that executes. Yup, agents.

  • Nebius on the roll as well Nebius projects 2026 revenue to be in the $3b-$3.4b range, up from $530m in 2025 - fwiw, Q1 was at $399m. Russian carved out from Yandex in 2024, based in Amsterdam and directly competing with US CoreWeave, which did $5.1b last year and this week traded at $60b-ish.


    Fwiw, Nebius has Blackrock, Morgan Stanley and Accel in the captable, as they chipped in to a 700m at 4.5b in 2024.

  • Revolut is considering setting up a private banking business in the UK and selected European markets.

  • Google started aggregating BNPL products and will re-sell Klarna, alongside Affirm in the USA.

  • Softbank made a $25 billion gain on its stake in OpenAI in the first three months of the year.

  • VCs transitioning towards a new paradigm - the King’s Cross edition.

  • the Lake Tahoe's data center problem - data centers are bad for customers, whether industrial or residential, as they drive up prices significantly.

  • remember when having an MBA meant something? Business schools slash MBA tuition by up to 50%.

  • Ben Thompson on the inference shift.

  • dry powder tracker.

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