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

Dublin-based Bronto secures €12M from Cercano Management, Heavybit, and Conviction Capital to build AI-native log data platform that eliminates costly tradeoffs in data retention.

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Bronto AI-native log management platform dashboard showing real-time log data processing and analysis for enterprise infrastructure monitoring
Bronto raises €12M for AI-native log management platform that eliminates data retention tradeoffs for enterprises
Round at a glance
€12MSeed Announced 21 October 2025
Dublin, Ireland
CompanyBronto · profile
HQDublin, Ireland
SectorAI
StageSeed
LeadCercano Management
Participants Heavybit Conviction Capital

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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