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Skycore Semiconductors raises €5M for AI data centre chips

Europe’s data centre infrastructure is experiencing unprecedented strain as AI workloads surge across the continent. From London’s financial district to Amsterdam’s data hubs, operators are grappling with power-hungry processors that struggle to keep pace with demand. Against this backdrop, Skycore Semiconductors has secured €5 million in seed funding to develop next-generation chips specifically designed for AI data centres, positioning itself at the heart of Europe’s digital sovereignty ambitions.

The round was led by Amadeus APEX Technology Fund, with participation from undisclosed co-investors. This marks a significant bet on European semiconductor innovation at a time when the continent seeks to reduce dependence on Asian chip manufacturers and compete with Silicon Valley’s AI infrastructure giants.

AI data centre funding attracts strategic European backing

Amadeus APEX Technology Fund’s decision to lead this round reflects a broader European venture capital thesis around critical infrastructure independence. The fund, known for backing deep-tech companies with strategic value to European enterprises, sees Skycore’s approach as addressing a fundamental gap in the market.

“We’re witnessing a perfect storm in European data centres – exponential AI compute demand colliding with energy efficiency requirements and supply chain vulnerabilities,” explains a spokesperson from Amadeus APEX. “Skycore’s semiconductor design philosophy aligns perfectly with Europe’s need for sovereign, efficient computing infrastructure.”

The timing proves particularly astute as European regulations increasingly favour energy-efficient technologies, while the EU Chips Act allocates €43 billion to boost domestic semiconductor production. Amadeus APEX’s portfolio strategy has consistently focused on companies that can benefit from these regulatory tailwinds whilst competing globally.

Targeting Europe’s fragmented data centre market

Skycore’s product development centers on creating semiconductors optimised specifically for AI workloads running in European data centres. Unlike generic processors, their chips are designed to handle the specific computational patterns of machine learning inference whilst consuming significantly less power – a crucial advantage given Europe’s high energy costs.

The company plans to use the €5 million primarily for expanding its engineering team across European tech hubs and accelerating chip development timelines. With headquarters strategically positioned to access both London’s financial AI applications and continental Europe’s industrial automation markets, Skycore aims to capture demand from multiple verticals simultaneously.

“European data centres face unique challenges – fragmented regulatory environments, diverse application requirements, and sustainability mandates that don’t exist elsewhere,” notes Skycore’s founder. “Our semiconductors are engineered from the ground up to excel in this context, rather than being retrofitted from consumer electronics designs.”

The competitive landscape includes established players like Intel and AMD, alongside emerging European competitors such as SiPearl and Graphcore. However, Skycore’s focus on the intersection of AI processing and European data centre requirements creates a distinct market positioning.

This funding round signals growing investor confidence in European semiconductor startups that can address both local market needs and global expansion opportunities. For Europe’s data centre operators, indigenous chip innovation represents a strategic hedge against supply chain disruptions whilst supporting the continent’s broader technological autonomy objectives.

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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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