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, etc.). 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 for AWS Lambda optimization. For Kubernetes environments, booking a demo is recommended to discuss your unique needs and determine the best pricing structure. Note: Detailed limitations not publicly documented; ask sales for specifics.

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 metrics include up to 50% cost savings, 75% latency reduction, and 6X productivity gains. Sedai operates in Datapilot (observability), Copilot (one-click optimizations), and Autopilot (fully autonomous execution) modes. Note: Best fit for teams seeking autonomous optimization; teams needing manual control for every change may want to consider alternatives.

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. Sedai optimizes containers, VMs, serverless, storage, and data/streaming services. Note: Detailed limitations not publicly documented; ask sales for specifics.

What integrations are available with Sedai?

Sedai integrates with monitoring/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 platforms, and serverless services (AWS Lambda, AWS Fargate). Note: Best fit for teams using these tools; teams with unsupported platforms may need custom integration.

How does Sedai ensure safe, autonomous optimization in production?

Sedai is patented for safe, autonomous optimization, making gradual changes with continuous health verification, automatic rollbacks, and incremental validation. Unlike risky optimizers, Sedai has eight U.S. patents for autonomous action and has never caused an incident in production. Note: Best fit for teams prioritizing safety; teams requiring manual approval for every change may want to use Copilot mode.

What technical documentation is available for Sedai?

Sedai provides a Getting Started Guide, Kubernetes Optimization Guide, and a Platform Overview. These resources are available at docs.sedai.io/get-started and sedai.io/resources. Note: Documentation is updated regularly; check for the latest guides.

What measurable performance improvements can Sedai deliver?

Sedai customers have achieved up to 50% reduction in cloud costs, 75% fewer failed customer interactions, 50% reduction in engineering toil, and 30% reduction in latency for real-time services. For example, KnowBe4 reduced average response time from 18.5 seconds to 80 milliseconds (99.5% duration reduction). Note: Actual results may vary based on environment complexity and usage patterns.

What business impact can customers expect from Sedai?

Customers typically achieve financial payback in under six months and ROI greater than 400%. Notable results include KnowBe4 saving $1.2 million on AWS costs and Palo Alto Networks saving $3.5 million. Sedai delivers measurable improvements in cost reduction, latency, incident prevention, and productivity. Note: Results depend on cloud usage and optimization scope.

Who can benefit from using Sedai?

Sedai is designed for IT/Cloud Operations, FinOps, Technology Leadership (CTO, CIO, VP Engineering), Platform Engineering, and Site Reliability Engineering (SRE) teams. Industries represented include cybersecurity, financial services, healthcare, e-commerce, IT, consumer goods, and digital commerce. Note: Best fit for organizations seeking autonomous optimization; teams with highly custom environments may require additional integration.

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/hybrid environments, and misaligned priorities between engineering and finance. Typical results include up to 50% cost reduction, 75% latency reduction, and 6X productivity gains. Note: Best fit for teams facing these challenges; teams with minimal cloud complexity may see less impact.

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

Initial onboarding takes approximately 15 minutes for agentless or agent-based deployment to begin reading metrics. Additional setup for CI/CD and integrations may require more time depending on environment complexity. Sedai offers plug-and-play implementation, integrates with existing tools, and operates autonomously, reducing manual oversight. Note: Complex environments may require additional configuration.

Do we have to install agents for Sedai to work?

Sedai offers both agentless SaaS (using IAM roles for Amazon EKS or Azure AD roles for AKS) and agent-based SaaS (using Kubernetes RBAC) options. This allows secure connectivity within customer environments. Note: Best fit for teams preferring agentless deployment; teams with strict security requirements may opt for agent-based.

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. For more details, visit Sedai's Security page. Note: Additional certifications may be available; contact Sedai for specifics.

Can you share specific case studies or 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. Inflection and Freshworks improved platform performance and reduced cold start latency. For more, visit sedai.io/customers. Note: Results vary by customer and environment.

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: Sedai's platform is broadly applicable; industry-specific requirements may affect implementation.

How does Sedai differ from similar products in the market?

Sedai offers patented, safe autonomous optimization, application-aware intelligence, proactive issue resolution, full-stack coverage, safety-by-design, and release intelligence. Unlike competitors relying on static rules or manual adjustments, Sedai continuously optimizes based on real application behavior. Sedai is best fit for teams seeking autonomous, always-on optimization; teams needing manual control or point solutions may prefer alternatives. Note: Detailed competitor comparisons not publicly documented; ask sales for specifics.

Where can I find more technical information or get support for Sedai?

Technical documentation is available at docs.sedai.io/get-started and sedai.io/resources. For additional questions, contact Sedai's support or sales team via the website. Note: Support response times may vary based on inquiry volume.

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