The New York and Israel-based startup, founded by a former Run:ai engineer and professional triathlete, has grown 350%+ year-on-year and counts Adobe, Wiz, DocuSign, and Salesforce among its customers. Insight Partners led the Series C.
ScaleOps has raised $130 million in a Series C round at a valuation of more than $800 million, led by Insight Partners with participation from all existing investors: Lightspeed Venture Partners, NFX, Glilot Capital Partners, and Picture Capital.
The round brings total funding to $210 million, and includes a secondary transaction worth tens of millions of dollars that allows employees to realise some of their equity. The company has grown more than 350% year-on-year and counts Adobe, Wiz, DocuSign, Salesforce, and Coupa among its enterprise customers.
ScaleOps makes software that does something deceptively difficult: it manages Kubernetes infrastructure autonomously in real time. Kubernetes is the container orchestration system that runs the vast majority of modern cloud applications, and it is excellent at what it was designed for. The problem is that it was designed for a world of relatively stable workloads.
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Today, with AI models being invoked constantly, traffic patterns shifting by the second, and GPU demand spiking unpredictably, the static resource configurations that Kubernetes relies on fall apart.
Engineering teams end up doing constant manual tuning to avoid either performance failures or ballooning costs, a task that is simply not tractable when managing hundreds or thousands of workloads simultaneously. ScaleOps replaces that manual work with continuous, context-aware automation, adjusting compute and GPU resources in real time without human intervention.
Yodar Shafrir, the company’s CEO and co-founder, came to the problem with an unusual background. Before founding ScaleOps in 2022, he was an engineer at Run:ai, the GPU orchestration startup that Nvidia acquired.
He also spent 15 years as a professional triathlete competing internationally for Israel, winning national championships, a background that perhaps explains the methodical approach to a problem most of his competitors were ignoring.
The company was founded in the months before the AI infrastructure buildout that would make the problem impossible to ignore. Now, with AI compute demand growing at triple-digit rates year-on-year and most enterprises still using pre-AI infrastructure management tools, the timing has aligned with ScaleOps’ bet.
The platform covers Kubernetes pod rightsizing, replica optimisation, node management, spot instance optimisation, and, increasingly, GPU and AI model resource management.
It is available on AWS Marketplace, Azure Marketplace, and Google Cloud Marketplace, and is FIPS-compatible for FedRAMP-regulated environments. The company has more than 120 employees across Israel, North America, and Europe, having tripled its team in the past 12 months; it expects to triple again by year-end.
Competitors in the space include Cast AI, Kubecost, and Spot, though Shafrir argues that most automation tools still operate without full application context, a limitation that causes performance issues in production and limits enterprise trust.
