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From VivaTech to Pollen: Julie Ranty’s Journey of Innovation and Education

The Power of Ambition in Scaling VivaTech

Julie Ranty emphasizes the importance of ambition in scaling Viva Technology from its inception. “We were reaching for the stars right from the beginning,” she said, reflecting on the initial goal to make VivaTech a global event. This ambition attracted top-tier speakers, companies, and innovations, helping to establish VivaTech as the largest European Tech event. Starting with 40,000 attendees in 2016, Viva Technology now hosts over 150,000 participants.

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Embracing AI and Internationalization

One of the crucial strategies for VivaTech’s success was making it an international event. Julie highlighted, “Tech is a very global ecosystem,” which necessitated attracting international investors and participants. She also discussed how AI is becoming a driving force in the French Tech ecosystem, thanks to initiatives like Station F and policies from French President Emmanuel Macron. This global and AI-focused approach significantly contributed to VivaTech’s rapid growth.

Transition from Event Management to Founding Pollen

After seven years of leading VivaTech, Julie decided to start her own venture. “I wanted to start my own company and go on the other side of the fence,” she explains. This transition was driven by her passion for education and helping people understand and adapt to the rapidly changing world. Pollen, her new company, focuses on providing live, cohort-based training to ensure impactful learning experiences.

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Importance of Continuous Learning and Soft Skills

Julie underscores the importance of continuous learning, especially in the fast-evolving tech industry. “Skills have a very short lifespan now,” she notes, emphasizing that ongoing education is crucial. Pollen offers courses in both hard skills, like AI and sales methodologies, and essential soft skills. “Empathy, critical thinking, and creativity are crucial to differentiate yourself from machines,” she says, highlighting the increasing relevance of these skills.

Building a B2B-Focused Education Platform

Pollen’s unique approach targets companies, offering them the opportunity to distribute learning credits to their employees as a perk. This B2B model differentiates Pollen from other education platforms. As Julie explains, “we co-create trainings with our partners to match their business goals.” By focusing on the needs of both startups and large corporations, Pollen ensures that its training programs are relevant, actionable, and highly impactful.

Julie’s journey from managing a leading Tech event to founding an innovative education platform showcases her visionary leadership and commitment to continuous learning. As she continues to develop Pollen, it’s clear that her contributions to the tech and education sectors will remain significant.

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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.

Fundraising 5 days ago

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