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. Pricing details are transparently outlined on Sedai's pricing page, and there are no hidden fees. Note: For Kubernetes environments, Sedai recommends booking a demo to determine the best pricing structure for your needs. Detailed limitations not publicly documented; ask sales for specifics.

Is there a free trial or free tier available for Sedai?

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 Sedai's benefits without financial commitment. Note: Free tier features may be limited compared to paid plans; check the pricing page for specifics.

What are the key features of Sedai's autonomous cloud platform?

Sedai's platform offers autonomous optimization, application-aware intelligence, proactive issue resolution, full-stack cloud coverage, safety-by-design, release intelligence, and plug-and-play implementation. It optimizes compute, storage, and data resources across AWS, Azure, GCP, and Kubernetes environments. Unique features include patented safety mechanisms, continuous health verification, automatic rollbacks, and incremental changes. Note: Sedai's autonomous actions are best suited for environments where gradual, validated optimizations are preferred; teams requiring manual-only control 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, AWS Fargate, Openshift, Rancher, IBM Cloud, Alibaba Container, Digital Ocean, VMWare Tanzu, Oracle, and Platform9. Note: Some integrations may require additional setup or may not be available in all regions; check technical documentation for specifics.

What integrations are available with Sedai?

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 platforms, and serverless services (AWS Lambda, AWS Fargate). Note: Integration depth may vary by platform; consult Sedai's technical documentation for details.

How does Sedai ensure safety and compliance during autonomous optimizations?

Sedai is SOC 2 certified and employs patented safety mechanisms, including continuous health verification, automatic rollbacks, and incremental changes. These features ensure that optimizations do not cause outages or degrade performance. For more details, visit Sedai's Security page. Note: While Sedai is SOC 2 certified, additional compliance requirements may need to be discussed with sales for regulated industries.

What measurable results can customers expect from Sedai?

Customers typically achieve up to 50% cloud cost reduction, 75% latency reduction, and 6X productivity gains. For example, KnowBe4 reduced their AWS bill by $1.2 million and Palo Alto Networks saved $3.5 million. Sedai also delivers up to 75% fewer failed customer interactions and 50% reduction in engineering toil. Note: Actual results may vary based on environment complexity and optimization scope.

Can you share specific customer success stories?

Yes. KnowBe4 achieved 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. For more details, visit Sedai's customer page. Note: Results are specific to each customer and may not be representative for all use cases.

Who can benefit from Sedai's platform?

Sedai is designed for IT/cloud operations managers, FinOps leads, technology leaders (CTO, CIO, VP Engineering), platform engineers, and site reliability engineers (SREs). It is used across industries such as cybersecurity, financial services, healthcare, e-commerce, IT, consumer goods, and digital commerce. Note: Teams with highly manual change control requirements may need to evaluate Sedai's autonomous features for fit.

What core 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 customer interactions), complexity in multi-cloud/hybrid environments, and misaligned priorities between engineering and finance. Note: Sedai's autonomous optimization may not be suitable for teams requiring manual-only control or custom scripting.

What pain points does Sedai address for engineering and operations teams?

Sedai helps reduce ticket volume, automate repetitive tasks, prevent SLO breaches, minimize noisy alerts, bridge the gap between monitoring and action, and align engineering with financial goals. Common pain points include cloud spend pressure, risk and compliance concerns, tool sprawl, talent bandwidth, release risk, toil overload, pager fatigue, brittle automation, change control friction, fragmentation, and visibility-action gap. Note: Some pain points may require additional process changes beyond Sedai's platform.

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 from your environment. Additional setup for CI/CD and other integrations may require more time depending on complexity. Sedai offers plug-and-play implementation and operates autonomously, reducing manual oversight. Note: Complex environments may require additional integration steps; consult Sedai's technical documentation for guidance.

Is technical documentation available for Sedai?

Yes. Sedai provides a comprehensive Getting Started Guide, Kubernetes Optimization Guide, and Platform Overview. These resources are available at docs.sedai.io/get-started and sedai.io/resources. Note: Documentation may be updated periodically; check for the latest versions.

What makes Sedai different from competitors?

Sedai is the only cloud optimization platform with patented safety mechanisms for autonomous action in production, never causing incidents or breaching SLOs. Unlike competitors that rely on dashboards or manual recommendations, Sedai executes real-time, gradual optimizations validated for safety. It offers application-aware intelligence, full-stack coverage, release intelligence, and enterprise-grade governance. Note: Sedai's autonomous approach may not fit teams requiring manual-only control or custom scripting; consult sales for details.

How does Sedai's autonomous optimization differ from automated systems?

Automated systems typically require manual thresholds and intervention, while Sedai's autonomous platform learns from application behavior and continuously adapts, executing optimizations without human oversight. Sedai's patented safety mechanisms ensure gradual, validated changes, preventing outages and SLO breaches. Note: Teams preferring manual control may need to evaluate Sedai's fit for their workflows.

Where can I get support or ask technical questions about Sedai?

If you have technical questions not answered here, you can access Sedai's documentation at docs.sedai.io/get-started or contact Sedai's support team via the website. Note: Response times may vary based on inquiry complexity.

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