Bronto raise $14m seed round to modernise log management for the AI era

TITLE: Bronto Secures $14M to Revolutionize AI-Era Log Management Infrastructure

Industry Veterans Launch Next-Generation Logging Platform

Irish technology entrepreneurs Noel Ruane and Trevor Parsons have secured $14 million in seed funding for their new venture, Bronto, positioning the company to address what they describe as a critical infrastructure gap in the age of artificial intelligence. The Dublin-based startup aims to transform how organizations manage and retain log data as AI deployments become increasingly central to business operations.

Industry Veterans Launch Next-Generation Logging Platform
The Founders’ Impressive Track Record
Addressing the AI Infrastructure Challenge
Investment and Growth Strategy
Solving the Data Retention Dilemma
Global Ambitions with Flexible Operations

The Founders’ Impressive Track Record

What makes Bronto particularly noteworthy is the proven expertise of its founding team. Noel Ruane previously co-founded Voysis, an AI voice platform acquired by Apple in 2020, while Trevor Parsons co-founded LogEntries, a log management solution acquired by Rapid7 in 2015. This combination of AI and logging expertise positions Bronto uniquely to tackle the intersection of these two domains., according to industry reports

“Our team has a combined 150+ years of experience building and operating proprietary log-engines and platforms at global scale in both private, venture-backed and public companies,” Parsons told industrialpcnews.com. “I don’t believe you could handpick a better group of engineers than our team at Bronto.”

Addressing the AI Infrastructure Challenge

Bronto emerges at a critical juncture in enterprise technology evolution. As organizations increasingly deploy AI systems at scale, traditional logging solutions are struggling to keep pace with the massive volumes of data generated by AI workloads. The company promises “low latency, large scale, and long term retention at a fraction of the cost” of existing solutions.

“The shift to AI represents the biggest transformation in computing infrastructure requirements ever, but even pre-AI, logging solutions have not kept pace,” Ruane explained. “Organizations continue to be forced into painful trade-offs: pay astronomical bills for ‘just-adequate’ retention, or delete critical data needed for debugging, security, and compliance.”

Investment and Growth Strategy

The $14 million seed round was led by Cercano Management, Paul Allen’s family office, with participation from Heavybit and Conviction Capital. According to the founders, this substantial seed investment will be used to build “a world-leading go-to-market function to expand its already world-leading engineering function.”, as comprehensive coverage

Lauren Glatter of Cercano Management Venture Capital expressed strong confidence in Bronto’s potential: “We believe Bronto is well-positioned to build a category-defining company in the logging and observability market. We’re thrilled to support Noel and Trevor’s vision and to partner with team-Bronto through our lead investment.”

Solving the Data Retention Dilemma

One of Bronto’s key value propositions addresses a fundamental challenge facing organizations in the AI era: the tension between data retention costs and operational requirements. As Ruane emphasized, “In an agentic world… maintaining all of your log data has never been more critical for companies to leverage and reap the real benefits of AI.”

Parsons was even more direct in his assessment of the current market: “Logging is fundamentally broken, unfit for the volume of data the AI-era has brought, and Bronto fixes that.”

Global Ambitions with Flexible Operations

While headquartered in Dublin, Bronto describes itself as a “people-first, location second” organization, with established presence on both US coasts. This distributed approach reflects the company’s ambition to become “the world’s number 1 logging platform for all users and use cases,” competing in the global market for observability solutions.

The timing of Bronto’s launch appears strategic, as enterprises worldwide grapple with the infrastructure implications of widespread AI adoption. The company’s focus on solving the data retention and management challenges specific to AI workloads could position it as a critical enabler for organizations seeking to maximize their AI investments while maintaining operational visibility and compliance.

As AI continues to transform enterprise technology stacks, solutions like Bronto that address the underlying infrastructure requirements will likely play an increasingly vital role in enabling successful AI implementation at scale.