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Komodor offers an autonomous AI SRE platform for Kubernetes, powered by an agentic AI solution named Klaudia. It aims to help enterprises operate Kubernetes at scale by visualizing, troubleshooting, and optimizing their cloud-native infrastructure. The platform assists in proactively detecting and remediating issues, managing Kubernetes clusters efficiently, and reducing costs without compromising performance. It provides capabilities for consolidating multi-cluster environments, offering instant understanding of status, change history, and dependencies. Komodor also focuses on automatically detecting, investigating, and remediating issues across complex environments, aiming to slash Mean Time To Recover (MTTR) to seconds through AI-driven root cause analysis and autonomous self-healing. Additionally, it enhances Kubernetes cost efficiency through features like dynamic right-sizing and intelligent pod placement.