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Falkin raises €1.8M in fintech security funding round

As artificial intelligence transforms the financial services landscape, cybercriminals are exploiting these same technologies to orchestrate increasingly sophisticated scams against banking customers. This evolving threat has created a pressing need for advanced security solutions tailored to the European financial sector’s unique regulatory environment.

Falkin, a London-based fintech security startup, has secured €1.8M ($2M) in seed funding led by TriplePoint Ventures to develop AI-powered fraud prevention tools specifically designed to protect European bank customers from next-generation scam attacks. The round positions Falkin at the forefront of a rapidly evolving cybersecurity market where traditional rule-based systems are proving inadequate against AI-enhanced threats.

TriplePoint Ventures backs fintech security innovation

TriplePoint Ventures’ investment in Falkin reflects the venture firm’s strategic focus on infrastructure technologies that address critical pain points in financial services. The Silicon Valley-based investor has built a reputation for backing companies that provide essential plumbing for the digital economy, making Falkin’s anti-fraud platform a natural fit for their portfolio thesis.

“The sophistication of AI-powered scams has reached a tipping point where traditional fraud detection methods are no longer sufficient,” said a TriplePoint Ventures partner. “Falkin’s approach to real-time threat detection using machine learning represents the next evolution in financial security technology.”

The investment comes at a time when European banks face mounting pressure from regulators to enhance customer protection measures, particularly around digital fraud prevention. The EU’s revised Payment Services Directive (PSD2) and upcoming AI Act create both compliance challenges and market opportunities for specialised security providers like Falkin.

European banks embrace AI-driven fraud prevention

Falkin’s platform utilises advanced machine learning algorithms to analyse transaction patterns, customer behaviour, and communication channels in real-time, identifying potential scam attempts before they can cause financial damage. The company’s European focus allows it to navigate the continent’s complex regulatory landscape while addressing the specific fraud vectors targeting UK and EU banking customers.

“We’re seeing a fundamental shift in how fraudsters operate, with AI enabling them to create highly personalised and convincing scam campaigns at scale,” explained Falkin’s CEO. “Our platform is built specifically for the European market, where banks need solutions that balance robust security with strict data protection requirements.”

The startup plans to use the funding to accelerate product development and expand its commercial partnerships with tier-one European banks. Falkin’s go-to-market strategy focuses initially on the UK market before expanding across the EU, leveraging existing relationships with financial institutions seeking advanced fraud prevention capabilities.

This funding round signals growing investor confidence in European fintech security solutions, particularly those addressing the intersection of AI, fraud prevention, and regulatory compliance. As cybercriminals continue to weaponise artificial intelligence, startups like Falkin are positioned to become critical infrastructure providers for the European banking sector’s digital transformation.

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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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