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Earlybird is a venture capital investor focused on European technology companies 🚀 #venturecapital #vc #startup #digitaleconomy

Europe
Joined June 2009
Photo by Earlybird VC (@EarlybirdVC)Photo by Earlybird VC (@EarlybirdVC)Photo by Earlybird VC (@EarlybirdVC)Photo by Earlybird VC (@EarlybirdVC)Photo by Earlybird VC (@EarlybirdVC)Photo by Earlybird VC (@EarlybirdVC)Photo by Earlybird VC (@EarlybirdVC)Photo by Earlybird VC (@EarlybirdVC)Photo by Earlybird VC (@EarlybirdVC)Photo by Earlybird VC (@EarlybirdVC)
€10tn sits in German private capital. Almost none of it flows to long-term startup growth. Investors still call venture too risky, too hard to regulate, and weaker than buyout. Earlybird & 23 other VCs published the data that busts all three myths. Recap from the GVGF Forum 👇
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From scientific discovery and spatial AI to tech sovereignty and scaling European companies. At our AGM 2026 in London, founders and industry leaders explored the opportunities and challenges shaping European tech. Ahead of the main program, our portfolio founders joined our Catalysts for a dedicated Founder's Day focused on building strong teams and ambitious companies. More from the day in our latest Perspectives recap: go.earlybird.com/8xqrVgM8rT
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Clinical trial data review is getting smarter. Our portfolio company Rivia has launched Data Findings, an AI-powered module that automates data checks and helps clinical teams identify and resolve issues faster. With Scancell as its first adopter, Rivia is accelerating clinical development. Congratulations to Erik Scalfaro and the entire Rivia team! Read more details below.
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From roundtables to a full-day Summit. The first Gradient Descending Summit at Beaverbrook explored the questions shaping AI, from infrastructure and GTM to brand and pricing. A first glimpse of the conversations below. Full film coming soon!
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The first-ever Gradient Descending Summit has begun at Beaverbrook. After a year of Gradient Descending roundtables, today expands the series into a deeper discussion on where AI is heading, and what it takes to build enduring companies as the technology continues to evolve. @AndreRetterath, General Partner at Earlybird, opened the day by welcoming our guests and setting the scene for the conversations ahead, while also recognising the partners supporting this year’s Summit. More from the Summit throughout the day. Cc: @stripe, @NotionHQ, @deel, @HSBCInnovation
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Can individual customer needs actually scale? Anjor Kanekar, Kevin Hillier, and Boaz Francis took on that tension in a discussion on forward deployed engineering, from deeply tailored customer implementations to repeatable software. The conversation explored where customization creates valuable product insight, when it starts to limit scalability, and how teams can turn hands-on customer work into something that compounds across the product.
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AI is changing the economics of software, and pricing models will have to evolve with it. In his keynote, Mayank Pant (@stripe) explored one of the biggest challenges facing AI companies: monetization. While AI companies are reaching revenue milestones three times faster than traditional SaaS companies, unpredictable compute costs, margin pressures, and rapidly evolving products are making pricing increasingly complex. To address these challenges, he introduced a five-step pricing framework: define the value your product delivers, select a charge metric that reflects that value, choose the right pricing model, introduce safeguards for customers, and continuously adapt pricing as the product evolves. Together, these steps reinforce the idea that pricing should be treated as an evolving part of the product, with flexible infrastructure that allows companies to test, learn, and scale sustainably. And with that, our stage programme from the first ever GD Summit comes to a close. Thank you to everyone who shared their perspectives and made today's conversations so engaging. We'll be sharing more highlights and takeaways from the Summit soon!
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From AI agent security and AI-driven sales to industrial robotics and inference economics. October's Gradient Descending sessions took us to Turin, Berlin, Zurich, and London to explore what it takes to make technology work at scale. Our latest Perspectives recap: go.earlybird.com/zNYeuth8Wc
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Go team @obligatecom!
oTFY is now live on @Morpho Investors can use trade finance yield as collateral for liquidity, while keeping exposure to real commodity shipments. Built with @TradeflowM (financing), @redstone_defi (pricing) & @RockawayX (risk).
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Earlybird VC retweeted
oTFY is now live on @Morpho Investors can use trade finance yield as collateral for liquidity, while keeping exposure to real commodity shipments. Built with @TradeflowM (financing), @redstone_defi (pricing) & @RockawayX (risk).
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Earlybird VC retweeted
A couple of weeks ago we hosted @FactoryAI for a roundtable on the future of software engineering. One of the most impressive features Factory has is it's Missions offering - up to 22 days (!) of long-horizon coding agents working on large codebase refactoring as one example. I asked Dmytro about Missions and their harness.
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AI for VC Fund Operations, put to work. Three days in Berlin with real fund-ops challenges. Teams working across reporting, deal flow, portfolio monitoring and institutional knowledge with workshops, build sprints and plenty of comparing notes along the way. Thank you to everyone who participated and to our partners!
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Europe needs to try more AI in its factories. In our latest Founder Spotlight, Siddharth Khullar, founder & CEO of @ArisMachina, joined us to talk about industrial AI, getting customers on board, and hiring people for hard problems. A look inside the conversation with @sidk_
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