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Startups innovating for safer roads: IMPACT challenge winners revealed at VivaTech 2025

Yannick Alléno made his name as a world-renowned chef with multiple Michelin-starred restaurants. But since the tragic death of his 24-year-old son Antoine in a traffic accident caused by a reckless driver, he has dedicated significant time and energy to road safety advocacy.

Association Antoine Alléno (AAA), the non-profit he co-founded in memory of his too-soon-departed son, is active on many fronts: supporting grieving families, raising awareness, and bringing together all relevant parties to prevent the loss of young lives to road violence.

In a recent episode of the Selected podcast recorded at VivaTech 2025, Alléno explained that AAA is involving all kinds of stakeholders of its efforts — not just public decision makers, but also big companies, artists, and startups. That is also what brought him to VivaTech, where AAA enlisted Havas Events to showcase the association’s IMPACT initiative, with support from partners including the Renault Foundation.

Complete with its own pavillion and a series of talks featuring big companies, insurers, and other key stakeholders, IMPACT raised awareness among this year’s 180,000 attendees of risk factors such as distracted driving, excessive speed and substance use. But with the goal of fostering innovation to reduce these risks, the pavilion also showcased innovative projects in that direction, often developed in collaboration with major companies, as well as the finalists from the call for startups it launched during the 2024 edition of VivaTech.

Five winners, more to know

After receiving more than 120 applications from 42 countries, the IMPACT Start-up Challenge shortlisted some great teams, all of which got a chance to present their projects at VivaTech. But among them, it also picked five winners who shared €50,000 in prizes.

The winner in the Accident Prevention category was Liberty Rider, whose popular app automatically detects motorcyclists’ falls and immediately alerts emergency services. With support from insurers, the startup is now working on leveraging data to warn riders of dangers such as slippery roads.

There was also a jury’s pick in that category: Konboi, which aims to make the roads safer with an AI-enabled cruise control called Hypermile. The runner-ups were Israeli startup Ride Vision, Consenz from Sweden, Italian company Easyrain, and Bilbao-based Asimob; as well as Linkbycar and WISP Solutions out of France.

Two startups made the shortlist the category dedicated to reducing the impact of accidents: BANF, a Korean startup whose technology monitors tire pressure and more; and winner D’un Seul Geste, a startup applying VR to teach first aid all across France, which is aiming for 80% of the French population to be trained in life-saving gestures by 2027.

Among startups focused on encouraging responsible driving, the winner was ETHYLOWHEEL, which develops a device for measuring blood alcohol levels through the skin. But the jury also made an extra pick: CorrActions, whose neuro-monitoring system detects signs of distracted or impaired driving. The category also featured Artificient, Driven Telematics, and MWheel Mobility.

Prize money aside, the five winners will receive support from AAA and its partners to accelerate the deployment of their innovative solutions. That is also why the challenge had as one of its criteria that the finalists should have solutions that could be applied on a large scale. To make this happen, the winners will also get onto a fast track to Moove Lab, a mobility-focused accelerator inside Station F.

Given that some of these winning teams are already quite advanced, we expect to hear more from them soon with real progress on road safety. For the runner-ups, the exposure and connections they gained at VivaTech could give their projects the boostthey need to come back next year with real momentum, showing how far they’ve come and the difference they’re starting to make.

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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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