Startup Stories

ScaleOps Raises $130M to Autonomously Manage AI Cloud Infra

New York: ScaleOps has raised $130 million in a Series C round at a valuation exceeding $800 million. Insight Partners led the round, with participation from Lightspeed Venture Partners, NFX, Glilot Capital Partners, and Picture Capital. Total funding now stands at over $210 million.

ScaleOps targets one of AI’s least visible but most expensive problems. Most enterprise cloud infrastructure still runs on static, manually configured Kubernetes settings built for a pre-AI world. As AI workloads scale, those configurations fail producing wasted GPUs, ballooning cloud bills, and constant manual intervention from engineering teams.

Also read: Parasail Raises $32M to Build an AI Supercloud for Agent Deployment

ScaleOps replaces that manual layer with autonomous management. Its platform continuously monitors workload demand and performance signals in real time.

It then adjusts resource allocation automatically rightsizing compute, reclaiming idle GPUs, scaling replicas, and moving workloads to spot instances without any human intervention.

Also read: nEye.ai Raises $80M to Build Optical Switches for AI Data Centres

The results are significant. Customers report cloud and AI infrastructure cost reductions of up to 80%. Enterprise clients include Adobe, Wiz, DocuSign, Coupa, and Salesforce. The company has grown 350% year-over-year and tripled its headcount in the past twelve months.

Also read: Yuki Emerges from Stealth with $6M to Tackle Spiraling AI Data Costs

Founded in 2022 by Yodar Shafrir, a former engineer at Run:ai, the GPU orchestration startup acquired by Nvidia, ScaleOps was built from the start around the problem it now solves. Shafrir saw firsthand how enterprises struggled with production AI workloads and built ScaleOps to remove that friction entirely.

The $130M will fund product expansion into broader AI and GPU infrastructure management, global enterprise growth, and headcount with the company targeting a further tripling of its team by year-end.

Anurag Shukla

Anurag Shukla is a Senior Journalist with over two decades of experience across television, digital, and print media. He has worked with leading national news organisations and has also served as a Research Officer in the Prime Minister’s Office (PMO), contributing to media research and policy-level content. A former journalism academic, Anurag brings strong editorial depth and a keen understanding of how technology, governance, and society intersect at Tea4Tech.

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