Komodor

Komodor is an autonomous AI-powered Site Reliability Engineering (SRE) platform specifically designed for Kubernetes and cloud-native infrastructure management. Founded to address the growing complexity of managing containerized environments at scale, the company has developed Klaudia, an agentic AI technology that automates the visualization, troubleshooting, and optimization of Kubernetes-based platforms. The platform serves enterprise clients by consolidating multi-cluster, cloud, and hybrid environments into contextual workspaces that empower engineers and data scientists to quickly understand system status, change history, and dependencies. Komodor's platform operates across three core pillars: visualization for proactive issue detection, AI-driven troubleshooting with automated root cause analysis and remediation, and cost optimization through dynamic right-sizing and intelligent pod placement. The company claims that Klaudia's hundreds of specialized agents, trained on thousands of production environments, deliver 95% accuracy across real-world incidents. Komodor has established itself as a trusted solution among demanding cloud-native enterprises, with documented case studies showing significant reductions in Mean Time To Resolution (MTTR) and Kubernetes compute costs. The company also contributes to the open-source community through several projects including Helm Dashboard, Komoplane for Crossplane visualization, and Validkube for Kubernetes YAML validation. Komodor maintains a strong presence in the developer community through educational resources, webinars, podcasts, and comprehensive documentation, positioning itself as both a commercial platform provider and a knowledge resource for Kubernetes operations.