Insight Partners leads ScaleOps' $130M Series C to automate cloud chaos -- TFN

As AI adoption accelerates, demand for cloud and AI infrastructure has surged by triple digits year-over-year in 2026. Yet most enterprises rely on static, manual tools that cannot handle dynamic workloads, leading to misallocated resources, higher cloud costs, SLO violations, and wasted engineering time on maintenance rather than innovation.

New York-based ScaleOps raised $130 million in a Series C round at a valuation exceeding $800 million, led by Insight Partners with participation from Lightspeed Venture Partners, NFX, Glilot Capital Partners, and Picture Capital. This brings total funding to over $210 million.

ScaleOps will use proceeds to advance its product roadmap for autonomous AI and cloud infrastructure management, expand globally, and scale engineering and go-to-market teams.

Founded in 2022 by Yodar Shafrir, ScaleOps offers a self-hosted platform for real-time, autonomous management of cloud-native environments, including GPU and compute resources. It monitors workloads, allocates resources through context-based decisions, and applies changes in line with enterprise policies, ensuring AI models and apps receive precise resources without human input.

Shafrir shares, "Static allocation and manual tuning simply can't keep up with the speed and complexity of modern production environments. We built ScaleOps to change that, creating a new category of autonomous infrastructure management so that AI and cloud applications can run at full potential."

In the competitive landscape of autonomous cloud and AI resource management, ScaleOps differentiates itself from rivals like Run:ai (now part of Nvidia), KubeCost, and StormForge.

As of 2026, ScaleOps powers mission-critical environments for Adobe, Wiz, DocuSign, Coupa, and Fortune 500 companies. It reports 350% year-over-year growth, a team that tripled in the past 12 months (with plans to triple again by year-end), and self-hosted support for cloud, on-premises, and air-gapped setups.