Most AI companies compete at the model layer or the application layer.
Bronto is focused on a different question: what happens to the massive amount of log data generated by modern AI systems, and how do companies manage it at scale?
That question may sound technical at first, but it is becoming increasingly important.
As AI agents, distributed systems and always-on workflows grow more common, organisations are generating more operational data than ever before. The challenge is no longer simply collecting logs. It is retaining, searching and using them without driving infrastructure costs to unsustainable levels.
This is where Dublin-based Bronto stands out.
Founded in 2024, the company describes itself as The Logging Layer for the AI Era. Its platform is designed to help companies retain and work with large volumes of log data without forcing the traditional trade-off between scale and cost.
According to Bronto’s public positioning, the platform offers:
- petabyte-scale log management
- low-latency search
- long-term data retention
- an architecture that removes the traditional separation between hot and cold data
- automated parsing
- storage and cost optimisation
What makes the story even stronger is the team behind it.
The founding team includes Noel Ruane, co-founder of Voysis, which was later acquired by Apple, and Trevor Parsons, co-founder of LogEntries, which was later acquired by Rapid7. That gives Bronto deep roots in observability, infrastructure and large-scale logging systems.
The company also raised a $14 million seed round in 2025, another strong signal that this is not just an infrastructure idea, but one that investors see as increasingly important in the AI era.
At AI Dubliners, this is exactly the kind of company we pay attention to.
Because the future of AI will not be shaped only by better models or smarter applications. It will also be shaped by the infrastructure that makes those systems scalable, reliable and manageable in the real world.
Bronto is building that layer from Dublin.
