Sedai
Autonomous AI cloud optimization and remediation.
About
Sedai is an autonomous cloud management platform powered by AI/ML that continuously optimizes cloud operations for cost, performance, and availability. It shifts teams from static rules and threshold-based automation to ML-based autonomous operations across Kubernetes (EKS, AKS, GKE), serverless, storage, VMs, data workloads, and GPUs.
Core capabilities include autonomous workload and cluster rightsizing, autonomous purchasing across spot/on-demand/savings plans, autonomous remediation that predicts and fixes issues like OOM kills and CPU throttling in real time, and release intelligence scoring for every deployment. Operational modes run from Datapilot (observe) to Copilot (approve) to Autopilot (fully autonomous). The vendor claims up to 50% cost reduction and 6x SRE productivity; those figures are vendor-reported.
What it can do
- Autonomous compute rightsizing with reinforcement learning
- Autonomous purchasing optimization across pricing models
- Real-time prediction and remediation of infra issues
- Release intelligence scoring per deployment
- Datapilot, Copilot, and Autopilot operational modes
Setup
Available via AWS Marketplace and direct enterprise sales; connect your cloud accounts and Kubernetes clusters to begin discovery.
Prerequisites
AWS/Azure/GCP accounts or Kubernetes clusters; enterprise procurement for full deployment.
Use cases
Works with
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 107; Trending score 74/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.