CyberKord raises €2.7M pre-seed for an AI digital twin of enterprise IT that remediates incidents autonomously

CyberKord (Milan) has raised €2.7 million in a pre-seed round led by 360 Capital, with participation from Plus Partners, Addendum Capital, and Vento. Founded in February 2026 by Alessandro Maggio (CEO), Dragos Tanasa (CAIO), and Cosimo Michelagnoli (CTO), the company builds an AI platform that creates a continuously updated digital twin of enterprise IT infrastructure to autonomously diagnose root causes of incidents and execute remediations — with configurable autonomy levels that let IT teams decide how much the system acts without human approval.

The digital-twin approach to IT operations

Traditional IT monitoring tools are good at alerting. They are less good at explaining: surfacing which change, misconfiguration, or failure upstream caused the cascade that just took down an application. Root-cause analysis in complex enterprise environments typically requires experienced engineers working through logs and dependency maps — time-consuming, expensive, and inconsistently reproducible.

CyberKord's approach is to maintain a live model of the IT environment — a digital twin that reflects the current state of network topology, application dependencies, and system configurations — and use that model to reason about causation rather than just correlation. When an incident triggers, the system can trace the fault chain through the model and propose or execute a fix, depending on how much autonomy the team has configured. Initial target sectors are manufacturing, technology, healthcare, and telecom — verticals where IT complexity is high and downtime costs are substantial.

360 Capital and the AIOps market

360 Capital leads the round, extending the Paris-based firm's consistent presence in European cybersecurity and AI infrastructure at the pre-seed and seed stage. The €2.7M is sized for platform development and enterprise pilots — roughly 18 months of runway for a Milan team at this scale — rather than growth.

The strategic bet is on autonomous remediation as the next frontier in enterprise IT operations. Most incumbent AIOps vendors detect and alert well; executing fixes autonomously at enterprise scale requires a level of trust that the market has been slow to extend, partly because blast-radius risks from wrong autonomous actions in production environments are real. CyberKord's configurable autonomy model is a reasonable answer to that objection — teams can start with recommendations-only and graduate to autonomous execution as confidence in the model builds.

Whether the digital-twin model is accurate enough to earn that trust in production, at scale, is what the pilot phase will determine.