Sedai
Sedai is an autonomous cloud management platform that uses AI to optimize cloud costs, performance, and availability across multi-cloud environments. It provides autonomous optimization, remediation, release intelligence, and FinOps capabilities to reduce cloud spend by 30-50%, improve application performance by 30-75%, and enhance availability by minimizing failed customer interactions. Sedai supports Kubernetes, AWS, Azure, and GCP services, enabling enterprises to optimize workloads, infrastructure, and purchasing decisions with no-risk autonomous actions. The platform is trusted by engineering leaders at companies like KnowBe4, Palo Alto Networks, and Belcorp, delivering significant cost savings, performance gains, and operational efficiency. Sedai's business model is subscription-based, charging based on the volume of services optimized, and offers a 30-day free trial. The company aims to improve engineers' quality of life by automating mundane tasks and proactively preventing production issues through AI-driven autonomous cloud management.
Sedai
Sedai is an autonomous cloud management platform that uses AI to optimize cloud costs, performance, and availability across multi-cloud environments. It provides autonomous optimization, remediation, release intelligence, and FinOps capabilities to reduce cloud spend by 30-50%, improve application performance by 30-75%, and enhance availability by minimizing failed customer interactions. Sedai supports Kubernetes, AWS, Azure, and GCP services, enabling enterprises to optimize workloads, infrastructure, and purchasing decisions with no-risk autonomous actions. The platform is trusted by engineering leaders at companies like KnowBe4, Palo Alto Networks, and Belcorp, delivering significant cost savings, performance gains, and operational efficiency. Sedai's business model is subscription-based, charging based on the volume of services optimized, and offers a 30-day free trial. The company aims to improve engineers' quality of life by automating mundane tasks and proactively preventing production issues through AI-driven autonomous cloud management.