This post was originally published on this site.
OpsMill, a Paris-based infrastructure data
management company, has raised $14 million in a Series A funding round led by
IRIS, with participation from BGV and existing investors Serena and Partech.
OpsMill addresses a core challenge in enterprise IT:
fragmented and unreliable infrastructure data. Its flagship product, Infrahub,
is an open-source infrastructure data management platform built on a graph
database with native version control. Designed as a system of record for IT
environments, it enables infrastructure and network teams to scale automation
and adopt AI-driven operations with greater reliability.
As enterprises increasingly turn to automation, the
quality of underlying data has become critical. Many organisations still rely
on disconnected systems such as spreadsheets, legacy databases, and custom
scripts, which can lead to errors and operational risks in automated or
AI-driven workflows.
OpsMill aims to provide a unified and trusted data layer
to support safe, scalable automation across complex infrastructure
environments.
Damien Garros, co-founder and CEO of OpsMill, said
automation fundamentally depends on data, and without a complete view of the
network, organisations lack full visibility:
We built Infrahub so that infrastructure teams and
the AI agents working alongside them, always have a complete, trusted record of
what exists and a way to safely evolve at scale.
Infrahub models infrastructure as a network of
relationships rather than static assets, allowing teams to manage dependencies,
validate changes, and maintain governance through a structured DevOps workflow.
The platform is available as both a free open-source Community edition and a
commercial Enterprise version.
The company has
already seen adoption from large infrastructure operators and enterprises
across sectors including retail, manufacturing, and financial services.
With
the new funding, OpsMill plans to further scale its platform and meet growing
demand for AI-ready infrastructure data solutions.