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Mu-raytech raises €325K to commercialise muon beam imaging

While European deep tech startups continue to push the boundaries of scientific innovation, few venture into territories as esoteric as particle physics applications. The latest to emerge from this rarified space is Mu-raytech, which has closed a €325,000 investment round to bring muon beam imaging technology from laboratory curiosity to commercial reality.

The funding round was led by Nordic Science Investments, a specialist fund known for backing early-stage scientific ventures across Scandinavia. This marks Nordic Science’s third investment in advanced imaging technologies this year, following their thesis that next-generation non-invasive imaging will reshape multiple industries from healthcare diagnostics to infrastructure monitoring.

“We’ve been tracking developments in muon tomography for several years, waiting for the right team to emerge with a commercially viable approach,” explains Nordic Science partner Dr. Lars Andersen. “Mu-raytech’s founders have cracked the code on making this technology both portable and cost-effective, which opens up applications we’ve only theorised about until now.”

Muon imaging funding targets European infrastructure markets

Muon beam imaging represents a significant leap beyond traditional X-ray and CT scanning technologies. By harnessing naturally occurring cosmic ray muons—particles that can penetrate dense materials like lead and steel—the technology enables non-invasive imaging of large structures including nuclear facilities, cargo containers, and underground infrastructure. This capability positions Mu-raytech uniquely within Europe’s growing emphasis on infrastructure resilience and security.

The company’s approach addresses a critical gap in the European market, where aging infrastructure requires sophisticated monitoring solutions. Unlike competitors developing similar technologies in Japan and the United States, Mu-raytech has designed their systems specifically for the regulatory and operational requirements of European markets, including compliance with EU radiation safety standards and integration with existing inspection protocols.

“European infrastructure owners face unique challenges that our technology directly addresses,” notes Mu-raytech CEO and co-founder Dr. Elena Marchetti. “We’re not just building better imaging—we’re building European solutions for European problems, from tunnel monitoring in the Alps to port security in Rotterdam.”

Scientific innovation meets commercial pragmatism

Founded by a team of particle physicists from CERN and leading European universities, Mu-raytech has spent three years in stealth mode developing proprietary detector arrays and machine learning algorithms that dramatically reduce imaging times from days to hours. This breakthrough makes muon imaging commercially viable for the first time, opening markets previously served only by invasive inspection methods.

The €325,000 will primarily fund the development of their first commercial prototype and initial regulatory approvals across EU member states. The company is targeting deployment with European infrastructure operators by late 2025, with initial focus on railway tunnel monitoring and shipping container inspection—two sectors where European operators have explicitly requested next-generation non-invasive solutions.

Beyond the lead investment from Nordic Science Investments, the round includes participation from several industry-focused angels with deep networks in European logistics and infrastructure sectors. This strategic investor base provides Mu-raytech with direct access to potential customers and regulatory expertise crucial for navigating the complex approval processes across different European markets.

For European deep tech, Mu-raytech’s emergence signals a maturing ecosystem where even the most fundamental scientific breakthroughs can find commercial pathways. As the EU continues prioritising technological sovereignty and infrastructure resilience, startups bridging advanced science with practical applications are increasingly finding both funding and market opportunity within European borders.

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Fundraising 4 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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