Series A Funding and Enterprise Infrastructure Challenge
OpsMill has raised $14 million in Series A funding to scale its infrastructure data platform. The round is led by IRIS, with participation from BGV, Serena, and Partech. The funding reflects growing investor confidence in infrastructure data as a core enterprise requirement. It also highlights demand for more reliable automation foundations across industries.
The company was founded in Paris in 2023 by Damien Garros and Karen Gallantry. Garros previously spent nearly two decades at Juniper Networks, Roblox, and Network to Code. During that time, he observed enterprises struggling with fragmented infrastructure systems. These systems relied on spreadsheets, scripts, and disconnected databases.
Garros argues that automation failures rarely come from software itself. He believes the real issue is poor infrastructure data quality. Many organisations lack a single trusted view of their systems. This creates blind spots that lead to deployment failures and operational risk.
The demand for enterprise automation continues to grow quickly. However, most organisations are still building on outdated data foundations. OpsMill positions itself as solving this structural problem first. It sees data quality as the foundation for all automation.
Infrahub Platform and Infrastructure Data Layer
OpsMill’s core product is Infrahub. It is designed to unify fragmented infrastructure information into a single trusted system. The platform connects physical, cloud, and virtual environments. It creates a consistent view of enterprise infrastructure across all layers.
Infrahub uses graph database technology to map relationships between systems. This allows engineers to understand dependencies clearly. It reduces uncertainty before changes are made. This is critical in large and complex environments.
The platform validates configuration updates before deployment. It uses structured approval workflows similar to DevOps processes. This ensures that changes are reviewed before reaching production. It also reduces the likelihood of system errors.
Each infrastructure component is tracked in real time. The system maintains a continuous record of state and relationships. This ensures consistency across environments. It also helps teams detect risks earlier in the process.
Infrahub supports both human engineers and AI agents. It provides a shared source of truth for automation systems. This is important as enterprises adopt more AI-driven workflows. Without structured data, automation systems become unreliable.
The platform is available in two editions. The Community version is open-source and free to use. The Enterprise version adds governance, compliance, and scalability features. This model supports early adoption and long-term expansion.
OpsMill positions Infrahub as a data-first platform. Many competitors focus on orchestration or automation execution. OpsMill focuses on ensuring infrastructure data is accurate before automation begins. This approach reduces downstream operational risk.
Enterprise Adoption and Competitive Position
Enterprise adoption is accelerating across industries as infrastructure data integrity becomes critical for automation, enabling faster deployments, improved reliability, and scalable operations across complex global systems. Source: Created by Ventureburn.
OpsMill is already seeing adoption across multiple industries. These include fintech, insurance, retail, and manufacturing. The platform is also used in cloud infrastructure environments. Early adoption indicates strong enterprise interest in data governance tools.
TikTok is among the infrastructure operators using Infrahub. Eurofiber, a European cloud services provider, is also a customer. These organisations operate large and complex systems. They require high levels of infrastructure reliability.
Eurofiber reported significant operational improvements after adopting Infrahub. The company reduced deployment times from five days to fifteen minutes. This demonstrates the impact of structured infrastructure data. It also highlights improved operational efficiency.
The enterprise automation market is expanding rapidly. More organisations are investing in network automation tools. However, many still rely on fragmented data systems. These systems create inefficiencies and operational risks.
OpsMill competes with companies such as Itential, NetBox Labs, and Pulumi. These platforms focus mainly on orchestration and provisioning workflows. OpsMill instead focuses on infrastructure data integrity and validation. This positions it differently within the automation ecosystem.
Most automation tools assume clean infrastructure data already exists. OpsMill challenges this assumption directly. It argues that unreliable data is the primary barrier to scaling automation. This is especially relevant in AI-driven environments.
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Investment Strategy and AI-Driven Infrastructure Future
Julien-David Nitlech, IRIS managing partner, really drove home how crucial good infrastructure data is. He said AI needs data that’s organized and reliable—otherwise, automation can’t scale the way big companies need. That’s basically what OpsMill is tackling.
With fresh funding, they’re ramping up their engineering and product teams. They’re also speeding up work on Infrahub, focusing on AI-ready infrastructure with tighter validation and governance—features enterprises can trust.
OpsMill wants to be that foundational layer, the go-to source of truth for enterprise systems. And since more industries are rolling out AI, having dependable data matters more than ever. Automation only works as well as the data behind it.
Based in Paris, with another office in London, they’re growing fast—pushing into Europe and beyond. Their whole strategy is about scaling infrastructure intelligence for big companies, setting OpsMill up to make a real impact in the automation space.
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