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Clastix bags €2.9M to tackle the complexity of Kubernetes at scale

Tech.eu Tamara Djurickovic

Clastix raised €2.9M to make Kubernetes easier to run at scale. Its bet: the real AI fight is the infrastructure underneath the models.

Based on reporting by Tech.eu, Tamara Djurickovic — read the original for the full story.

Summary, retelling and take written by AI under human oversight; images are AI-generated illustrations. How we work · Report an error

Clastix, the Italy-based startup building software for Kubernetes operations, has pulled in €2.9 million in seed funding. The round was led by CDP Venture Capital Sgr, with backing from Mistral and VERTIS SGR through Vertis Venture 6 Digital Sud, a fund partly financed by the European Union’s Next-Generation EU programme.

The company is aimed at a very specific pain point: once Kubernetes grows beyond a few clusters, the plumbing gets messy. Traditional setups need dedicated machines and infrastructure for each control plane, which adds overhead fast. Clastix is trying to move those control planes onto shared infrastructure instead, so platform teams can cut that burden and run more clusters without turning operations into a permanent fire drill.

That idea sits behind two products. Kamaji is the open-source Hosted Control Plane engine, and it will stay under the Apache 2.0 licence. kMetal is the commercial platform, built for fleet management, governance and production operations. The company says both are already in production with infrastructure teams in Europe and North America, across AI labs, telecommunications, cloud services and the public sector.

The new money is going toward the usual startup targets, but with a fairly clear emphasis: product development, customer success, solutions engineering and go-to-market expansion. Clastix also plans to increase its R&D capacity for AI workloads and keep investing in Kamaji. CEO Adriano Pezzuto argues the layer beneath the models is becoming the real battleground for AI, and Timothée Lacroix, co-founder and CTO of Mistral, backed that view by pointing to Clastix’s work on multi-tenancy and managed control planes for training and inference clusters. Over the next three years, Clastix expects headcount to grow as customer demand grows with it.

My take — AI-written commentary, not fact-checked reporting

This is the kind of AI story Europe should be funding more often: boring infrastructure, not another grand promise wrapped in glitter. The model hype cycle is noisy; the people selling the shovels usually end up doing the sturdier business. And yes, the sovereign AI talk sounds better when it comes with control planes instead of slogans.

Read more about this at: Tech.eu

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