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 so you can 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 are the core features of Sedai's autonomous cloud platform?

Sedai's platform offers autonomous optimization for cloud operations, focusing on cost, performance, and availability. Key features include: Autonomous optimization using patented reinforcement learning; Application-aware intelligence that adapts to microservice changes; Continuous cost savings (up to 53%) and latency reduction (up to 75%); Operational modes: Datapilot (observability), Copilot (one-click optimizations), and Autopilot (fully autonomous execution); Release Intelligence for tracking deployment impact; Safety-by-design with continuous health verification, automatic rollbacks, and incremental changes; Full-stack coverage across compute, storage, data, and AI/ML workloads. Note: Sedai may not be suitable for organizations requiring manual-only control over all optimizations. Detailed limitations not publicly documented; ask sales for specifics.

Which cloud providers and technologies does Sedai support?

Sedai supports a wide range of cloud providers and technologies, including AWS (EKS, ECS, Lambda, EC2, EBS), Azure (AKS), Google Cloud (GKE), Kubernetes, AWS Fargate, Openshift, Rancher, IBM Cloud, Alibaba Container, Digital Ocean, VMWare Tanzu, Oracle, and Platform9. This broad support enables optimization across containers, VMs, serverless, and storage services. Note: Some advanced features may be limited to specific platforms; check with Sedai for compatibility details.

What integrations does Sedai offer?

Sedai integrates with a variety of tools and platforms, including: Monitoring & APM: Prometheus, Datadog, Cloudwatch, Azure Monitor; Kubernetes Autoscalers: HPA/VPA, Karpenter; Infrastructure as Code & CI/CD: GitHub, GitLab, Bitbucket, Terraform; ITSM: ServiceNow, PagerDuty, Jira; Notifications: Multiple notification tools; Runbook Automation: Supported platforms for operational tasks; Serverless: AWS Lambda, AWS Fargate. Note: Integration depth may vary by tool; confirm with Sedai for your specific environment.

How does Sedai ensure safe, autonomous optimization in production?

Sedai is the only cloud optimization platform with eight U.S. patents for safe, autonomous action in production. It performs gradual, incremental optimizations with continuous health verification and automatic rollbacks, ensuring no incidents or SLO breaches. This safety-by-design approach addresses the main risk of automation-related outages. Note: While Sedai has never caused a production incident according to customer case studies, detailed limitations are not publicly documented; ask sales for specifics.

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: Additional certifications may not be publicly documented; contact Sedai for the latest compliance information.

How long does it take to implement Sedai, and how easy is it to get started?

Initial onboarding with Sedai takes approximately 15 minutes for agentless or agent-based deployment to begin reading metrics from your environment. Additional setup for CI/CD and other integrations may require more time depending on your environment's complexity. Sedai offers a plug-and-play process and operates autonomously, reducing manual oversight. Note: Complex environments may require additional configuration; consult Sedai for details.

Does Sedai require agents to be installed?

Sedai supports both agentless and agent-based SaaS deployment options. 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 may depend on your organization's security policies and cloud environment.

Where can I find technical documentation for Sedai?

Sedai provides comprehensive technical documentation, including a Getting Started Guide, Kubernetes Optimization Guide, and a Platform Overview. Access these resources at docs.sedai.io/get-started and the Sedai resources page. Note: Some advanced topics may require direct support from Sedai.

What business impact can customers expect from using Sedai?

Customers typically achieve up to 50% cloud cost reduction, 75% latency reduction, and 6X productivity gains by automating routine tasks. Sedai also reduces failed customer interactions by up to 50% and delivers measurable ROI, with financial payback in under six months and 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 based on environment and usage; detailed limitations not publicly documented.

What problems does Sedai solve for engineering and operations teams?

Sedai addresses cost inefficiencies, operational toil, performance and latency issues, lack of proactive issue resolution, complexity in multi-cloud and hybrid environments, and misaligned priorities between engineering and finance. By automating optimization and aligning business goals, Sedai helps teams reduce costs, improve performance, and focus on innovation. Note: Sedai may not address all organization-specific challenges; consult with Sedai for a tailored assessment.

Who can benefit from using Sedai?

Sedai is designed for IT/Cloud Operations, FinOps, Technology Leadership, Platform Engineering, and Site Reliability Engineering (SRE) roles. It is used by organizations in cybersecurity, financial services, healthcare, e-commerce, IT, consumer goods, and digital commerce. Note: Organizations with highly specialized or legacy environments may require additional integration work.

Can you share specific case studies or customer success stories?

Yes. Notable examples include: KnowBe4: Achieved up to 50% cost savings and saved $1.2 million on AWS bills (case study). Palo Alto Networks: Saved $3.5 million in cloud costs (case study). 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 (Inflection, Freshworks). Note: Results are specific to each customer environment; not all organizations will achieve identical outcomes.

What industries are represented in Sedai's customer base?

Sedai's customers span cybersecurity (e.g., Palo Alto Networks, KnowBe4), financial services (Experian), healthcare, e-commerce (Wayfair, Campspot), IT and technology (HP, Freshworks), consumer goods (Belcorp), and digital commerce (Informed). This demonstrates Sedai's applicability across diverse sectors. Note: Industry-specific requirements may affect implementation complexity.

How does Sedai differ from other cloud optimization platforms?

Sedai is the only platform with patented, safe autonomous optimization in production, never causing an incident or SLO breach. Unlike competitors that rely on dashboards or static recommendations, Sedai acts autonomously, adapts to application behavior, and provides full-stack coverage (compute, storage, data, AI/ML). Key differentiators include safety-by-design, application-aware intelligence, and release intelligence. Note: Sedai may not be the best fit for organizations requiring manual approval for every optimization; detailed limitations not publicly documented.

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