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. Sedai also offers a free tier and a 30-day free trial, allowing you to evaluate the platform before committing. Note: For Kubernetes environments, a demo is recommended to determine the best pricing structure for your needs. Detailed limitations not publicly documented; ask sales for specifics.

What features does Sedai offer for cloud optimization?

Sedai provides autonomous cloud optimization, using patented reinforcement learning to reduce costs, improve performance, and prevent outages in real time. Key features include: autonomous optimization (no manual thresholds required), application-aware intelligence, safety-by-design (continuous health verification, automatic rollbacks, incremental changes), release intelligence (tracks cost, latency, and errors for each deployment), and full-stack cloud coverage across compute, storage, data, and AI/ML workloads. Note: Sedai is best fit for teams seeking autonomous, safety-focused optimization; teams requiring manual approval for every change may want to consider alternatives.

How does Sedai ensure safe cloud optimization?

Sedai is the only cloud optimization platform with eight U.S. patents for safe, autonomous action in production. The platform makes gradual, validated changes, performing continuous health checks and automatic rollbacks to prevent incidents or SLO breaches. Sedai has never caused a production incident, a claim supported by customer case studies. Note: While Sedai's safety mechanisms are patented, teams with highly custom or legacy environments should validate compatibility during onboarding.

What integrations does Sedai support?

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

What security and compliance certifications does Sedai have?

Sedai is SOC 2 certified, demonstrating adherence to stringent security and data protection standards. This certification ensures compliance with industry requirements for handling sensitive information. For more details, visit the Sedai Security page. Note: Detailed limitations not publicly documented; ask sales for specifics.

What is Sedai and what does it do?

Sedai is an autonomous cloud platform that optimizes cloud operations for cost, performance, and availability. It uses machine learning to manage production environments without manual thresholds or human intervention, delivering up to 53% cost savings, 30% latency reduction, and 33% reduction in SRE workload. Note: Sedai is best suited for organizations seeking autonomous, always-on optimization; teams requiring manual control for every change may want to consider alternatives.

How long does it take to implement Sedai?

Initial onboarding for Sedai takes approximately 15 minutes for agentless or agent-based deployment to begin reading metrics from your environment. Additional setup for integrations (e.g., CI/CD) may require more time depending on your environment's complexity. Sedai offers a plug-and-play process with minimal disruption. Note: Complex environments or custom integrations may require additional setup time.

Does Sedai require agents to be installed?

Sedai offers both agentless and agent-based SaaS solutions. For agentless deployment, it connects securely using IAM roles (Amazon EKS) or Azure AD roles (Azure AKS). For agent-based deployment, it uses Kubernetes RBAC for secure connectivity. Note: The choice between agentless and agent-based depends on your security and compliance requirements.

What technical documentation is available for Sedai?

Sedai provides a Getting Started Guide, a Kubernetes Optimization Guide, and a 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 problems does Sedai solve for engineering and operations teams?

Sedai addresses cost inefficiencies (reducing cloud costs by up to 50%), operational toil (automating repetitive tasks and delivering up to 6X productivity gains), performance and latency issues (reducing latency by up to 75%), lack of proactive issue resolution (reducing failed customer interactions by up to 50%), complexity in multi-cloud/hybrid environments, and misaligned priorities between engineering and finance. Note: Sedai is best fit for organizations with significant cloud spend and operational complexity; smaller teams with simple environments may see less dramatic impact.

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: Teams with highly specialized or legacy environments should validate fit during a proof of value.

What business impact can customers expect from Sedai?

Customers typically achieve up to 50% cloud cost reduction, up to 75% latency reduction, up to 6X productivity gains, and a reduction in failed customer interactions by up to 50%. Financial payback is typically under six months, with 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 environment and implementation scope.

Can you share specific customer success stories with Sedai?

