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Delvitech raises €34.5 M in AI inspection tech Series B round

European manufacturers are increasingly turning to AI-powered quality control as labour shortages and precision demands reshape factory floors. The latest beneficiary of this trend is Delvitech, which has secured €34.5 M in Series B funding to scale its optical inspection technology across industrial sectors.

The round was led by EGS Beteiligungen, marking the German investment firm’s continued focus on deep-tech solutions addressing European manufacturing challenges. The funding will accelerate Delvitech’s expansion into automotive and electronics manufacturing, where microscopic defect detection can prevent costly recalls and production delays.

AI inspection tech Series B signals manufacturing automation shift

EGS Beteiligungen’s investment thesis centres on Delvitech’s ability to replace traditional quality control methods with machine learning algorithms that improve accuracy whilst reducing inspection times by up to 80%. The lead investor brings extensive experience from previous manufacturing tech investments, including portfolio companies that have successfully scaled across fragmented European markets.

“Traditional optical inspection relies heavily on human operators and fixed parameters, creating bottlenecks in modern production lines,” explained Delvitech’s leadership team in the announcement. “Our AI-driven approach adapts to new defect patterns in real-time, providing manufacturers with the flexibility needed for today’s complex supply chains.”

The Series B funding positions Delvitech alongside European competitors like Cognex and Omron, though the company’s focus on AI-native solutions differentiates its approach from legacy inspection systems. The investment also reflects growing confidence in European deep-tech startups, particularly those addressing Industry 4.0 transformation.

European manufacturing faces quality control revolution

Delvitech’s technology addresses critical pain points in European manufacturing, where strict quality standards and regulatory compliance create significant operational overhead. The company’s optical inspection systems integrate seamlessly with existing production lines, reducing implementation barriers that often plague industrial automation projects.

The funding will support expansion into key European automotive hubs, including Germany’s automotive corridor and Northern Italy’s precision manufacturing clusters. This geographic strategy leverages Europe’s established industrial base whilst positioning for growth in emerging sectors like electric vehicle battery production.

Market dynamics favour Delvitech’s timing, as European manufacturers face mounting pressure to automate quality processes ahead of stricter environmental and safety regulations. The company’s ability to provide detailed audit trails and predictive maintenance insights aligns perfectly with upcoming EU industrial data requirements.

This Series B round demonstrates that European deep-tech companies can secure substantial growth capital for industrial applications, signalling maturity in the continent’s manufacturing technology ecosystem. For EGS Beteiligungen, the investment reinforces their position as a leading backer of European industrial innovation.

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London-based AI laboratory Ineffable Intelligence has emerged from stealth with a $1.1 billion seed round at a $5.1 billion post-money valuation, the company confirmed on 27 April 2026. The financing is the largest seed round ever raised by a European company and one of the largest first-money-in rounds in the global history of artificial intelligence. The round was co-led by Sequoia Capital and Lightspeed Venture Partners. Participating investors included Nvidia, DST Global, Index Ventures, Google, and the UK Sovereign AI Fund, the British government’s recently established vehicle for backing strategic AI capacity on home soil. A bet on a different path to general intelligence Ineffable Intelligence was founded in 2025 by David Silver, the former Vice President of Reinforcement Learning at Google DeepMind and the principal architect of AlphaGo, AlphaZero and AlphaStar. He is joined by three further DeepMind alumni: Wojciech Czarnecki, Lasse Espeholt and Junhyuk Oh. All four have spent the past decade at the frontier of reinforcement learning research, the discipline behind some of the most consequential demonstrations of machine learning over the past ten years. The company describes its objective as building a “superlearner” — an AI system capable of acquiring knowledge directly from its own experience rather than from human-generated text or imagery. “Our mission is to make first contact with superintelligence,” Silver said in a statement accompanying the launch. “We are creating a superlearner that discovers all knowledge from its own experience, from elementary motor skills through to profound intellectual breakthroughs.” The framing is a deliberate departure from the dominant industry trajectory. Most leading AI laboratories, including OpenAI, Anthropic and Google DeepMind itself, have built large language models trained primarily on the corpus of the internet, then refined that training with human feedback. Ineffable’s wager is that the marginal returns on scaling text-based pretraining are diminishing and that the next leap in capability will come from agents that learn endlessly from the consequences of their own actions, in much the same way AlphaZero learnt the game of Go without studying any human matches. Why $1.1 billion at seed The size of the round is unusual even by the inflated standards of the 2026 AI capital cycle. Two factors appear to explain it. First, frontier reinforcement learning at the scale Ineffable describes is computationally extraordinarily expensive: the company will need to operate vast simulation environments and train very large models against them, an undertaking that consumes capital at a rate closer to physical R&D than to traditional software. Second, the round signals a strategic move by Europe’s investor and policy ecosystems to retain the most ambitious AI researchers on the continent. The presence of the UK Sovereign AI Fund alongside Sequoia, Lightspeed and Nvidia is the clearest expression of that intent. The British government has publicly framed the investment as a bet on breakthrough AI that “can discover new knowledge”, positioning the country as a willing co-investor in domestic frontier laboratories. For Ineffable, the implication is access not only to capital but to compute, regulatory engagement and the still-resilient academic talent base around UCL, Oxford, Cambridge and Imperial. Founder pledge of historic scale Alongside the funding announcement, Silver disclosed that he is committing 100 per cent of any personal proceeds from his Ineffable equity to charity via the Founders Pledge network — described by the organisation as the largest pledge in its history. At the round’s $5.1 billion valuation, that commitment could ultimately exceed several billion dollars if the company succeeds. It is a meaningful gesture in a sector where the reputational stakes around concentrated AI wealth are escalating, and one likely to be referenced in subsequent founder-led commitments. Implications for the European AI landscape Ineffable’s emergence reshapes the European AI map in three concrete ways. It establishes London as the home of the continent’s largest-ever seed-stage company, complicating Paris’s recent narrative of frontier-AI primacy after Mistral’s earlier rounds. It validates a thesis — that reinforcement learning, not transformer scaling, is the next frontier — that has lately been losing capital share to language-model incumbents. And it confirms that the UK government is now willing to act as a balance-sheet co-investor in domestic AI laboratories, a posture much closer to the French model than to the predominantly grant-based regimes elsewhere in Europe. The execution risk is non-trivial. 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