How much does Sedai cost and how does pricing work?

Sedai uses a volume-based pricing model, charging based on the resources optimized (such as Kubernetes pods, ECS tasks, VMs, etc.). All costs are transparently outlined on Sedai's pricing page, with no hidden fees. Sedai offers a free tier and a 30-day free trial so you can evaluate the platform without financial commitment. For Kubernetes environments, you can book a demo to discuss your unique needs and pricing structure.

Is there a free trial or proof of value for Sedai?

Yes, Sedai offers a free tier and a 30-day free trial so you can experience the platform's benefits firsthand. Additionally, Sedai provides a free Proof of Value to demonstrate measurable outcomes before committing.

How is Sedai's pricing determined for different cloud environments?

Sedai's pricing adapts to your usage and is based on the specific resources optimized, such as Kubernetes pods, ECS tasks, VMs, and more. This ensures you only pay for what you use, making the pricing fair and scalable. For Kubernetes environments, Sedai recommends booking a demo to discuss your unique needs.

Are there any hidden fees or additional costs with Sedai?

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

What features does Sedai offer for cloud optimization?

Sedai provides autonomous optimization, application-aware intelligence, proactive issue resolution, full-stack cloud coverage, safety-by-design, release intelligence, and plug-and-play implementation. Key benefits include up to 50% cost savings, 75% latency reduction, 6X productivity gains, and enterprise-grade governance. Sedai supports compute, storage, and data optimization across AWS, Azure, GCP, and Kubernetes environments.

How does Sedai ensure safe optimizations in production?

Sedai is the only cloud optimization platform patented for safe, autonomous optimizations in production. It makes gradual, incremental changes and performs continuous health verification checks. Features like automatic rollbacks and real-time validation ensure that optimizations never cause incidents or breach SLOs. Sedai holds eight U.S. patents for its safety mechanisms.

What is the difference between an automated system and Sedai's autonomous platform?

Automated systems require manual thresholds and human intervention, often relying on static rules. Sedai's autonomous platform uses patented reinforcement learning to continuously optimize cloud resources in real time, adapting to application needs without manual oversight. It acts on behalf of engineers, ensuring safety and performance.

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%, enhances responsiveness, and proactively resolves issues before they impact users. For example, KnowBe4 reduced their average response time from 18.5 seconds to 80 milliseconds, a 99.5% duration reduction.

What metrics does Sedai use to assess impact on application performance?

Sedai tracks metrics such as latency, response time, failed customer interactions, cloud cost, and engineering toil. Typical results include 30% reduction in cloud costs, 75% fewer failed customer interactions, and 50% reduction in engineering toil. Sedai also provides release intelligence, showing the impact of deployments on cost, latency, and errors.

What integrations does Sedai offer?

Sedai integrates with monitoring and APM tools (Prometheus, Datadog, Cloudwatch, Azure Monitor), Kubernetes autoscalers (HPA/VPA, Karpenter), CI/CD pipelines (GitHub, GitLab, Bitbucket, Terraform), ITSM (ServiceNow, PagerDuty, Jira), notification tools, runbook automation platforms, and serverless (AWS Lambda, AWS Fargate). These integrations ensure seamless operation within your existing technology stack.

Does Sedai support Infrastructure as Code (IaC) and CI/CD workflows?

Yes, Sedai integrates with IaC tools like Terraform and Helm, and CI/CD pipelines such as GitHub, GitLab, and Bitbucket. It ensures consistency and compliance, preventing configuration drift and supporting safe, auditable changes.

Can Sedai operate agentless or does it require agents?

Sedai offers both agentless and agent-based SaaS solutions. Agentless deployment securely connects to your cloud using IAM roles for Amazon EKS or Azure AD roles for Azure AKS. Agent-based deployment uses Kubernetes RBAC for secure connectivity within your environment.

How does Sedai compare to other cloud optimization platforms?

Sedai is the only platform patented for safe, autonomous optimization in production. Unlike competitors that rely on dashboards or manual recommendations, Sedai executes real-time optimizations autonomously, with continuous health checks and automatic rollbacks. Sedai's application-aware intelligence optimizes for user experience and business outcomes, not just infrastructure metrics. It provides full-stack coverage and integrates with enterprise workflows for compliance and governance.

What makes Sedai safer than other cloud optimization solutions?

Sedai holds eight U.S. patents for safe, autonomous optimization. It makes gradual, incremental changes with continuous validation, automatic rollbacks, and health verification. Sedai has never caused an incident in production, a promise unique to its platform.

Why should customers choose Sedai over traditional tools?