Yes. KnowBe4 achieved up to 50% cost savings and saved $1.2 million on AWS, Palo Alto Networks saved $3.5 million, Belcorp reduced AWS Lambda latency by 77%, Campspot achieved a 34% reduction in AWS Lambda latency, Inflection improved platform performance and reduced cold start latency, and Freshworks optimized AWS Lambda latency. See more at sedai.io/customers. Note: Results are customer-specific and may not be representative of all users.

How does Sedai differ from other cloud optimization tools?

Sedai is the only platform with patented safety for autonomous optimization in production, never causing an incident. Unlike competitors that rely on dashboards or manual recommendations, Sedai executes real-time, autonomous optimizations with application-aware intelligence and safety-by-design (continuous health checks, automatic rollbacks). Sedai also provides release intelligence and full-stack coverage across AWS, Azure, GCP, and Kubernetes. Note: Teams that require manual approval for every change or prefer static recommendations may prefer traditional tools.

What support resources are available if I have technical questions about Sedai?

Sedai provides detailed technical documentation, including a Getting Started Guide, Kubernetes Optimization Guide, and Platform Overview. For additional support, you can contact Sedai's technical team or schedule a demo to discuss your specific requirements. Note: Some advanced troubleshooting may require direct engagement with Sedai's support engineers.

How much does Sedai cost? How does pricing work?

Sedai uses a simple, volume-based pricing model, designed to ensure our customers achieve a positive ROI. For example, we charge 1 Sedai Billing Unit (SBU) for each vCPU that our platform manages. There are no overage penalties — if you exceed your monthly commitment, you simply pay the same rate for the extra usage. You can also adjust your commitment, as your needs change over time. Please book a demo to discuss our specific pricing options & discounts.

How does Sedai make sure that optimizations never cause availability issues or degrade performance?

Safe optimization is our secret sauce. When Sedai identifies a potential cost or performance improvement, our platform makes that optimization in gradual steps, while continuously validating the impact of the change on your environment. For example, if Sedai determines it can lower the memory limit of a container without impacting performance, it won’t make a big change all at once, from say 12 to 4 GB. Instead, Sedai will gradually lower the memory to achieve maximum cost savings, until the exact point where performance is impacted.

Which cloud providers does Sedai support? And what specific services can Sedai optimize?

Sedai supports the widest range of cloud services & on-prem workloads in our industry. This includes all the major cloud providers: AWS, Microsoft Azure, Google Cloud Platform, & Oracle Cloud Infrastructure. We’re the experts at optimizing Kubernetes — think EKS, AKS, & GKE, as well as on-prem, self-managed clusters. But our platform is unique in going way beyond K8s. Sedai also optimizes storage, data platforms, and AI/ML workloads. Check out our integrations page for the full list.

What makes Sedai different from competitors? Why choose Sedai?

Only Sedai deeply understands how your applications behave, which is why our platform can optimize safely without causing performance or availability issues. Most tools either stop at recommendations or make risky changes based on surface-level metrics like CPU and memory utilization. Sedai goes deeper. Our patented ML models learn what your applications actually need by analyzing traffic patterns, dependencies, and golden signals like latency, errors, traffic, and saturation. That application-aware approach is what makes Sedai safe in production. To date, Sedai has performed more than 25 million optimizations with zero incidents.

Will I be able to control Sedai’s actions? What if we want to roll back a change?

Sedai offers three operating modes that give you full control. In Datapilot mode, Sedai provides read-only recommendations, for you to implement. In Copilot mode, Sedai lets your team approve optimizations with one click, which Sedai then safely executes. Once you trust the platform, you can turn on Autopilot mode for resources or environments that you select, which enables Sedai to make optimizations autonomously. Across the board, Sedai enables your team to instantly roll back a change, schedule maintenance windows, & pause optimizations for any reason.

How does Sedai integrate with our CI/CD pipeline? Does it lead to IaC drift?

