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Much more than consumer tech, CES means business

There’s no I in team, but there’s B2B in CES. Despite its name once standing for “Consumer Electronics Show,” CES is very much about businesses doing business with each other, both during the event and all year round.

It’s not just about all the networking that happens in Las Vegas between its more than 138,000 attendees, or the fact that cars are also a huge part of the show; B2B companies, too, see value in attending the gigantic fair.

“About 75% of attendees say their business is primarily B2B, or both B2B and B2C. We struggle with the name. Some people call it the Consumer Electronics Show, but it’s just CES. There’s so much there that’s B2B,” said Gary Shapiro, CEO of the Consumer Technology Association (CTA), the parent organization of CES, in a recent interview.

For instance, the French Tech delegation that traveled to Nevada this year includes Kumulus Water, a company that aims to provide hotels, offices and off-grid sites with atmospheric water generators that transform air into drinking water. In other words, a B2B startup. And of course, what’s true of startups is also true of big companies in this regard.

Nvidia in the spotlight

Nvidia is a good example of this; its CEO, Jensen Huang, gave one of the most anticipated keynotes of the event. While the company has a strong presence in consumer tech, particularly in gaming, it’s the rapid growth of its B2B segments, particularly in data centers and AI, that made it a market darling. But it’s not just one or the other; “Nvidia is pioneering breakthroughs in AI and accelerated computing that touch nearly every person and every business,” Shapiro highlighted when introducing the keynote.

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In the Q&A session that followed his presentation on CES Tech Trends during the FDDay 2024 last June, CTA’s futurist, Brian Comiskey, had mentioned that both robotics and AI had a role to play in automating logistics. As the sector faces a productivity gap, “there’s usually going to be a robotic [or otherwise] automated process that can help work alongside human workers,” he predicted. Mega, a fleet manager for warehouse robots that Nvidia detailed during CES 2025, fits right into that trend, and has already been adopted by German supply chain firm, Kion Group.

It’s to cover these kind of announcements that more than 5,000 journalists attended CES last year. Whether they are talking to the media, other businesses or consumers, CES participants are in for a busy schedule. “The statistic we’ve used before is that the average attendee has about 29 meetings during the show,” Shapiro told VentureBeat.

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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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