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Empowering Developers: Edgee secures $2.9M for it’s Open Source Edge Computing

Edgee, an innovative platform specializing in open-source edge computing, recently secured $2.9 million in funding. This investment will help Edgee tackle modern data processing challenges and provide developers with powerful new tools to build fast and scalable applications.

Edge Computing Moves Data Processing Closer to the User

Edgee is built around edge computing, a method that moves data processing to the “edge” of the network, closer to the end-user. This reduces latency and boosts performance, making applications run faster.

As co-founder Sacha Morard explains, “We’re offering developers a full suite of edge services, from AI to cybersecurity, in an open ecosystem designed for speed and scalability.” By allowing developers to process data closer to the source, Edgee is surely revolutionizing the traditional approach to data handling.

Tackling the Data Collection Dilemma: “The Big Lie”

One of the main problems Edgee addresses is what the team calls “The Big Lie.” Traditional data collection methods lose 25% of users and 30% of data volume due to ad blockers, privacy regulations, and performance issues. Edgee’s solution brings data processing to the edge of the network, ensuring complete and reliable data collection. “Our platform guarantees that companies collect all the data they need, while maintaining performance and complying with user consent laws,” says Gilles Raymond, co-founder of Edgee.

Open Source Edge Computing Solutions for Developers

At its core, Edgee provides developers with an even more revolutionary way to collect data using open-source technology. Their platform offers customizable WebAssembly components, which developers can modify to suit their specific project needs.

“We’re lowering the barrier to entry for developers,” says Sacha, “allowing them to build faster, more responsive applications without compromising on performance or compliance.” With a focus on flexibility, the open-source nature of Edgee empowers developers to innovate more freely.

open source edge computing
📸: Edgee

Serverless Architecture for Seamless Integration

Edgee also features a serverless architecture that simplifies deployment, making it easier for companies to adopt and scale their platform. By offering a serverless option, Edgee ensures that businesses can quickly implement their solutions without extensive infrastructure needs. This approach allows companies to focus on innovation rather than on managing complex servers.

Future of Open Source Edge Computing

With the $2.9 million in funding, Edgee is undoubtedly well-positioned to expand its platform and continue innovating in edge computing. The company plans to grow its suite of services, including AI-driven analytics and cybersecurity tools, all powered by its open-source ecosystem. “This is just the beginning,” also says Sacha. “We’re committed to building a transparent, collaborative ecosystem that drives innovation in edge computing and beyond.”

Edgee is not only providing developers with the tools they need to solve today’s data challenges but is also setting the stage for the future of edge computing. With its focus on performance, privacy, and scalability, Edgee is poised to become a key player in the tech landscape.

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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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