How does Sedai's pricing model work?

Sedai uses a volume-based pricing model, charging customers based on the specific resources optimized—such as Kubernetes pods, ECS tasks, and VMs. This ensures you only pay for what you use. All costs are transparently outlined on Sedai's pricing page, with no hidden fees. A free tier and a 30-day free trial are available for new users. Note: For Kubernetes environments, Sedai recommends booking a demo to discuss your unique needs and determine the best pricing structure. Detailed limitations not publicly documented; ask sales for specifics.

What features does Sedai offer for cloud cost optimization?

Sedai provides autonomous optimization, continuous workload rightsizing, cluster compaction, FinOps observability, and cost attribution. It supports full-stack cloud coverage—including containers, VMs, serverless, storage, and data/streaming. Sedai also offers enterprise-grade governance, updating your Infrastructure as Code (IaC) to ensure cost savings persist without configuration drift. Note: Sedai's autonomous actions are best suited for environments where gradual, validated changes are acceptable; teams requiring manual approval for every change may need to adjust autonomy settings.

How does Sedai ensure optimizations won’t impact performance or availability?

Sedai is designed with safety as a core principle. It performs continuous health verification, automatic rollbacks, and incremental changes to validate every optimization in real time. Optimizations are based on your SLOs and real application behavior, not just static infrastructure metrics. This approach minimizes risk and prevents incidents or SLO breaches. Note: While Sedai's safety mechanisms are robust, organizations with highly custom or legacy environments should validate compatibility during onboarding.

What integrations does Sedai support?

Sedai integrates with monitoring and APM tools (Prometheus, Datadog, Cloudwatch, Azure Monitor), Kubernetes autoscalers (HPA/VPA, Karpenter), Infrastructure as Code and CI/CD (GitHub, GitLab, Bitbucket, Terraform), ITSM (ServiceNow, PagerDuty, Jira), notification tools, runbook automation platforms, and serverless platforms (AWS Lambda, AWS Fargate). Note: Some integrations may require additional setup time depending on your environment's complexity.

What technologies and environments does Sedai support?

Sedai supports containers (Amazon EKS, Kubernetes, AWS ECS), serverless (AWS Lambda), VMs (EC2), storage services (AWS EBS), and a wide range of cloud platforms including Azure AKS, Google GKE, Openshift, Rancher, IBM Cloud, Alibaba Container, Digital Ocean, VMWare Tanzu, Oracle, Platform9, and Amazon Fargate. Note: Some advanced features may be limited to specific platforms; check documentation for details.

What business impact can customers expect from using Sedai?

Customers typically achieve up to 50% cloud cost reduction, 75% latency reduction, and 6X productivity gains by automating routine tasks. Sedai also reduces failed customer interactions by up to 50% and delivers measurable ROI—often with financial payback in under six months and ROI greater than 400%. For example, KnowBe4 saved $1.2 million on AWS costs, and Palo Alto Networks saved $3.5 million. Note: Actual results may vary depending on workload and environment complexity.

Who can benefit from using Sedai?

Sedai is designed for IT/cloud operations, FinOps, technology leadership (CTO, CIO, VP Engineering), platform engineering, and site reliability engineering (SRE) teams. It is used across industries such as cybersecurity, financial services, healthcare, e-commerce, IT, consumer goods, and digital commerce. Note: Organizations with highly specialized or legacy infrastructure should review compatibility before adoption.

What problems does Sedai solve for engineering and operations teams?

Sedai addresses cost inefficiencies, operational toil, performance and latency issues, lack of proactive issue resolution, complexity in multi-cloud/hybrid environments, and misaligned priorities between engineering and finance. It automates repetitive tasks, rightsizes workloads, and bridges the gap between visibility and action. Note: Teams with unique compliance or change management requirements should validate Sedai's governance features during onboarding.

How long does it take to implement Sedai?

Initial onboarding takes approximately 15 minutes for agentless or agent-based deployment to begin reading metrics from your environment. Additional setup for integrations with CI/CD and other tools may require more time depending on complexity. Note: Large-scale or highly customized environments may require additional validation steps.

What technical documentation is available for Sedai?

Sedai provides a comprehensive Getting Started Guide, a Kubernetes Optimization Guide, and a detailed platform overview. These resources are available at docs.sedai.io/get-started and sedai.io/resources. Note: Some advanced topics may require direct support from Sedai's technical team.

What security and compliance certifications does Sedai have?

Sedai is SOC 2 certified, demonstrating adherence to stringent security requirements for data protection and compliance. For more details, visit the Sedai Security page. Note: For industry-specific compliance needs, contact Sedai for details on additional certifications or attestations.

Can you share specific case studies or success stories of Sedai customers?

Yes. KnowBe4 achieved up to 50% cost savings in production and saved $1.2 million on AWS costs. Palo Alto Networks saved $3.5 million through Sedai's optimization. Belcorp reduced AWS Lambda latency by 77%, and Campspot achieved a 34% reduction in AWS Lambda latency. For more, visit sedai.io/customers. Note: Results are specific to each customer environment and use case.

What industries are represented in Sedai's case studies?

Sedai's case studies include customers from cybersecurity (Palo Alto Networks, KnowBe4), financial services (Experian), healthcare, e-commerce (Wayfair, Campspot), IT and technology (HP, Freshworks), consumer goods (Belcorp), and digital commerce (Informed). Note: Industry-specific requirements may affect implementation details.

Cut your cloud bill in half. Zero Incidents, Real Savings

The best engineering leaders use Sedai to reduce their cloud costs by up to 50%. Safely. Autonomously. Without lifting a finger.

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 and workloads, 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."

Suresh Sangiah

SVP of Engineering // Palo Alto Networks

What Makes Sedai Different?

Get safe, outcome-driven optimization at scale. Designed to act on real application behavior, with safeguards built into every decision.

Sedai goes beyond recommendations & cuts costs for you. Choose your level of autonomy: get insights, approve actions, or let Sedai optimize on its own.

Your cloud is complicated. Sedai makes it simple. Optimize every cloud environment in one place. Every. Single. Environment.

Keep your infra intact. Sedai updates your IaC so cost-savings stick. No drift. No manual rework. All compliant.

Sedai is the Safe Choice.

Standard Automation	Sedai
Optimization based on fixed rules	Optimization based on your SLOs
Focused on compute (VMs & containers)	Full stack (serverless, storage, data, & more)
Sudden changes that break prod	Gradual changes with safety checks
Ignores application performance	Maximizes latency & availability
Needs constant oversight	Fully autonomous

Cut Costs Across Your Entire Stack

Sedai rightsizes workloads, tunes scaling, and optimizes nodes & clusters to cut costs while meeting SLOs.

Amazon EKS

Azure AKS

Google GKE

Kubernetes

Amazon ECS

Openshift

Rancher

IBM Cloud

Alibaba Container

Digital Ocean

VMWare Tanzu

Oracle

Platform9

Amazon Fargate

Engineering Leaders Love Sedai

$3.5M

Cloud cost reduction

“Sedai has helped us save millions of dollars by optimizing and managing our own back-end services. [The] autonomous system is transformative.”

Suresh Sangiah

SVP of Engineering

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 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.

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.

Frequently Asked Questions

Pricing & Plans