OpsMill raises $14M Series A to make IT infrastructure data trustworthy for AI agents

OpsMill Secures $14M Series A Funding to Transform IT Infrastructure Management

OpsMill, the Paris-headquartered infrastructure data management company, has raised $14M in Series A funding led by IRIS, with participation from BGV and existing investors Serena and Partech 1

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. Founded in 2023, the startup will deploy the capital to grow its engineering and product teams while advancing its Infrahub platform, which aims to give AI agents and engineering teams a unified view of IT infrastructure across enterprise environments 1

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Addressing the Hidden Crisis in Enterprise Infrastructure

The pitch addresses a problem that has quietly plagued enterprises for years. While automation has spread through applications and workflows, the data describing underlying IT infrastructure—physical hardware, virtual machines, cloud resources, and their interconnections—remains scattered across spreadsheets, configuration management databases, and ad-hoc scripts 1

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. None of these sources was designed to feed AI agents reliable information, and when agents act on incomplete or inaccurate infrastructure data, errors can cascade through production systems rapidly 1

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The stakes are substantial. Gartner forecasts that 30 per cent of enterprises will automate more than half of their network activities by 2026, up from under 10 per cent in mid-2023 1

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. Meanwhile, the ITIC 2024 Hourly Cost of Downtime Report reveals that the average enterprise loses around $300,000 for every hour of downtime, before reputational costs are factored in 1

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How Infrahub Creates a Single Source of Truth for AI-Driven Operations

Infrahub, OpsMill's flagship product, takes a fundamentally different approach to representing enterprise infrastructure than the table-based asset registers most organizations currently use. The platform is built on a graph database that maps connections between hundreds of thousands of infrastructure elements, including the metadata describing how each element should be configured 1

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. Instead of treating infrastructure data as a fixed table of assets, Infrahub treats it as a dynamic web of relationships, giving engineers and AI agents context-rich access to how every part of the infrastructure should be provisioned 2

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Every proposed change is validated and approved through a DevOps-style review process built specifically for infrastructure data before deployment 1

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. This governed approach is particularly relevant in financial services, where misconfigured firewall rules can trigger regulatory penalties, and in manufacturing, where unreliable automation can shut down production lines 2

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Proven Results and Growing Adoption Across Sectors

Infrahub is available in two editions: a free open-source Community version and a licensed Enterprise edition, following a model similar to GitLab's 1

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. Users can develop on the open-source version and graduate to the Enterprise edition when they need governance and compliance features at scale 1

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The platform is already in production at hyperscalers including TikTok, alongside global retailers, fintechs, insurers, and manufacturers using the Enterprise edition in Europe and North America 1

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. Eurofiber, a European cloud-services provider, has cut its service deployment times from five days to fifteen minutes since deploying Infrahub 1

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Leadership Built on Two Decades of Infrastructure Experience

Co-founder and CEO Damien Garros built and scaled Infrahub alongside co-founder and COO Karen Gallantry after spending two decades on the operator side of the same problem at Juniper, Roblox, and Network to Code 1

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. "Automation is ultimately a data problem and if you only have a partial view of your network, you're flying blind," Garros said 1

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. "Writing the code for automating infrastructure was never the problem; the challenge has always been maintaining it and being able to trust it in production."

Julien-David Nitlech, managing partner at IRIS, framed the investment around the urgency of AI adoption: "The race to adopt AI in enterprise infrastructure is real, but most organisations are trying to build on foundations that were never designed for it. Without clean, structured, trustworthy infrastructure data, AI-driven operations simply cannot function at scale" 1

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What This Means for AIOps and Enterprise Automation

OpsMill says the Series A funding will support continued development of data-centric AIOps capabilities 1

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. As enterprises accelerate their adoption of automation and AI agents take on more operational responsibilities, the need for a single source of truth becomes critical. The platform's ability to validate changes before deployment and maintain a complete, trusted record of what exists and what's supposed to exist positions it as infrastructure for the AI-driven operations era 1

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