Sesame Summit 2026 – application open

Meet OpenOcean: From MySQL Roots to Backing Tools That Help Enterprises Adopt AI

Finland is known for putting the younger generation at the forefront of its tech scene, and its iconic Slush conference is run by students. But it doesn’t forget the people who put the country on the startup map, such as seasoned venture capitalist Tom Henriksson.

Now a general partner at pan-European VC firm OpenOcean, Tom has been involved with venture investing and startups since the mid-nineties, with some notable successes.

In particular, he and his current partners played a pivotal role in the creation and growth of MySQL. “And we had an amazing exit in 2008 to Sun Microsystems,” he recalled. The one billion exit “was one of those early European unicorn stories,” and led to the creation of OpenOcean.

With offices in Helsinki and London, the firm has grown its funds incrementally since its early days. “In April we had a first close of our fourth fund, about €100 million, and we’re trying to get to €135 million,” Tom said.

In a conversation recorded during Slush 2024, Tom talked about MySQL and his later involvement with MariaDB and Nokia, but also about his interest in data-intensive software.

While its meaning has evolved in the age of AI, data-intensive software is still a key area of focus for OpenOcean, alongside intelligent enterprise automation and marketing tech (martech).

Where OpenOcean is investing

OpenOcean’s strategy is influenced by the awareness that the foundational layer of AI is being built by companies such as Mistral AI that require large amounts of capital. “With a small fund, you, you can’t go in there,” Tom said.

“What we do see, however, as that innovation is proliferating super quickly, is that enterprises have a huge problem in adopting technologies, in particular AI, also in enterprise automation. So we love solutions that actually help enterprises take them into use.”

One side of this is horizontal. “Be it for instance, something that enables engineers to do the work of data scientists because there’s not enough data scientists, or be it something that enables you to implement technology without disturbing the engineering flow because then the iterations can be quicker.”

The other side is vertical, with applications that focus on use cases within a specific sector. “And you probably have access to unique data because you only work with that vertical,” Tom said, giving the example of Cambri. Backed by OpenOcean, the Finnish startup raised an €8 million Series A last October for its vertical value proposition.

Thanks to product launch data sets in the food and beverage sector, Cambri came up with an AI-enabled consumer insights and platform used by household brands such as Coca-Cola and Heineken that can predict if a new product will be successful.

This is a win-win, Tom said: It “reduces waste in the world because they’re not launching crappy products that nobody wants and put plastic out in the world, but obviously makes also the corporates more profitable and more efficient.”

Examples aside, Tom shared additional context that makes this episode a must-listen if you are hoping to raise funding from OpenOcean, or more generally curious about the Nordics. Spoiler alert, it will also leave you longing for an invite to the legendary poker tournament that the VC firm holds every year during Slush.

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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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