



Sedai is a comprehensive AI-first cloud optimization platform that autonomously manages and scales resources across hybrid and multi-cloud environments. By leveraging predictive analytics and machine learning, it anticipates workload fluctuations and optimizes compute, storage, and data resources automatically. Sedai supports Kubernetes clusters, enabling efficient containerized workload management with automated scaling and allocation. Its no-risk optimization ensures that all changes are validated before execution, preventing disruptions. The platform provides actionable insights for cost reduction, performance monitoring, and operational efficiency. Integrations with CI/CD pipelines and enterprise monitoring tools allow teams to streamline workflows, improve resource utilization, and maintain high availability for critical cloud services. Sedai helps organizations reduce cloud costs while ensuring performance, reliability, and scalability.
Key Features
Predictive cloud optimization using AI and machine learning
Autonomous management of compute, storage, and data resources
Kubernetes workload support with automated scaling and allocation
No-risk optimization validated before execution
Actionable cost reduction insights for cloud spending
Multi-cloud support: AWS, Azure, Google Cloud, and hybrid environments
Integration with CI/CD pipelines, monitoring, and enterprise systems
Continuous performance monitoring for resource efficiency
Industries
Cloud & Infrastructure
IT & DevOps
Kubernetes Management
Enterprise Technology
SaaS & Cloud Applications
Managed Services Providers (MSPs)