ScaleOps Secures $130 Million to Automate the AI Infrastructure Bottleneck

The AI boom has a dirty secret: a staggering amount of expensive computing power is wasted. GPUs sit unused, systems are overbuilt, and cloud bills balloon. ScaleOps, a startup arguing the core issue is mismanagement, not scarcity, just raised $130 million in a Series C round led by Insight Partners. The funding values the company at $800 million.

Founded in 2022 by former Run:ai engineer Yodar Shafrir, ScaleOps sells software that automatically adjusts computing resources in real time. The company reports its platform can cut cloud and AI infrastructure costs by up to 80%. Shafrir told TechCrunch the idea emerged from watching DevOps teams struggle with production AI workloads, particularly inference. "I realized the problem wasn’t just GPUs," he said. "It extended to compute, memory, storage, and networking."

The problem, according to Shafrir, is that foundational tools like Kubernetes, while powerful, depend on static configurations. Modern applications are dynamic, creating a constant need for manual intervention across teams. "You need something that understands the context of each application—what it needs, how it behaves," he explained. ScaleOps aims to be that context-aware layer, connecting application demands directly to infrastructure decisions autonomously.

While competitors like Cast AI and Kubecost exist, ScaleOps contends its platform is built from the start for production environments, requiring no manual setup. Its enterprise client list includes Adobe, Salesforce, and DocuSign. The New York-based company has grown over 450% year-over-year and tripled its staff in the last twelve months.

This latest round follows a $58 million Series B in late 2024. With total funding now around $210 million, ScaleOps plans to expand its platform and introduce new products, betting that as AI demand grows, so will the need for infrastructure that manages itself.

Source: TechCrunch