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US cloud startup ScaleOps raises $130m series C

ScaleOps, a New York-based startup that automates how companies allocate compute resources for Kubernetes workloads, said it raised US$130 million in a series C round at a US$800 million valuation.

Insight Partners led the round, with participation from Lightspeed Venture Partners, NFX, Glilot Capital Partners, and Picture Capital.

ScaleOps was co-founded in 2022 by CEO Yodar Shafrir, a former engineer at Run:ai, and sells software that adjusts compute, memory, storage, and networking capacity in real time.

The company claimed its tools can cut cloud and AI infrastructure costs by up to 80%, and said customers include Adobe, Wiz, DocuSign, Salesforce, and Coupa.

The fresh capital will be used to expand the platform and launch new products.

🔗 Source: TechCrunch

🧠 Food for thought

Implications, context, and why it matters.

ScaleOps’ valuation reflects its rapid fundraising and product expansion

  • ScaleOps reached its valuation after a fast run of funding, including a US$58 million Series B in November 2024 that came about 16 months earlier than expected 1.
  • The cash arrived as the company moved into AI infrastructure, with an AI Infrastructure module launched in November 2025 that added graphics processing unit (GPU) workload optimization 1.
  • The product targets a common headache for enterprise IT and cloud platform teams, since poor allocation can leave purchased central processing unit (CPU) capacity sitting idle. Sysdig, a cloud security and monitoring company, reported 69% of purchased CPU goes unused 2.
  • ScaleOps said it delivered over 350% year-over-year growth, which tracks investor demand for software that automates infrastructure management 3.

The funding validates a shift from cost visibility to autonomous cost control

  • The round suggests the market is moving past cost dashboards toward tools that take automated action 1.
  • Competition tightens in a packed space that includes Cast AI plus native autoscaling tools from Amazon Web Services (AWS), Google, and Microsoft Azure 1.
  • ScaleOps’ pace suggests buyers want systems that change production settings in real time. Many platform engineering teams still avoid running Kubernetes Vertical Pod Autoscaler (VPA) fully automated in production because updates can disrupt workloads 2.
  • The shift could force more of the ecosystem, from FinOps (financial operations) suites to cloud providers, to go beyond recommendations and ship hands-off automation to stay competitive 1.

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