Kubecost shows cloud waste. Sedai actually cuts it — safely.

Sedai uses a simple, volume-based pricing model, designed to ensure our customers achieve a positive ROI. For example, we charge 1 Sedai Billing Unit (SBU) for each vCPU that our platform manages. There are no overage penalties — if you exceed your monthly commitment, you simply pay the same rate for the extra usage. You can also adjust your commitment, as your needs change over time.

Yes. We can run a free proof of value (POV) in your environment so you can see Sedai working on your own workloads before signing a contract. During the POV, Sedai doesn’t just identify savings opportunities. If you prefer, we can also execute approved optimizations in your environment to demonstrate the real impact using your actual infrastructure data. Our team owns the setup, monitoring, execution, and reporting, so your team can focus on reviewing the results, safety controls, and savings potential.

Safe optimization is our secret sauce. When Sedai identifies a potential cost or performance improvement, our platform makes that optimization in gradual steps, while continuously validating the impact of the change on your environment. For example, if Sedai determines it can lower the memory limit of a container without impacting performance, it won’t make a big change all at once, from say 12 to 4 GB. Instead, Sedai will gradually lower the memory to achieve maximum cost savings, until the exact point where performance is impacted. Your performance and availability SLOs will stay intact.

Sedai supports the widest range of cloud services & on-prem workloads in our industry. This includes all the major cloud providers: AWS, Microsoft Azure, Google Cloud Platform, & Oracle Cloud Infrastructure. We’re the experts at optimizing Kubernetes — think EKS, AKS, & GKE, as well as on-prem (Rancher, OpenShift etc.) But our platform is unique in going way beyond K8s. Sedai also optimizes storage, data platforms, and AI/ML workloads.

Only Sedai deeply understands how your applications behave, which is why our platform can optimize safely without causing performance or availability issues. Most tools either stop at recommendations or make risky changes based on surface-level metrics like CPU and memory utilization. Sedai goes deeper. Our patented ML models learn what your applications actually need by analyzing traffic patterns, dependencies, and golden signals like latency, errors, traffic, and saturation. That application-aware approach is what makes Sedai safe in production. To date, Sedai has performed more than 25 million optimizations with zero incidents.

Sedai offers three operating modes that give you full control. In Datapilot mode, Sedai provides read-only recommendations, for you to implement. In Copilot mode, Sedai lets your team approve optimizations with one click, which Sedai then safely executes. Once you trust the platform, you can turn on Autopilot mode for resources or environments that you select, which enables Sedai to make optimizations autonomously. Across the board, Sedai enables your team to instantly roll back a change, schedule maintenance windows, & pause optimizations for any reason.

Sedai is designed to work alongside your existing CI/CD and GitOps workflows, not replace them. When Sedai optimizes a resource, it can automatically open a pull request in your Git repository reflecting the change, so your IaC stays in sync across tools like Terraform, Helm, and Kustomize. For environments where the pipeline might otherwise overwrite Sedai’s changes, Sedai includes overwrite protection, including a Kubernetes Admission Controller for GitOps tools like Argo CD and Flux. This helps preserve approved optimizations without disrupting your existing workflow. The result is full auditability, no hidden drift, and no rip-and-replace required.

Sedai offers both agent-based and agentless deployment options, dependent on your use case. For most cloud resources, Sedai connects securely via IAM permissions, without requiring an agent. However, for Kubernetes clusters, we recommend using our Smart Agent for deeper integration. You can also choose agentless setups for AKS, EKS, & GKE clusters, if you prefer. Onboarding is quick — typically just 15 minutes.

SOC 2 Type 2 certified, with read-only API access by default and granular role-based controls for any write actions. Sedai operates in environments at financial services, healthcare, and government companies — including organizations with strict change management requirements. We can walk through specific compliance and audit requirements during your demo.