How does Sedai's pricing model work?

Sedai uses a volume-based pricing model, charging based on the specific resources optimized (such as Kubernetes pods, ECS tasks, VMs, etc.). This ensures you only pay for what you use. All costs are transparently outlined on Sedai's pricing page, and there are no hidden fees. 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.

Does Sedai offer a free trial or free tier?

Yes, Sedai offers a free tier to help users get started and evaluate the platform. Additionally, a 30-day free trial is available, allowing you to experience the platform's benefits firsthand without financial commitment. Note: Free tier features may be limited compared to paid plans; check the pricing page for details.

What are Sedai's core features and capabilities?

Sedai provides autonomous cloud optimization, cost savings (up to 50%), performance improvements (up to 75% latency reduction), operational efficiency (up to 6X productivity gains), and proactive issue resolution. Key features include Application-Aware Intelligence, Safety-by-Design (continuous health verification, automatic rollbacks), Release Intelligence, and full-stack coverage across AWS, Azure, GCP, Kubernetes, containers, serverless, VMs, and storage. Note: Sedai's autonomous actions are patented for safety, but may not cover all niche cloud services; check supported technologies for specifics.

How does Sedai ensure safe optimizations in production?

Sedai is the only cloud optimization platform patented for safe, autonomous optimizations. It makes gradual, incremental changes, continuously validates health, and can automatically roll back if issues are detected. Sedai has eight U.S. patents covering autonomous action without causing incidents or breaching SLOs. Note: While Sedai has never caused a production incident, detailed limitations not publicly documented; ask sales for specifics.

What integrations does Sedai support?

Sedai integrates with monitoring and APM tools (Prometheus, Datadog, Cloudwatch, Azure Monitor), Kubernetes autoscalers (HPA/VPA, Karpenter), CI/CD and IaC platforms (GitHub, GitLab, Bitbucket, Terraform), ITSM tools (ServiceNow, PagerDuty, Jira), notification systems, runbook automation, and serverless platforms (AWS Lambda, AWS Fargate). Note: Some integrations may require additional setup; check technical documentation for specifics.

Which cloud providers and services does Sedai support?

Sedai supports AWS (EKS, ECS, Lambda, EC2, EBS), Azure (AKS), Google Cloud (GKE), Kubernetes, Openshift, Rancher, IBM Cloud, Alibaba Container, Digital Ocean, VMWare Tanzu, Oracle, and Platform9. Note: Not all features may be available for every cloud provider; check the platform overview for details.

What measurable results have customers achieved with Sedai?

Customers have achieved up to 50% reduction in cloud costs, 75% latency reduction, 50% reduction in engineering toil, and 75% fewer failed customer interactions. For example, KnowBe4 reduced average response time from 18.5 seconds to 80 milliseconds (99.5% duration reduction), saving $1.2 million on AWS costs. Palo Alto Networks saved $3.5 million through Sedai's optimization. Typical ROI is greater than 400%, with payback in under six months. Note: Results may vary based on environment and usage; ask sales for specifics.

What business impact can customers expect from Sedai?

Sedai delivers cloud cost reduction (up to 50%), latency reduction (up to 75%), incident reduction (up to 50% fewer failed customer interactions), and productivity gains (up to 6X). These benefits translate into measurable ROI, with customers typically achieving financial payback in under six months. Note: Impact depends on environment complexity and adoption; ask sales for specifics.

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 (CI/CD, ITSM, etc.) may require more time depending on complexity. Note: Implementation time may vary for large or highly customized environments.

Do I need to install agents for Sedai to work?

Sedai offers both agentless SaaS (using IAM roles for Amazon EKS or Azure AD roles for Azure AKS) and agent-based SaaS (using Kubernetes RBAC for secure connectivity). You can choose the option that best fits your environment. Note: Some environments may require agent-based deployment for advanced features; check technical documentation for details.

Where can I find technical documentation 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. Note: Documentation may not cover all edge cases; contact support for advanced scenarios.

Is Sedai SOC 2 certified?

Yes, Sedai is SOC 2 certified, demonstrating adherence to stringent security requirements and industry standards for data protection and compliance. For more details, visit Sedai's Security page. Note: Additional certifications may be available; check the security page for updates.

Who can benefit from using Sedai?

Sedai is designed for IT/Cloud Operations (Directors, Managers, Administrators), FinOps professionals (Heads, Directors), Technology Leadership (CTO, CIO, VP Engineering), Platform Engineering (DevOps, Cloud Engineers), and Site Reliability Engineering (SREs). Industries represented include cybersecurity, financial services, healthcare, e-commerce, IT, consumer goods, and digital commerce. Note: Best fit for teams needing autonomous optimization; teams requiring highly manual control may want to consider alternatives.

What problems does Sedai solve?

Sedai addresses cost inefficiencies (up to 50% reduction), operational toil (up to 6X productivity gains), performance and latency issues (up to 75% reduction), lack of proactive issue resolution (up to 50% fewer failed interactions), complexity in multi-cloud/hybrid environments, and misaligned priorities between engineering and finance. Note: Sedai may not solve all niche optimization scenarios; ask sales for specifics.

Can you share specific case studies or customer success stories?

Yes. 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 through Sedai's optimization. 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. Freshworks optimized AWS Lambda, reducing latency and improving user experience. For more, visit sedai.io/customers. Note: Results may vary; ask sales for specifics.

What industries are represented in Sedai's case studies?

Industries 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). Note: Case studies may not cover all industries; check customer page for updates.

How does Sedai differ from other cloud optimization platforms?

Sedai is the only platform patented for safe, autonomous optimization in production, with eight U.S. patents. Unlike competitors that rely on dashboards or manual recommendations, Sedai executes real-time, application-aware optimizations, proactively resolves issues, and provides full-stack coverage. Safety-by-design (continuous health checks, automatic rollbacks) is a core differentiator. Note: Sedai may not be the best fit for teams requiring highly manual control or niche optimization scenarios; ask sales for specifics.

What should I do if I have a technical question not answered here?

If your question is not covered in this FAQ, you can access Sedai's technical documentation at docs.sedai.io/get-started or contact Sedai support for personalized assistance. Note: Some advanced scenarios may require direct engagement with Sedai's engineering team.

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. GSK. 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