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Paygentic raises €1.8M to fix AI billing infrastructure

Most AI startups face a stubborn paradox. Their compute costs swing wildly based on usage, but their billing systems force them into fixed monthly fees. London-based Paygentic just raised €1.8M to solve this mismatch with AI billing infrastructure built for outcome-based pricing. The pre-seed round positions the startup to capture a market where AI-native companies now generate over $15 billion in annual revenue.

MiddleGame Ventures led the funding, joined by Anamcara Capital, Aperture Capital, Angel Invest, and Alan Morgan, chairman at Adfisco. The capital will scale Paygentic’s team and accelerate product development to support hybrid billing models that traditional payment systems can’t handle.

Why AI Billing Infrastructure Needs a Complete Rethink

Co-founders Susan O’Neill and Samuel Alarco Cantos built Paygentic after watching AI founders struggle with rigid legacy systems. O’Neill, who previously founded payment infrastructure provider Sulu, saw how inflexible financial tools killed promising innovations. Alarco, a former Google engineer, kept hitting walls with billing platforms that couldn’t support usage-based models.

“Traditional billing solutions break the moment things get complex,” O’Neill explains. “AI founders lack the flexible infrastructure needed to price and monetize their products effectively. Our platform lets AI companies charge for what actually matters and scale as fast as they innovate.”

The timing matters. AI-native businesses generate value dynamically through model inference and API consumption, but most payment systems were designed for static monthly subscriptions. Paygentic’s agent-first stack converts AI actions into billable events, whether that’s prompt execution, outcome success, or usage volume. Early adopter ChaseLabs uses the platform to charge only when its AI sales representatives generate qualified leads.

Building Financial Plumbing for the Agentic Economy

Kanishk Walia, partner at MiddleGame Ventures, frames Paygentic as foundational infrastructure for a new economic model. “AI-native products are redefining how value is created and delivered, yet legacy billing and payments systems can’t keep up,” he says. “Paygentic has built an agent-first stack that makes it possible to monetize usage, outcomes, and hybrid models at scale.”

The platform combines billing, payments, and pricing logic in one system designed for developers. Teams can launch outcome-based, usage-based, or subscription models without building custom infrastructure. This matters in a market where AI companies need to experiment quickly with pricing strategies that reflect their actual value delivery.

Paygentic emerged from stealth in October 2025 after working with select early adopters since early in the year. The startup now opens its platform to any AI-native business, from LLM infrastructure providers to agent frameworks and development tools. With European fintech expertise and a San Francisco presence, Paygentic aims to become what investors call “the financial plumbing for the agentic era.”

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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.

Fundraising 5 days ago

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