Sedai Autonomous Cloud Optimization Platform

Sedai, Inc. is based in Pleasanton, California and was founded by Suresh Mathew (CEO) and Benji Thomas (CTO), who built the underlying autonomous system while working at PayPal. It targets enterprises whose engineers spend time manually tuning cloud resources while costs and performance drift.

The platform learns application behaviour and safely acts on Kubernetes workloads and nodes, virtual machines, serverless functions on AWS Lambda, Azure Functions and Google Cloud Functions, storage tiering and IOPS, and data and streaming clusters across AWS, Azure, GCP and OCI. Teams can choose Datapilot (recommendations), Copilot (one-click approval) or Autopilot (fully autonomous) modes, and the system integrates with Terraform, Helm, Argo CD, Flux and existing APM tools. Customers named on the site include Palo Alto Networks, GSK, HP and KnowBe4.

• Kubernetes optimization: Rightsizes workloads, tunes scaling and node and cluster configuration.
• VM optimization: Rightsizes instances and autoscaling policies.
• Serverless optimization: Tunes AWS Lambda, Azure Functions and Google Cloud Functions.
• Storage optimization: Lifecycle tiering, IOPS and throughput sizing and waste cleanup.
• Autonomy modes: Datapilot, Copilot and Autopilot control how changes are applied.
• IaC and GitOps integration: Works with Terraform, Helm, Kustomize, Argo CD and Flux.

A Vietnamese bank or securities firm can let Sedai rightsize Kubernetes services in Copilot mode with approvals before moving to Autopilot. A ride-hailing or delivery platform can tune serverless functions and autoscaling for peak hours. A telco can tier storage and resize VMs across its cloud accounts.

Funding coverage cites up to 65% cost reduction on Kubernetes clusters and 28% on VM workloads, with 30% performance improvements reported by customers. The platform has executed over 25 million optimizations with zero incidents per the site, and manages about USD 3 billion in cloud spend. Graduated autonomy modes let teams build trust before enabling full automation. Pricing per managed vCPU makes costs predictable.

Cloud estates have become too large and dynamic for manual tuning, and engineering leaders are adopting autonomous systems that optimise cost and performance together. Southeast Asian banks, telcos and platforms with large Kubernetes and serverless footprints face the same pressure as cloud budgets grow.

Sedai, Inc. is located in Pleasanton, California. It raised a USD 20 million Series B in June 2025 led by AVP with Norwest, Sierra Ventures and Uncorrelated Ventures, and reported 7x revenue growth in 2024. It cites eight US patents for its autonomous actions.