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 needs and determine the best pricing structure.

Is there a free trial or proof of value available?

Yes, Sedai offers a free tier and a 30-day free trial so you can experience the platform's benefits firsthand. You can sign up for the trial here.

How is Sedai's pricing determined for Kubernetes environments?

Sedai recommends booking a demo to discuss your unique Kubernetes environment and determine the best pricing structure. Pricing is based on the volume of resources optimized.

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 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. These features enable cost savings, performance improvements, and operational efficiency.

How does Sedai ensure safe optimizations in production?

Sedai is the only cloud optimization platform patented for safe, autonomous optimizations. It makes gradual changes, continuously validates health, and offers automatic rollbacks and incremental adjustments. Sedai has never caused an incident or breached SLOs in production.

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

Copilot allows you to approve optimizations with a click, giving you control over changes. Autopilot enables fully autonomous operations, where Sedai makes optimizations in real time without manual intervention. You can start in Copilot and switch to Autopilot when ready.

Does Sedai integrate with monitoring, CI/CD, and ITSM tools?

Yes, Sedai integrates with Prometheus, Datadog, Cloudwatch, Azure Monitor, Kubernetes autoscalers (HPA/VPA, Karpenter), GitHub, GitLab, Bitbucket, Terraform, ServiceNow, PagerDuty, Jira, notification tools, runbook automation platforms, AWS Lambda, and AWS Fargate. These integrations ensure seamless operation within your existing workflows.

What technical documentation is available for Sedai?

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

Do I need to install agents for Sedai to work?

Sedai offers both agentless and agent-based SaaS solutions. Agentless connects securely using IAM roles (Amazon EKS) or Azure AD roles (Azure AKS). Agent-based uses Kubernetes RBAC for secure connectivity. You can choose the option that best fits your environment.

How quickly can Sedai be implemented?

Initial onboarding takes approximately 15 minutes for agentless or agent-based deployment. Additional setup for integrations may require more time depending on your environment's complexity. Sedai's plug-and-play process ensures minimal disruption.

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

Sedai integrates with Infrastructure as Code (IaC) tools and CI/CD pipelines, ensuring consistency and compliance. It operates within established guardrails and governance frameworks to prevent configuration drift.

How does Sedai differ from 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 makes gradual, validated changes, never causing incidents or SLO breaches. It offers application-aware intelligence, full-stack coverage, and release intelligence.

Why should I choose Sedai over other solutions?

Sedai offers autonomous action, application-aware intelligence, safety-by-design, full-stack coverage, and release intelligence. It delivers measurable results in cost savings, performance, and operational efficiency, with proven customer outcomes and patented safety.

What makes Sedai safer than other cloud optimization tools?

Sedai holds eight U.S. patents for safe, autonomous action in production. It performs continuous health verification, automatic rollbacks, and incremental changes, ensuring zero incidents and SLO breaches. No other platform can make this safety promise.

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

Sedai optimizes based on application behavior, traffic patterns, and dependencies, focusing on outcomes like cost efficiency and performance. Competitors typically optimize infrastructure in isolation using coarse metrics. Sedai's approach delivers better user experience and business results.

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 up to 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.

What problems does Sedai solve for engineering teams?

Sedai eliminates repetitive tasks (toil), automates rightsizing and scaling, proactively resolves issues, and bridges the gap between monitoring and action. This frees engineers to focus on innovation and new product development.

Who can benefit from Sedai's platform?

Sedai is ideal 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 are some real-world results Sedai customers have achieved?

KnowBe4 reduced response time from 18.5 seconds to 80 milliseconds (99.5% reduction), saved $1.2 million on AWS costs, and achieved 50% cost savings. Palo Alto Networks saved $3.5 million. Belcorp reduced AWS Lambda latency by 77%. Campspot achieved a 34% reduction in AWS Lambda latency.

What industries are represented in Sedai's case studies?

Sedai's case studies cover 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).

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 aligns engineering and financial goals, making cloud spend predictable and efficient.

How does Sedai improve application performance?

Sedai reduces latency by up to 75%, enhances responsiveness, and proactively resolves issues before they impact users. It finds ideal settings for apps and infrastructure in real time based on live data.

What are Sedai's security and compliance certifications?

Sedai is SOC 2 certified, demonstrating adherence to stringent security requirements and industry standards for data protection and compliance.

How does Sedai connect securely to customer environments?

Sedai connects securely using IAM roles for Amazon EKS or Azure AD roles for Azure AKS (agentless), or Kubernetes RBAC for agent-based deployments. This ensures secure connectivity and compliance with enterprise requirements.

How does Sedai handle rollbacks and change control?

Sedai features automatic rollbacks and incremental changes, ensuring real-time validation and safety. You can control actions in Copilot mode and roll back changes if needed.

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

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

How does Sedai predict future resource needs?

Sedai uses patented reinforcement learning and application-aware intelligence to forecast resource requirements, ensuring optimal performance and availability while preventing outages.

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

You can access Sedai's technical documentation at docs.sedai.io/get-started or contact Sedai directly for support. Schedule a demo or reach out via the website for personalized assistance.

What is Sedai's autonomous cloud platform?

Sedai's autonomous cloud platform optimizes cloud operations for cost, performance, and availability using machine learning. It manages production environments without manual thresholds or intervention, delivering measurable business value.

How does Sedai's patented reinforcement learning work?

Sedai uses patented reinforcement learning to continuously adapt to changes in microservices, learning from previous optimizations and acting autonomously to optimize cloud resources safely and efficiently.

What are Sedai's core platform capabilities?

Sedai offers autonomous optimization, cost savings (up to 53%), performance improvements (30% latency reduction), workload reduction (33% less SRE toil), and full-stack coverage across containers, serverless, VMs, and storage services.

What are Sedai's supported technologies?

Sedai supports containers (AWS EKS, Kubernetes, AWS ECS), serverless (AWS Lambda), VMs (EC2), and storage services (AWS EBS), providing optimization across AWS, Azure, GCP, and Kubernetes environments.

What are Sedai's modes of operation?

Sedai offers Datapilot (observability), Copilot (one-click optimizations), and Autopilot (fully autonomous execution), allowing teams to choose their preferred level of automation and control.

How does Sedai track the impact of software releases?

Sedai's release intelligence connects software releases to real-world impact, tracking changes in cost, latency, and errors for each deployment. This enables precise change attribution and smoother releases.

Who are some of Sedai's customers?

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

Self-Driving Cloud

Your Cloud on Autopilot

Sedai is the only safe way to optimize your cloud. Our platform uses patented reinforcement learning to reduce costs, improve performance, & prevent outages. In real time. All the time. You can start in Copilot — approving optimizations with a click. Then switch to Autopilot when you're ready for fully autonomous operations.

Sedai eliminates every source of waste in your cloud. It takes action in gradual steps — using a patented process to validate safety.

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.

Cost Saving Opportunities dashboard displaying various options

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 solutions for cloud optimization. No, they’re not safe. Sedai has eight U.S. patents on the ability to take autonomous action, without ever causing an incident in production. 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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