How does Sedai's pricing model work?

Sedai uses a resource-based pricing model, where costs are determined by the resources optimized and the value delivered. For Kubernetes environments, Sedai offers tailored pricing, and all costs are transparently outlined on the Sedai pricing page. Discounts from cloud billing accounts (such as Reserved Instances or Savings Plans) are factored into cost and savings calculations. Note: Detailed per-unit pricing is not publicly documented; contact Sedai sales for specifics.

What features does Sedai offer for cloud and AI optimization?

Sedai provides autonomous cloud management, including optimization for Kubernetes and serverless workloads, application scaling, cluster optimization, cost optimization, and availability management through autonomous SLO management. Key features include release intelligence (tracking deployment impact on cost, performance, and risk), intelligent topology inference, safety-by-design (continuous health verification, automatic rollbacks, incremental changes), and multiple operation modes (Datapilot, Copilot, Autopilot). Note: Sedai may not be suitable for organizations requiring manual approval for every optimization; autonomy can be adjusted via operation modes.

What integrations does Sedai offer?

Sedai integrates with 12 APMs (including Prometheus, Datadog, AWS CloudWatch, Azure Monitor, Google Cloud Monitoring), Kubernetes autoscalers (HPA/VPA, Karpenter), IaC and CI/CD tools (GitHub, GitLab, Bitbucket, Terraform), ITSM tools (ServiceNow, PagerDuty, Jira), notification platforms, runbook automation, and supports AWS, Azure, and GCP. Note: Integration with tools outside this list is not documented; check with Sedai for specific integration needs.

How does Sedai ensure safe optimizations in production environments?

Sedai holds eight U.S. patents for its safety-by-design approach, enabling autonomous actions without causing incidents. It performs continuous health verification, automatic rollbacks, and incremental changes to ensure optimizations do not breach SLOs or degrade performance. Note: While Sedai's safety mechanisms are patented, organizations with highly custom or regulated environments should validate fit with their compliance teams.

What security and compliance certifications does Sedai have?

Sedai is SOC 2 certified, demonstrating adherence to stringent security and data protection standards. For more details, visit the Sedai Security page. Note: Additional certifications are not publicly documented; contact Sedai for further compliance information.

What measurable business impact can Sedai deliver?

Sedai delivers up to 50% reduction in cloud costs, reduces latency by up to 75%, and cuts failed customer interactions by up to 70%. Engineering teams can achieve up to 6X productivity gains through automation. These outcomes are based on customer deployments and case studies. Note: Actual results may vary depending on environment and implementation; detailed limitations not publicly documented.

How quickly can Sedai be implemented and start delivering value?

Initial setup can be completed in as little as 15 minutes using agentless or agent-based deployment. For AI Agent Optimization, implementation typically takes two to three weeks. Databricks environments can be set up in under 15 minutes. Note: Complex or highly customized environments may require additional integration time.

What technical documentation is available for Sedai?

Sedai provides comprehensive onboarding guides, Kubernetes optimization documentation, Databricks and GPU optimization instructions, all available at docs.sedai.io/get-started. Note: Some advanced or environment-specific documentation may require direct support from Sedai.

Who can benefit from using Sedai?

Sedai is designed for IT/cloud operations managers, FinOps leaders, technology executives (CTO, CIO, VP Engineering), SREs, platform engineers, and organizations focused on cloud cost efficiency, performance, and operational automation. It is used by companies in cybersecurity, security awareness, beauty/personal care, travel/hospitality, background check services, and customer engagement software. Note: Organizations with highly manual or legacy processes may require additional change management to adopt Sedai's autonomous approach.

What problems does Sedai solve for its users?

Sedai addresses runaway cloud costs, performance bottlenecks, operational toil, proactive issue resolution, complexity in multi-cloud/hybrid environments, and misaligned priorities between engineering and finance. It delivers up to 50% cost savings, 75% latency reduction, and 6X productivity gains. Note: Effectiveness may vary for organizations with unique compliance or governance requirements; consult Sedai for fit.

Are there real-world examples of Sedai's impact?

Yes. KnowBe4 achieved up to 50% cost savings and reduced AWS Lambda response time from 18.5 seconds to 80 milliseconds (99.5% reduction). Palo Alto Networks saved $3.5 million using Sedai. Belcorp reduced AWS Lambda latency by 77%, and Campspot achieved a 34% reduction. See more at Sedai's resources page. Note: Results are customer-specific; your outcomes may differ.

How easy is it to get started with Sedai?

Customers report onboarding in as little as 15 minutes, with agentless or agent-based deployment options. Sedai offers personalized onboarding, extensive documentation, and a community Slack channel for real-time support. A 30-day free trial and free Proof of Value are available. Note: Some advanced use cases may require additional setup or support.

What support resources are available for Sedai users?

Sedai provides personalized onboarding, comprehensive technical documentation, and a community Slack channel for real-time assistance. For technical questions not covered in documentation, users can contact Sedai support directly. Note: Response times for support are not publicly documented; verify SLAs with Sedai if required.

How does Sedai differ from other cloud optimization platforms?

Sedai is the only platform with eight U.S. patents for safe, autonomous optimization in production. Unlike competitors that rely on dashboards or manual recommendations, Sedai executes real-time, application-aware optimizations with safety-by-design (continuous health checks, automatic rollbacks, incremental changes). It offers full-stack coverage (compute, storage, data, AI/ML) and tracks release impact on cost and performance. Note: Sedai may not be the best fit for teams requiring manual approval for every change; operation modes allow for phased autonomy.

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