Sesame Summit 2026 – application open

Insights from Intelligent Health AI 2023

Hosted by InspiredMinds!, the annual conference-like event is the place to be for an international community of healthcare practitioners, data scientists, entrepreneurs, and thought leaders seeking to push the frontier of AI and its application in medicine, both public and private. As someone with literally zero background in medicine or medical-engineering… I. Was. Fascinated.

Registration opened early, and I had a chance to watch the ambience of the event build from the beginning. Before the opening of the event, two large screens, each aside the main stage, played a short film on repeat. Cyberpunk in style, the film showcased scenes reminiscent of the Neo-Seoul found in Cloud Atlas: footage with an undertone of a dystopian future in which giant holograms of dancers pass through low-lit streets littered with robots and humans alike, accentuated by the neon lights of vendors.

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Accompanied by ominous music and a low-lit conference room, I couldn’t help but feel like the setting in some way was an intentional reflection of our global positioning as we sit now on the other side of a technological frontier: generative AI is here, and this is only the beginning. The uncertainty of our future was palpable in the air.

Ten minutes before the opening, and a friendly AI voice punctuated the air to remind the audience of the schedule for the day. Kicking off the event with an epic introduction video, Sarah Porter, founder & CEO of InspiredMinds!, opened the summit on both days with a strong reminder of the sense of community that the event has fostered, something that other speakers referenced too. With ample networking opportunities in the program, the Intelligent Health Summit certainly seems like an entry point into this community.

I was particularly impressed by one of the first keynote speakers, Mona Flores, Global Head of Medical AI at NVIDIA. With a background as a heart surgeon, Flores offered an incredibly balanced perspective in her headline talk on the emerging use cases of AI technologies in healthcare. Flores underscored the potential of this technology in the development of new medications and understanding their effects on the human body, as well as the potential of synthetic data as a solution in such a sensitive-data domain. Astute, but ever a surgeon at heart, she left the audience with pearls of wisdom, one of my favorite being  “AI is like a knife, it is sharp but it is not the enemy”.

A second headline speaker, exemplary of this community, was Professor Shafi Ahmed. His headliner talk explored the practical applications of AI in the surgery room: from surgical navigation and extended reality to robots and 5G remote autonomous surgery. A true futurist at heart, Professor Shafi also has his very own medical facility in the Metaverse, where he consults patients. Listening to and witnessing footage of the innovation in the medical domain was truly eye-opening to the possibilities of the future of medicine.

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Professor Shafi Ahmed on stage.

Alongside the excellent speakers, the event had a strong series of panel discussions with respected thought leaders from around the world, developed in various fields of medicine or data science. A datanaught at heart, I was most impressed by the panel discussion on Examining the latest regulatory challenges and how to navigate them in order to bring AI solutions to market and ensure appropriate monitoring post-implementation.

Regulation around GenAI as been a hot topic for months, even at Vivatech in Paris earlier this year, and there seems to be no ambiguity as to how far regulations go. Contrasting this, an audience member posed a brilliant question to the panel: where is it that we should regulate more? Where is there a clear lack of regulation in this space?

Brenna Loufek, SaMD Regulatory Affairs Lead from the Mayo Clinic, responded to this question with a statement that left the biggest impression on me from the whole conference: “I think there is a gap in regulations which address health equity and systemic bias”. It is well known that unrepresentative data sets pose real dangers in the applications of AI technologies. Brenna continued to circle back to this point throughout the panel, hopefully heightening everyone’s sensitivity to this urgent issue in the developing field.

Aside from the noteworthy speakers and two energetic MC’s narrating the event, there was a variety of workshops to attend with topics such as Demystifying Generative AI – Shape use cases where generative AI adds real value to the Health Sector. Public healthcare administration was also a large topic at the event, with sessions addressing the AI4HealthyCities initiatives by the Novartis Foundation.

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Startup booth for Kemtai

A small selection of startups exhibiting their innovations, such as: Visium and Unit8 in the data science space, Kemtai with motion tracking technology for physio therapy, My Blue Label to fast track regulatory compliance, Smitch with health tracking, Encord for building genAI systems, and a few more.

Lastly, the summit also had a dedicated stage for African startups to pitch their healthcare innovations to investors and an international audience, such as Lifesten health tracking, data sharing for practitioners with Medtech Africa, secure medical chats offered through Vulamobile, and Clue 3 for patient monitoring systems, among others.

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Fundraising 5 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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