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Immaterial raises €15.4M for MOF decarbonisation tech

Industrial decarbonisation has moved from regulatory compliance to competitive advantage across Europe, with the EU’s Carbon Border Adjustment Mechanism creating unprecedented demand for breakthrough technologies. Cambridge-based Immaterial has secured €15.4 million in Series A2 funding to commercialise its monolithic metal-organic framework (MOF) systems, positioning the startup at the forefront of Europe’s green industrial transformation.

The round was led by SLB, the oilfield services giant pivoting towards energy transition technologies, with participation from existing investors. This backing represents more than capital—it provides Immaterial with direct access to industrial customers and deployment channels across SLB’s global energy infrastructure network.

Industrial decarbonisation funding attracts energy sector veterans

SLB’s leadership of this round signals a strategic shift within traditional energy companies towards tangible decarbonisation solutions. Unlike venture investors betting on potential, SLB brings immediate market validation and customer relationships that can accelerate Immaterial’s path to commercial scale. The company’s monolithic MOF technology addresses a critical bottleneck in industrial carbon capture—existing systems suffer from powder handling issues and limited durability.

“Our partnership with Immaterial aligns with our strategy to develop breakthrough technologies that enable the energy transition,” noted SLB’s corporate development team. The energy services company has increasingly focused its venture activities on technologies that can be rapidly deployed within its existing customer base, particularly in hard-to-abate industrial sectors.

European investors have deployed over €2.8 billion into climate tech startups in 2024, with industrial decarbonisation representing the fastest-growing subsegment. Immaterial’s approach differentiates through manufacturing scalability—their structured MOF systems can be produced using established industrial processes rather than requiring entirely new production infrastructure.

Monolithic MOF systems target European manufacturing sector

Immaterial’s technology addresses specific challenges within European manufacturing, where fragmented supply chains and diverse regulatory requirements demand flexible carbon capture solutions. Their monolithic approach eliminates powder handling complications while delivering superior performance in real industrial environments. The funding will accelerate pilot deployments across cement, steel, and chemical production facilities.

“European manufacturers need carbon capture systems that integrate seamlessly with existing operations,” explained Immaterial’s leadership team. “Our monolithic MOF technology delivers the reliability and efficiency required for continuous industrial processes.” The company has already demonstrated promising results in pilot installations, with commercial deployments planned throughout 2025.

The timing proves advantageous as European manufacturers face increasing pressure from both regulatory requirements and customer demands for lower-carbon products. Recent policy developments have strengthened incentives for industrial decarbonisation technologies, creating a more favourable market environment for solutions like Immaterial’s systems.

This funding positions Immaterial to capitalise on Europe’s industrial transformation whilst establishing a foundation for global expansion. SLB’s backing provides not just financial resources but strategic partnerships that could define the next phase of industrial decarbonisation technology deployment.

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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. 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