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Apr 22, 2026
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NewDecoded
3 min read

Image by Scaleops
ScaleOps announced a $130 million Series C funding round today, bringing its total capital raised to $210 million. The round was led by Insight Partners and included participation from Lightspeed Venture Partners, NFX, Glilot Capital Partners, and Picture Capital. This investment values the company at over $800 million as it defines the emerging category of autonomous cloud and AI infrastructure management.
Current cloud environments face a significant bottleneck because infrastructure management remains largely manual and static. Engineering teams often over-provision resources like CPUs and GPUs to prevent performance lags, which leads to massive waste. ScaleOps addresses this by replacing manual tuning with a system that responds to real-time application demands. The company platform provides context-aware software that scales Kubernetes and AI workloads autonomously. By monitoring performance signals, the platform ensures every application receives the exact resources needed without human intervention. Customers have reported cutting cloud infrastructure costs by as much as 80 percent while maintaining high performance.
With the new capital, ScaleOps intends to expand its reach beyond compute and GPU orchestration. The company plans to apply its autonomous logic to the entire resource ecosystem, including storage and networking. Global expansion is also a priority, with a focus on deepening its presence in US, European, and Indian markets. Founded in 2022 by Yodar Shafrir and Guy Baron, ScaleOps has experienced triple-digit growth over the past year. Its workforce tripled in size recently and is expected to grow further to support its Fortune 500 client base. Major companies like Adobe, Wiz, and Salesforce already rely on the platform to manage their most critical production environments.
The rise of generative AI has moved the industry from simple cloud monitoring toward a necessity for full automation. While legacy tools provided visibility, the speed of AI inference requires real-time adjustments that humans cannot perform. This funding confirms that autonomous resource management is no longer a luxury but a fundamental component of the modern AI tech stack. By eliminating the tradeoff between performance and cost, ScaleOps is positioning itself as the essential operating system for a world where infrastructure must be as dynamic as the applications it supports.
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