Company: ScaleOps
Co-Founders: Yodar Shafrir, Guy Baron
Website: https://devrev.ai/
About ScaleOps
ScaleOps was founded in 2022 by Yodar Shafrir, a former engineer at Run:ai (the GPU orchestration startup acquired by Nvidia) and a fifteen-year professional triathlete who competed internationally for Israel. The company set out to solve a problem Shafrir saw firsthand while working with DevOps teams: Kubernetes is powerful and flexible, but it relies on static configurations that cannot keep up with the dynamic behaviour of modern workloads, particularly AI inference. Most existing tools surfaced visibility into the problem without delivering an actual solution.
ScaleOps closed that gap. The platform connects application needs to infrastructure decisions in real time, autonomously rightsizing CPU, memory, replicas, nodes, and increasingly GPUs. It installs in two minutes, works out of the box, and adapts continuously to live workload behaviour.
The early years tested whether this thesis would hold. Many DevOps teams resisted handing automated control to production environments, worried that automated changes would disrupt critical workloads. ScaleOps answered with a context-aware approach that adjusts resources without modifying manifests or deployment logic, working alongside existing schedulers and autoscalers rather than replacing them. That design earned trust from enterprises operating mission-critical Kubernetes clusters at scale. Today the platform manages production environments at Adobe, Wiz, DocuSign, Salesforce, Coupa, and Fortune 100 organisations across North America, Europe, and India.
The AI buildout reshaped the stakes. As enterprises shifted from experimentation to production AI, GPU costs and shortages collided with infrastructure tooling designed for a pre-AI era. ScaleOps responded by extending the platform to GPU and AI model workloads. In late 2025, the company launched AI Infra, which brings application-context-aware automation to GPUs and self-hosted LLMs. Early adopters running production inference are achieving 70 to 80 percent GPU utilisation, up from a baseline of 20 to 30 percent, and reducing infrastructure spend by 50 to 70 percent on GPU-heavy workloads.
That impact compounded. ScaleOps grew more than 350 percent year on year and tripled its team in the past twelve months, with plans to triple again by year-end. In March 2026, Insight Partners led a 130 million dollar Series C at a valuation above 800 million dollars, with participation from all existing investors including Lightspeed Venture Partners, NFX, Glilot Capital Partners, and Picture Capital. Total funding now stands at 210 million dollars. The platform is available on AWS Marketplace, Azure Marketplace, and Google Cloud Marketplace, and is FIPS-compatible for FedRAMP-regulated environments.
The broader contribution to the AI industry is structural. AI compute demand is growing at triple-digit rates while most enterprises still manage infrastructure with static, manual tooling. By replacing that work with continuous, autonomous, context-aware automation, ScaleOps lets engineering teams run more AI workloads on the same hardware, ship models faster, and bring down the cost of inference at production scale.
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