Sedai

What is Sedai?

Sedai is a cloud and AI cost-optimization platform. It uses patented machine learning to learn how applications behave, then makes gradual, validated changes to cut waste while protecting performance and availability.

Key capabilities of Sedai

• Autonomous optimization: tunes cost, performance and availability across Kubernetes, VMs, serverless and storage.
• Three modes: Datapilot gives read-only recommendations, Copilot needs one-click approval and Autopilot acts autonomously.
• Gradual changes: applies optimizations step by step with continuous impact validation.
• Safety controls: instant rollback, maintenance windows and pausing.
• IaC sync: opens Git pull requests to keep Terraform, Helm and Kustomize in sync.
• Admission controller: protects changes from GitOps overwrites by Argo CD and Flux.

How Sedai works

Sedai connects with an agent (recommended for Kubernetes) or agentlessly through IAM, and the vendor says onboarding takes about 15 minutes. It uses golden signals (latency, traffic, errors and saturation) and integrates with existing APM tools to check that each change helps.

Who uses Sedai?

Sedai is for platform, SRE and FinOps teams running large cloud estates. The vendor cites Palo Alto Networks, GSK, HP and Belcorp as customers.

Sedai pricing

Sedai is volume-based: 1 Sedai Billing Unit per managed vCPU. There are no overage penalties, and usage beyond the monthly commitment is billed at the same rate. Specific pricing and discounts come from a demo.

Sedai alternatives

ScaleOps automates Kubernetes resource management and is narrower in scope. PagerDuty focuses on incident response and on-call, not cost optimization. Moveworks is an employee-facing AI assistant. Sedai differs by acting autonomously across multiple clouds and workload types.