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Bronto raises €12M to fix log management for AI era

Logging infrastructure still runs on 2010-era assumptions. Dublin-based Bronto raises €12M in seed funding from Cercano Management, Heavybit, and Conviction Capital to build what it calls the first AI-native log data platform—one that doesn’t force companies to choose between retaining data and controlling costs.

The round positions Bronto as one of Ireland’s few infrastructure companies to secure significant funding in 2025. Founders Noel Ruane and Trevor Parsons aren’t first-time builders—they’ve already exited to Apple and Rapid7, respectively.

Why logging breaks at AI scale

Traditional logging solutions were designed when data volumes were manageable and retention periods measured in weeks, not years. AI systems generate exponentially more log data, yet most companies still discriminate between “hot” and “historic” logs, deleting critical data to avoid astronomical bills.

Bronto’s platform eliminates that tradeoff. Organizations can maintain all log data—regardless of age—at what the company claims is a fraction of current costs. Moreover, the AI-native architecture enables new use cases combining real-time debugging with years of historical data for machine learning models.

“The shift to AI represents the biggest transformation in computing infrastructure requirements ever, but even pre-AI, logging solutions have not kept pace,” said Noel Ruane, Bronto Co-Founder and Co-CEO. Organizations face painful tradeoffs: pay astronomical bills for inadequate retention or delete data needed for debugging, security, and compliance.

Serial founders return with institutional backing

Ruane co-founded Voysis, a voice-AI company acquired by Apple in 2020. Parsons built LogEntries, one of the first cloud-based log management platforms, which Rapid7 acquired in 2015. Their combined team has “150+ years of experience building and operating proprietary log-engines and platforms at global scale,” according to Parsons.

The investor lineup signals confidence in the category. Cercano Management led the round, bringing deep capital markets experience with over $10B in AUM. Heavybit, focused on developer tools and infrastructure, added credibility through investor Joseph Ruscio, who called Bronto’s approach “revolutionary” and a “true disruption in this space.”

Infrastructure funding in Europe has picked up across observability and developer tools. Rerun raised €15.6M for data and telemetry challenges. Cloudsmith secured €21.9M Series B for developer productivity. Bronto joins this cluster at a moment when AI deployment creates urgent infrastructure bottlenecks.

Building the go-to-market engine

Bronto plans to invest the €12M primarily in sales and marketing while continuing to expand its engineering team. The company operates from Dublin with teams on both US coasts, positioning itself as “people-first, location second” for hiring.

The platform already serves mid-market and enterprise customers, though Bronto hasn’t disclosed specific customer names. Its positioning centers on enabling companies to “fully leverage an AI native logging platform while also lowering their existing egregious logging costs,” according to the funding announcement.

Lauren Glatter from Cercano Management believes Bronto is “well-positioned to build a category-defining company in the logging and observability market.” That’s the bet—that logging infrastructure needs to be rebuilt from scratch for the agentic era.

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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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