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Slush 100 winner OASYS NOW is on a mission to connect patients to better treatments

Dutch healthtech startup OASYS NOW won this year’s Slush 100 startup competition in Helsinki with the promise to make personalized health care accessible to everyone.

In the final run, OASYS NOW competed with two other shortlisted companies: DevAlly, an accessibility startup, and Mohana, a platform that helps women navigate perimenopause. The three teams shared a focus on human impact, with compelling pitches that also touched on their backstory —  in OASYS NOW’s case, a very personal one.

An oasis within healthcare

Pitching on the Founder Stage during the finals, Iranian-born entrepreneur and self-described computer nerd Nima Salami told the jury how the startup was inspired by his mom, a chronic and rare disease patient whose doctors didn’t have enough time to look for clinical trials for her constantly. Meanwhile, his now co-founder Sara Okhuijsen struggled to find patients that would fit the criteria of her research projects.

While OASYS NOW’s impact for patients is undeniable, it is on the research and pharmaceutical side that its business case lies. According to Salami, 85% of clinical trials are canceled or delayed because of patient recruitment problems, costing pharma companies and hospital trial sites tremendous amounts of money.

Recruiting patients faster requires addressing the fact that most clinical data is unstructured; but unlocking this needs to be done in a privacy-preserving manner. “This is the most sensitive data that we have, so you can’t just simply build an OpenAI wrapper,” Salami cautioned. He and Okhuijsen envision OASYS NOW as a cybersecurity firm — but one that will make personalized medicine a reality.

Putting money to good use

For OASYS NOW, just like for its 2023 predecessor Faircado, winning Slush’s annual competition comes with a big prize: €1 million in equity from investment firms Cherry Ventures and General Catalyst. That’s no spare change, especially considering that only startups that raised less than €2 million in equity fundraising could apply.

It certainly helped that Salami knew how to put the capital to good use. When one jury member asked him what he would do with €1 million, he shot back his response without hesitation: He knew exactly who to hire, both on the technical side and on the clinical side, with a range of advisors that the startup hadn’t been able to afford yet.

There’s more to OASYS NOW’s journey than hiring. The startup also plans to onboard 150 trial sites from hospitals that can benefit from its ability to speed up patient recruitment, he told Sesamers. Find out more about the startup’s vision and plans in this video interview:

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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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