Sesame Summit 2026 – application open

Regulating AI Startups @ #SummitAFS

Last week, Allied For Startups (AFS) held their first annual #summitAFS open to the public, giving an insider view into the work that they do to as a pillar in the startup eco-system across five continents: bridging the gap between start-ups and governments by bringing all the relevant voices into one room.

Sat in Brussels alongside representatives from the European Parliament and European Commission alike at the Microsoft Center in Brussels, the event opened the conversation to players from the startup ecosystem across Europe. It was a space where founders and government-level leadership in the startup space could gather to exchange ideas and input on how the European Commission can better support startups in Europe.

This is the founding focus of AFS. With a presence in North and South America, Europe, and Africa, their mission is to serve as a platform that enriches and deepens the support system for startups on a Governmental level. From a keynote talk from the European Commission’s Rudy Aernoudt, it is clear that Europe realizes the deeper value of startups in an economy. As Tobias Henz, a panelist at the event, entrepreneur and Mckinsey partner puts it:

“To the public sector, the aspect of continual job creation and community building around solutions cannot be replaced. To the private sector, the agility and ideation available to startups is a breeding ground for priceless innovation that cannot be overlooked.  However, neither new jobs nor new ideas can flourish from an economy’s startup sector if the environment for these startups is not favorable”

The aim of AFS is to promote a dialogue which advocates for the right conditions needed in the startup eco-system and environment.

The hottest topics at the summit were split across two panel discussions. The conversation included questions like how do we maintain an environement that fosters innovation and supports startups, while in the face of funding pools drying up and a growing list of regulations that can easily limit or hamper the development of startups in the Deeptech and AI community. The selection of panelists was well balanced, with a variety of perspectives in each case, representing the true concerns and interests of the parties actually involved, from founders to parliament.

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The first panel of the day

There was a collective agreement from that great companies cannot emerge from unstable environments. The topic of VC funding and finding availability came up, or rather: the lack thereof. While Europe’s strength in Intellectual Property rests, historically, in inventions and patents from the industrial revolution and onwards: its true that the USA has more funding to offer European startups, a reality that many EU startups are confronting in this post-covid investing climate.

Speculation says there is a greater aversion to risk from Europeans VC’s compared to American ones. Either way, the general consensus communicated by founders was that the most impressive funding options for European startups often don’t come from within Europe, but rather the USA, China, and even Japan. Caroline Louise Lilleor, founder of Sirène, a personal safety device that connects you to a community of Runners, shared how they only began receiving more serious funding once they partnered with a larger and more reputable organization. This was yet another example voiced on the day, illustrating the challenges in the European startup environment.

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Second panel of the day

The second panel talk of the day addressed AI Regulations and how they will impact the startup environment. The panel comprised of four speakers in total. Two speakers with deep insight into the current state of AI regulatory affairs in the USA: Frances Burwell, an advisory expert on the Atlantic Council and Zachary Long, founder of conductor.ai, shared their insigh and opinion on the stae of AI regulatory affairs in the USA. Kai Zenner, Head of Office and Digital Policy Advisor in the European Parliament and Martin Ulbrich, a policy maker also from the Commission, brought equally rich and deep knowledge into the drafting and parliamentary discussions on the Europe’s AI Act.

A common voiced concern on the topic was how discrepancies in such regulatory acts, along with the fact that they are not universal, could hamper international business for startups with the AI-based solutions, especially in the startup space. Failure to meet a long list of information security and data compliance requirements could easily make it difficult for startups to close bigger clients and thereby start not only adding value, but creating higher value business for themselves to go from startup to scaleup. This is a valid concern that AFS insists the Commission takes into consideration.

Various thought leaders in the room shared their insight and opinion, resulting in an afternoon rich with fruitful discussion and detailed explanations. You can catch AFS at their HealthTech congress in January next year.

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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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