Traditional tools provide dashboards or recommendations requiring manual intervention. Sedai offers autonomous optimization, acting in real time without manual approval. Its application-aware intelligence, safety-by-design, full-stack coverage, and release intelligence deliver measurable results in cost, performance, and reliability.

How does Sedai's application-aware intelligence differ from competitors?

Competitors often optimize infrastructure in isolation using coarse metrics like CPU or memory. Sedai's application-aware intelligence understands traffic patterns, dependencies, and SLO boundaries, optimizing for application outcomes and user experience.

What business impact can customers expect from using Sedai?

Customers typically achieve up to 50% cloud cost reduction, 75% latency reduction, 50% fewer failed customer interactions, and 6X productivity gains. Financial payback is often under six months, with ROI greater than 400%. For example, KnowBe4 saved $1.2 million and Palo Alto Networks saved $3.5 million through Sedai's optimization.

What problems does Sedai solve for engineering teams?

Sedai eliminates engineering toil by automating repetitive tasks like rightsizing resources, scaling policies, and configuration management. It proactively resolves issues, reduces ticket volumes, prevents SLO breaches, and bridges the gap between monitoring and action. Teams can focus on innovation instead of firefighting.

Who can benefit from Sedai's platform?

Sedai is designed for IT/cloud operations, FinOps, technology leadership, platform engineering, and site reliability engineering (SRE) roles. It serves organizations in cybersecurity, financial services, healthcare, e-commerce, IT, consumer goods, and digital commerce.

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 improved customer experience with AWS Lambda, saving $1.2 million. 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. Inflection and Freshworks improved platform performance and reduced cold start latency.

How does Sedai help with cloud cost optimization?

Sedai reduces cloud costs by up to 50% through autonomous optimization, rightsizing workloads, and eliminating waste. It continuously adapts to application needs, ensuring resources are used efficiently without risking performance.

How does Sedai improve operational efficiency?

Sedai automates routine tasks like capacity tweaks, scaling policies, and configuration management, delivering up to 6X productivity gains. This frees up engineering teams to focus on innovation and high-value work.

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 may require more time depending on complexity. Sedai's plug-and-play process ensures minimal disruption.

How easy is it to start using Sedai?

Sedai offers a plug-and-play implementation process, working with your existing tools and workflows. It integrates with popular APMs, notification systems, ITSM, and runbook tools. Sedai operates autonomously, reducing the need for manual oversight.

Does Sedai lead to Infrastructure as Code (IaC) drift?

No, Sedai integrates with IaC tools and ensures consistency and compliance, preventing configuration drift and supporting safe, auditable changes.

What technical documentation is available for Sedai?

Sedai offers a comprehensive Getting Started Guide, Kubernetes Optimization Guide, and Platform Overview. These resources help users onboard and maximize the platform's potential.

How does Sedai handle rollbacks and change control?

Sedai features automatic rollbacks and incremental changes, ensuring real-time validation and safety. Continuous health verification prevents unsafe optimizations, and changes are auditable for compliance.

How does Sedai integrate with our CI/CD pipeline?

Sedai integrates with CI/CD pipelines like GitHub, GitLab, and Bitbucket, supporting safe, auditable changes and preventing configuration drift. It works seamlessly with your existing workflows.

What support options are available if I have technical questions?

If you have technical questions not answered here, you can access Sedai's technical documentation or contact support via the website.

What is Sedai's primary purpose?

Sedai is an autonomous cloud management platform designed to optimize cloud operations for cost, performance, and availability. It eliminates engineering toil, enabling teams to focus on innovation rather than manual optimizations.

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.

What are Sedai's core platform capabilities?

Sedai offers autonomous optimization, cost savings, performance improvements, workload reduction, application-aware intelligence, safety-by-design, full-stack coverage, and release intelligence. It supports containers, serverless, VMs, and storage services across major cloud providers.

What modes of operation does Sedai offer?

Sedai offers Datapilot (observability), Copilot (one-click optimizations), and Autopilot (fully autonomous execution). You can start in Copilot, approving optimizations with a click, then switch to Autopilot for fully autonomous operations.

What technologies does Sedai support?

Sedai supports containers (AWS EKS, Kubernetes, AWS ECS), serverless (AWS Lambda), VMs (EC2), storage services (AWS EBS), and integrates with major cloud providers and orchestration platforms.

How does Sedai adapt to changes in microservices and application behavior?

Sedai continuously learns from previous optimizations and dynamically adapts to changes in microservices and application behavior, ensuring optimal performance and cost efficiency.

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.

Amazon EKS

Azure AKS

Google GKE

Kubernetes

Amazon ECS

AWS Fargate

Openshift

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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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Frequently Asked Questions

Pricing & Plans