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, VMs, and more. This ensures you only pay for what you use. All costs are transparently outlined on Sedai's pricing page, with no hidden fees.

Does Sedai offer a free trial or free tier?

Yes, Sedai offers a free tier and a 30-day free trial so you can evaluate the platform's benefits without financial commitment. You can sign up for the trial here.

How can I get a custom pricing quote for my Kubernetes environment?

Sedai recommends booking a demo to discuss your unique needs and determine the best pricing structure for Kubernetes environments. Schedule a demo here.

Are there any hidden fees in Sedai's pricing?

No, Sedai's pricing is fully transparent with no hidden fees. All costs are clearly outlined on the pricing page.

What are Sedai's core features?

Sedai offers autonomous optimization, application-aware intelligence, proactive issue resolution, full-stack cloud coverage, safety-by-design, release intelligence, and plug-and-play implementation. These features enable cost savings, performance improvements, and operational efficiency.

How does Sedai optimize cloud costs?

Sedai eliminates every source of waste in your cloud by rightsizing workloads, tuning scaling, and optimizing nodes and clusters. Customers have achieved up to 50% cost savings through continuous optimization.

How does Sedai improve application performance?

Sedai finds the ideal settings for your apps and infrastructure in real time, based on live data. It reduces latency by up to 75% and enhances responsiveness for customer-facing services.

How does Sedai increase availability and prevent outages?

Sedai detects and fixes availability issues before they cause outages, and predicts how resource needs will change in the future. Its patented safety mechanisms ensure optimizations never cause incidents in production.

What integrations does Sedai offer?

Sedai integrates with monitoring/APM tools (Prometheus, Datadog, Cloudwatch, Azure Monitor), Kubernetes autoscalers (HPA/VPA, Karpenter), IaC & CI/CD (GitHub, GitLab, Bitbucket, Terraform), ITSM (ServiceNow, PagerDuty, Jira), notification tools, runbook automation platforms, and serverless (AWS Lambda, AWS Fargate).

How does Sedai ensure safety during optimization?

Sedai's patented safety mechanisms include continuous health verification, automatic rollbacks, and incremental changes for real-time validation. Sedai has eight U.S. patents for safe autonomous action and has never caused an incident in production.

What is the difference between Sedai's Copilot and Autopilot modes?

Copilot mode allows you to approve optimizations with a click, giving you control over changes. Autopilot mode enables fully autonomous operations, where Sedai acts on your behalf in real time.

How does Sedai prevent configuration drift when integrating with CI/CD pipelines?

Sedai integrates seamlessly with CI/CD pipelines and Infrastructure as Code (IaC) tools, ensuring consistency and preventing configuration drift. It operates within your existing workflows and governance frameworks.

How does Sedai differ from other cloud optimization platforms?

Sedai is the only platform patented for safe, autonomous optimization in production, with zero incidents. Unlike competitors that rely on dashboards or manual recommendations, Sedai executes real-time optimizations autonomously, validates safety, and offers full-stack coverage.

What makes Sedai safer than other cloud optimization solutions?

Sedai's patented safety mechanisms, including continuous health verification and automatic rollbacks, ensure that optimizations never cause incidents or breach SLOs. Sedai has never caused an issue in production, a promise unique to its platform.

How does Sedai's application-aware intelligence compare to traditional tools?

Traditional tools optimize infrastructure using coarse metrics like CPU or memory. Sedai uses application-aware intelligence, understanding traffic patterns, dependencies, and SLO boundaries to optimize for application outcomes and user experience.

Does Sedai offer full-stack optimization compared to point solutions?

Yes, Sedai provides full-stack cloud coverage across compute, Kubernetes, storage, data platforms, and AI/ML workloads, unlike point solutions that focus on specific areas.

How does Sedai's release intelligence feature compare to competitors?

Sedai uniquely connects software releases to their real-world impact, showing teams how deployments affect cost, performance, and system risk. This allows for precise change attribution and smoother releases, a feature not commonly found in other solutions.

What business impact can customers expect from using Sedai?

Customers can expect up to 50% cloud cost reduction, 75% latency reduction, 6X productivity gains, and improved release quality. Typical financial payback is under six months, with ROI greater than 400%.

Who can benefit from Sedai's platform?

Sedai is ideal for IT/cloud operations, FinOps, technology leadership, platform engineering, and site reliability engineering teams across industries like cybersecurity, financial services, healthcare, e-commerce, and IT.

What industries are represented in Sedai's case studies?

Sedai's case studies include 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).

Can you share specific customer success stories?

KnowBe4 achieved up to 50% cost savings and saved $1.2 million on AWS. Palo Alto Networks saved $3.5 million in cloud costs. Belcorp reduced AWS Lambda latency by 77%. Campspot achieved a 34% reduction in AWS Lambda latency.

What measurable outcomes have Sedai customers achieved?

Customers have achieved 30% reduction in cloud costs, 75% fewer failed customer interactions, 50% reduction in engineering toil, and up to 99.5% duration reduction in response times.

How long does it take to implement Sedai?

Initial onboarding takes approximately 15 minutes for agentless or agent-based deployment. Additional setup for integrations may require more time depending on your environment.

How easy is it to start using Sedai?

Sedai offers a plug-and-play implementation process, ensuring minimal disruption during onboarding. It works with your existing tools and workflows, and operates autonomously on behalf of your operations team.

What technical documentation is available for Sedai?

Sedai provides a Getting Started Guide, Kubernetes Optimization Guide, and Platform Overview. Access these resources at docs.sedai.io/get-started and sedai.io/resources.

What are Sedai's implementation options?

Sedai offers agentless SaaS solutions (using IAM roles for Amazon EKS or Azure AD roles for Azure AKS) and agent-based SaaS solutions (using Kubernetes RBAC for secure connectivity).

What security and compliance certifications does Sedai have?

Sedai is SOC 2 certified, demonstrating adherence to stringent security requirements and industry standards for data protection and compliance. Learn more on Sedai's Security page.

How does Sedai ensure enterprise-grade governance?

Sedai integrates with Infrastructure as Code (IaC), IT Service Management (ITSM), and compliance workflows to ensure safe and auditable changes. Features include SLO enforcement, guardrails, and rollback mechanisms.

What is Sedai's primary purpose?

Sedai acts as an autonomous cloud management platform, optimizing cloud operations for cost, performance, and availability. Its goal is to eliminate toil for engineers and enable impactful, innovative work.

How does Sedai assess its impact on application performance?

Sedai measures metrics such as latency, failed customer interactions, engineering toil, and response times. For example, KnowBe4 reduced average response time from 18.5 seconds to 80 milliseconds, a 99.5% duration reduction.

How can I get support or answers to technical questions not covered here?

If you have a technical question that isn't answered here, you can access Sedai's documentation or contact support via the resources page or docs.sedai.io/get-started.

Who are some of Sedai's customers?

Sedai's customers include KnowBe4, Palo Alto Networks, Belcorp, Campspot, Inflection, and Freshworks. These companies have achieved measurable results in cost savings and performance improvements.

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

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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.

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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.

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