New updates have been reported about ScaleOps.
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ScaleOps has raised $130 million in a Series C round led by Insight Partners, valuing the company at more than $800 million and lifting total capital raised above $210 million. The funding cements ScaleOps’ positioning at the center of the emerging Autonomous Cloud and AI Infrastructure Resource Management category, where it is seeing over 350% year-over-year growth and rapid enterprise adoption.
The company’s platform automatically manages and scales GPU and compute resources in real time, reallocating capacity based on workload demand and performance signals to improve SLOs, reliability, and infrastructure utilization. ScaleOps reports customers can cut cloud and AI infrastructure costs by up to 80% while freeing engineering teams from manual tuning so they can focus on product development and innovation.
CEO and founder Yodar Shafrir said the funding will accelerate ScaleOps’ mission to make self-managing infrastructure the enterprise standard, arguing that static allocation models cannot keep up with the complexity of modern AI and cloud environments. Insight Partners managing director Jeff Horing highlighted ScaleOps’ fit with enterprises seeking performance and efficiency at scale as AI workloads grow at triple-digit rates.
ScaleOps’ technology is already embedded in some of the most demanding production environments, including large enterprises such as Adobe, Wiz, DocuSign, Coupa, and other Fortune 500 customers. Over the past 12 months, the company has tripled its workforce and plans to triple headcount again by year-end, with new capital earmarked for expanding engineering and go-to-market teams globally.
Strategically, the Series C proceeds will support an expanded product roadmap to cover a broader range of AI and cloud infrastructure scenarios across cloud, on-premises, and air-gapped deployments. The company is pushing toward a model where capacity continuously aligns with demand, reducing waste while maintaining performance, and positioning ScaleOps as a core control layer for enterprises running large-scale AI and cloud-native applications.