ScaleOps specializes in autonomously managing and scaling cloud and AI infrastructure in real time, allowing AI and cloud applications to run at full potential.

Its software automates cloud and AI resource utilization, cutting costs by up to 80% by addressing idle GPUs, over-provisioning, and other inefficiencies.

With demand for cloud and AI infrastructure expanding rapidly, ScaleOps automates real-time resource allocation to reduce inefficiencies and cloud costs.

CEO Yodar Shafrir emphasizes thanking employees via secondary offerings, notes strong revenue growth from a few million to tens of millions, and highlights product evolution and expansion with customers like Adobe, Wiz, Armis, DocuSign, and Coupa.

The funding round occurred on the eve of war, with management asserting resilience and continued performance despite challenges.

The funding comes about 18 months after ScaleOps’ Series B, with the company reporting over 450% year-over-year growth and a tripling of headcount in the past year, and plans to expand further.

CEO and co-founder Yodar Shafrir previously worked as an engineer at Run:ai and spent 15 years as a professional triathlete for Israel, a background that informs his methodical approach to the problem.

Shafrir founded ScaleOps in 2022 to tackle managing compute, memory, storage, and networking across dynamic production workloads beyond GPUs.

He states that compute is the defining bottleneck of the AI era and ScaleOps aims to create a new category of autonomous infrastructure management as the enterprise standard.

ScaleOps products are available on AWS, Azure, and Google Cloud marketplaces, and the platform is FIPS-compatible for FedRAMP-regulated environments.

For 2026, ScaleOps reports threefold year-over-year growth in demand for cloud and AI infrastructure, with many enterprises still using pre-AI maintenance approaches.

ScaleOps believes AI adoption and autonomous cloud resource management will accelerate, aiming for unicorn status in the next funding round and continued investment in AI infrastructure and agent management.