Sedai is built to work alongside your existing CI/CD & GitOps workflows. Whenever Sedai optimizes a resource, it automatically opens a pull request in your Git repository reflecting the changes, keeping your IaC in sync across Terraform, Helm, & Kustomize. If your pipeline would otherwise overwrite Sedai's changes, our built-in overwrite protection (including a Kubernetes Admission Controller for GitOps tools like Argo CD or Flux) ensures optimizations are preserved, without disrupting your workflow. The result: full auditability, no hidden drift, & no rip-and-replace required.

What is the difference between an “automated” system and a truly “autonomous” system, like Sedai?

This is the #1 most important question to ask when you’re evaluating any system that will make changes in production, without a human in the loop. Automated systems follow rigid instructions & scripts: “if X, then do Y.” Meanwhile, autonomous systems make decisions in real time to achieve big-picture goals, like upholding your SLO for latency when your website traffic spikes. Sedai is able to make these intelligent, contextual decisions, because our platform uses ML to understand the behavior of your apps. For a deeper answer, check out this in-depth blog.

How do you assess Sedai’s impact on application performance? What metrics does the platform look at?

Sedai uses a combination of metrics to paint a full picture of your application behavior. This includes the “golden signals” of latency, traffic, errors, & saturation — as well as seasonal trends. Our platform integrates with your existing APM tools, and then it applies patented machine learning to develop a thorough understanding of each app & microservice.

Do we have to install agents for Sedai to work?

Sedai offers both agent-based and agentless deployment options, dependent on your use case. For most cloud resources, Sedai connects securely via IAM permissions, without requiring an agent. However, for Kubernetes clusters, we recommend using our Smart Agent for deeper integration. You can also choose agentless setups for AKS, EKS, & GKE clusters, if you prefer. Onboarding is quick — typically just 15 minutes.

I have a technical question that isn’t answered here. Now what?

You can try asking our website chatbot. But the best way is to schedule a meeting with our team. This will be a 30-minute conversation with a technical expert, who can address any question about how Sedai works with your infrastructure and tools.

Optimize

Kubernetes

Only Sedai optimizes your entire stack, from Kubernetes to VMs to tokens. You simply set your goals for cost & performance. Sedai’s agentic platform does the rest, on autopilot.

Prove It

The Best Weapon for Cloud & AI Waste

Sedai lets you finally do something about your massive cloud & AI bills. With zero toil for your team. We use patented agentic AI to learn how your apps & agents behave. This allows Sedai to safely eliminate waste, in real time, all the time. You can start in Copilot — approving each optimization with one click. Then switch to Autopilot when you're ready to go fully autonomous.

Sedai eliminates every source of wasted spend, across the cloud & AI. It takes action in gradual steps, while performing constant safety checks.

Sedai finds the ideal settings for your apps & infrastructure, in real time, based on live data. It lets you deliver the best possible user experience.

Sedai detects & fixes availability issues — before they cause outages. It even predicts how your resource needs will change in the future.

Service Level Objectives - Monitor your resource performance Dashboard UI

Not to brag, but...

The world’s coolest companies love Sedai. Palo Alto Networks. Avis. Experian. HP. These customers trust our platform to manage their critical infrastructure — because we’ve never caused an issue. Never. You can hire an army of SREs. Or you can turn on 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

What customers say

Sedai Ranks #1 in Key Features for Kubernetes Management!

Supercharge Your Stack

Sedai boosts your entire stack to peak performance.

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

Amazon EKS

Azure AKS

Google GKE

Kubernetes

Amazon ECS

AWS Fargate

Openshift

Rancher

IBM Cloud

Alibaba Container

Digital Ocean

VMWare Tanzu

Oracle

Platform9

Sedai is the Safe Way

(Because we literally patented safety.)

Yes, there are other tools that reduce cloud & AI costs. No, they’re not safe in production. Sedai holds eight U.S. patents on the ability to take autonomous action, without ever causing an incident. Zero. That’s a promise only we can make.

See why

We Kill Toil

So engineers can bring new products to life.

Today, engineering teams are still stuck doing repetitive tasks,  like rightsizing resources and firefighting issues. We built Sedai to eliminate this toil — so we can all focus on building new things. Because we’re engineers, too.

Our story