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Forgis raises €3.8M for manufacturing automation

As European manufacturers grapple with Asia’s industrial dominance, a new wave of automation startups is emerging to level the playing field. Swiss-based Forgis has secured €3.8 million in pre-seed funding to bring AI-powered automation to industrial machines, positioning Europe’s manufacturing sector for a competitive resurgence.

The funding round was led by redalpine, the Zurich-based venture capital firm known for backing enterprise software companies across Europe. The investment signals growing confidence in Europe’s ability to compete with Asian manufacturing giants through technological innovation rather than cost reduction alone.

Manufacturing automation attracts European venture capital

redalpine’s investment thesis centres on Europe’s unique manufacturing heritage combined with cutting-edge AI capabilities. The Swiss VC firm has increasingly focused on industrial technology startups that can help European manufacturers maintain their competitive edge through automation rather than outsourcing.

“European manufacturers have unparalleled expertise and quality standards, but they need technological tools to compete with Asia’s scale advantages,” explains a redalpine partner familiar with the deal. This investment represents the firm’s broader strategy of backing European industrial innovation that addresses global competitive pressures.

The timing proves particularly relevant as European Union policymakers push for industrial sovereignty and reshoring initiatives. Recent EU legislation encouraging domestic manufacturing creates tailwinds for companies like Forgis that can make European production more cost-effective through automation.

Swiss startup targets fragmented European industrial market

Forgis has developed AI-powered solutions that can retrofit existing industrial machines with smart automation capabilities, avoiding the massive capital expenditure typically required for factory modernisation. This approach proves especially attractive to Europe’s predominantly medium-sized manufacturers who cannot afford complete production line overhauls.

The Swiss startup plans to use the funding primarily for European market expansion, recognising that success requires navigating the continent’s fragmented regulatory landscape. Different safety standards, certification requirements, and industrial practices across EU member states create both challenges and opportunities for manufacturing technology providers.

“We’re building bridges between traditional European manufacturing excellence and modern AI capabilities,” notes the Forgis founding team. The company’s approach focuses on enhancing rather than replacing human expertise, aligning with European values around skilled labour preservation.

Unlike Silicon Valley automation startups that often advocate for complete human replacement, Forgis positions its technology as augmenting European manufacturing workers’ capabilities. This human-centric approach resonates with European industrial culture and regulatory frameworks that prioritise worker protection.

The €3.8 million investment positions Forgis among a growing cohort of European manufacturing technology startups attracting significant venture capital. As Asia continues expanding its manufacturing dominance, European investors increasingly recognise that technological innovation represents the continent’s most viable competitive response.

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Fundraising 3 hours ago

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. Reinforcement learning at frontier scale has historically required years of careful environment design before producing competitive systems, and Ineffable’s “first contact” framing sets a high bar against which it will be judged. But for now, with a billion dollars on the balance sheet, four of the discipline’s most accomplished researchers in the founding team and a sovereign co-investor at its back, Ineffable Intelligence is the most heavily resourced new entrant in the European AI cycle. Sesamers covers European fundraising rounds across deeptech, fintech and AI. Source: tech.eu.

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