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ScaleOps

Category: AI Infrastructure

A fully autonomous cloud and AI infrastructure resource management platform that automatically optimizes Kubernetes clusters and GPU resources in real-time. ScaleOps was founded in 2022. The company is led by Yodar Shafrir. Based in Tel Aviv, Israel. Team size: 50-100. Total funding raised: $209.5M. Latest round: Series C (Mar 2025). Key investors include ["Insight Partners","Lightspeed Venture Partners","NFX","Glilot Capital Partners","Picture Capital"].

Founded
2022
Headquarters
Tel Aviv, Israel
Team size
50-100
Total funding
$209.5M

Value proposition

Reduces cloud infrastructure costs by up to 80% and improves application performance by autonomously rightsizing resources and managing scaling without manual intervention.

Products and solutions

["Autonomous Kubernetes Resource Optimization (Vertical & Horizontal Scaling)","AI Infrastructure & GPU Resource Management","Karpenter Optimization Engine","Smart Pod Placement (Handling 'unevictable' workloads)","Self-Hosted & Air-Gapped Deployment Options","Granular Cost & Performance Analytics"]

Unique value

Unlike traditional tools that only provide recommendations, ScaleOps is 'hands-free' and autonomously executes resource changes in real-time based on application-specific context.

Target customer

DevOps teams, Site Reliability Engineers (SREs), Platform Engineers, and enterprises running large-scale Kubernetes or AI/ML workloads.

Industries served

["Technology & SaaS","Artificial Intelligence & Machine Learning","E-commerce & Retail","Financial Services","Enterprise Software"]

Technology advantage

Proprietary AI-driven orchestration that is JVM-aware (optimizing Java heap/GC behavior) and capable of managing complex 'unevictable' workloads that typically block cluster scaling.

How they differentiate

ScaleOps differentiates through 'fully autonomous' closed-loop execution rather than just providing recommendations. It features JVM-aware optimization (optimizing Java heap/GC) and the ability to handle 'unevictable' workloads that typically block standard scaling tools.

Main competitors

["Cast AI","PerfectScale","StormForge","Kubecost"]

Key partnerships

["Cloud Providers: AWS (Marketplace Partner), Google Cloud (GCP), Microsoft Azure","Technology Partners: Red Hat (Certified OpenShift Operator), FinOps Foundation","Strategic Investors: Insight Partners, Lightspeed Venture Partners, NFX, Glilot Capital Partners"]

Notable customers

["Wiz","Outreach","SentinelOne","Salt Security","Noname Security"]

Major milestones

["Reached Unicorn status with a valuation exceeding $800M following Series C","Successfully scaled to manage hundreds of thousands of Kubernetes clusters globally","Launched industry-first autonomous GPU optimization for AI workloads"]

Growth metrics

Reported 10x revenue growth year-over-year following their Series B; currently managing production environments for multiple Fortune 500 companies.

Market positioning

Category leader in Autonomous Kubernetes Resource Management, positioned as a hands-free alternative to manual FinOps and resource allocation tools.

Geographic focus

Global, with primary headquarters in Tel Aviv and New York, focusing heavily on the North American and European enterprise markets.

Patents and IP

Utilizes patented algorithms for real-time compute and memory allocation based on actual usage patterns rather than static limits.

About Yodar Shafrir

Previously Software Team Lead for AI Orchestration at Run:AI (acquired by NVIDIA for ~$700M). Earlier experience as a Software Engineer at Fireglass (acquired by Symantec) and Mellanox Technologies (acquired by NVIDIA). Expert in Kubernetes automation and cloud-native infrastructure.

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