The Autonomous FinOps Solution Engineering Teams Love
Sedai makes FinOps autonomous. Get self-optimizing cost, performance, & availability aligned with your SLOs. Engineering trusts it. FinOps gets real savings.
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Trusted by Industry Leaders
Cost Savings, Minus the Risk
Sedai not only shows you where your cloud money goes, but it cuts costs for you. By deeply understanding your infra, it safely rightsizes workloads, shrinks excess capacity, and updates your IaC without crossing your guardrails. Get savings without going down.
FinOps Observability & Cost Attribution
Everyone does cloud cost visibility. Sedai uses that visibility as the foundation for everything it builds on. See what you’re spending, who’s spending it, and why costs spike.
Continuous Workload Rightsizing
When you know what’s driving your spend, Sedai autonomously & continuously rightsizes your workloads. All based on your app’s real behavior.
Cluster Compaction
Rightsizing only matters if you can shrink the infra. Sedai safely packs workloads together so you stop paying for excess cloud capacity.
"Sedai has helped us save millions of dollars by optimizing and managing our own back-end services. But most importantly, Sedai allows us to respond in real time when anomalies are detected."
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Suresh Sangiah
SVP of Engineering // Palo Alto Networks
Why Sedai Is the FinOps Solution Engineering Trusts
Get safe, outcome-driven optimization at scale. Designed to act on real application behavior, with safeguards built into every decision.
Sedai isn't just another recommendation tool. It autonomously executes cost optimization for you based on app behavior. No manual or reactive optimization.
Sedai updates your IaC automatically. Every optimization is tracked, auditable, & drift-free. FinOps gets savings, engineering keeps their source of truth.
Sedai continuously optimizes to your performance & cost goals. It aligns every action with latency, availability, & budget.
See Sedai in Action
Prove the Performance & Savings
Schedule your personalized demo and experience the future of cloud optimization. Demos include a free 30-day trial + production-ready POC's, schedule today!
FAQs
Sedai is built for production safety. Its patented optimization engine learns normal workload behavior and only applies incremental changes within cluster constraints. It then validates every action against live signals, rolling back automatically if performance drifts. Sedai has safely executed millions of optimizations across some of the world’s largest enterprises. It’s proven reliability at massive scale.
Sedai builds a baseline of each workload’s normal behavior and only applies changes that don’t affect performance and availability. It continues monitoring afterward and can roll back if it detects early degradation.
Sedai adjusts container CPU and memory based on real behavior. On supported clusters, Sedai can make these updates without restarting the pods. At the infrastructure level, Sedai reviews node capacity, utilization, and placement to consolidate workloads or remove unnecessary nodes.
Sedai automatically tunes Kubernetes resources based on real workload behavior. It adjusts vertical and horizontal scaling, including CPU, memory, replica counts, & scaling policies at the pod & container level. There’s no need for manual tuning. At the infrastructure layer, Sedai selects the right instance types based on application-level latency requirements. With Cluster Compaction, Sedai goes beyond traditional autoscalers by intelligently redistributing workloads and safely decommissioning unused nodes. You can unlock additional savings without compromising performance or reliability.
Sedai monitors CPU and memory usage with service-level signals like latency, traffic, errors, and saturation.
Yes. Sedai offers multiple operating modes so you stay in full control. In Datapilot mode, Sedai shows recommendations without taking action. In Copilot mode, you review and approve optimizations before they’re applied. In Autopilot mode, Sedai applies safe, validated optimizations automatically. You can use different modes for different workloads or environments, letting you run Autopilot in production while keeping review-only modes in dev or staging.
Yes. You can choose which clusters or workloads Sedai optimizes and which stay in recommendation-only mode. Sedai only makes changes where you’ve explicitly allowed it.
Sedai’s pricing is based on the number of vCPUs under management. You only pay for the Kubernetes resources Sedai actively optimizes, not dashboards, seats, or passive monitoring. This vCPU-aligned model gives you predictable costs as your environments scale, with flexible tiers for dev, staging, and production.
Sedai connects through the Sedai Smart Agent using standard Kubernetes APIs. It requires no deployment changes and only acts within your set permissions.
No. Sedai works with the metrics and signals already exposed by your Kubernetes cluster and services. Sedai runs with your existing monitoring tools.
We make setting up Sedai fast and simple. Onboarding usually takes a few hours once permissions are set. Even for environments with 20+ clusters. After implementation, Sedai needs about 2–4 weeks to learn your workloads and traffic patterns. Talk to our cloud experts for a personalized estimate of Sedai's time to value.
Yes. Sedai can optimize large and distributed Kubernetes environments. It uses the same metrics and safety checks at any scale. No need to restructure your clusters.
Sedai dramatically reduces your Kubernetes costs. Our customers typically achieve a 30–40% cost reduction, plus improvements in performance & availability. Talk to our cloud experts for a personalized estimate of how much Sedai can save you.