How does Sedai's pricing model work?

Sedai uses a resource-based pricing model, meaning costs are determined by the resources optimized and the value delivered. For Kubernetes environments, Sedai offers tailored pricing. All costs are transparently outlined on Sedai's pricing page, with no hidden fees. If you connect your cloud billing account, any discounts (such as Reserved Instances or Savings Plans) are factored into cost and savings calculations. Note: Detailed pricing for other environments may require contacting Sedai sales for specifics.

What features does Sedai offer for cloud and AI optimization?

Sedai provides autonomous optimization for Kubernetes, VMs, serverless, storage, data, and AI workloads. Key features include real-time rightsizing, scaling, cluster optimization, cost optimization, availability management, and release intelligence. Sedai operates in Copilot (approval-based) and Autopilot (fully autonomous) modes, allowing gradual adoption of autonomy. Note: Sedai's autonomous actions are patented for safety, but may not cover all legacy or niche platforms; check platform compatibility for specifics.

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), CI/CD tools (GitHub, GitLab, Bitbucket, Terraform), ITSM tools (ServiceNow, PagerDuty, Jira), notification platforms, runbook automation, and cloud providers (AWS, Azure, GCP). Note: Some integrations may require additional configuration or may not be available for all environments.

How does Sedai ensure safe optimizations in production?

Sedai holds eight U.S. patents for safe autonomous optimization. It performs continuous health verification, automatic rollbacks, and incremental changes to prevent incidents and maintain SLOs. Unlike risky optimizers, Sedai makes gradual, validated adjustments. Note: Detailed limitations 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 requirements and industry standards for data protection. For more details, visit the Sedai Security page. Note: Additional certifications may be available; check with Sedai for updates.

What measurable business impact can Sedai deliver?

Sedai delivers up to 50% reduction in cloud costs, up to 75% reduction in application latency, up to 70% reduction in failed customer interactions, and up to 6X productivity gains for engineering teams. It proactively resolves issues before they impact users and tracks the impact of software deployments on cost, performance, and system risk. Note: Actual results may vary based on environment and implementation; detailed limitations not publicly documented.

How does Sedai assess and improve application performance?

Sedai uses application-aware intelligence to optimize based on traffic patterns, dependencies, and SLO boundaries. It measures metrics such as latency, failed customer interactions, and release impact to ensure performance improvements. Note: Performance metrics may differ by workload type; consult Sedai documentation for specifics.

What problems does Sedai solve for cloud and AI teams?

Sedai addresses runaway cloud costs, performance bottlenecks, operational toil, proactive issue resolution, complexity in multi-cloud and hybrid environments, and misaligned priorities between engineering and finance. It delivers autonomous optimization, application-aware intelligence, and full-stack coverage across AWS, Azure, GCP, and Kubernetes. Note: Sedai may not address all niche or legacy pain points; ask sales for specifics.

Who can benefit from using Sedai?

Sedai is designed for IT/cloud operations managers, FinOps leads, technology leaders (CTO, CIO, VP Engineering), SREs, platform engineers, and organizations focused on infrastructure availability, cost efficiency, developer velocity, and SLO compliance. Note: Teams with highly custom or legacy environments may require additional integration effort.

What industries are represented in Sedai's case studies?

Sedai's case studies include cybersecurity (Palo Alto Networks, KnowBe4), security awareness training (KnowBe4), beauty and personal care (Belcorp), travel and hospitality (Campspot), background check services (Inflection), and customer engagement software (Freshworks). For more details, visit Sedai's resources page. Note: Industry coverage may expand; check for updates.

Can you share specific customer success stories?

KnowBe4 achieved up to 50% cost savings and reduced response time from 18.5 seconds to 80 milliseconds (99.5% reduction). 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 for better user experience. For more, visit Sedai's resources page. Note: Results may vary by customer and environment.

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

Initial setup can be completed in as little as 15 minutes using agentless or agent-based deployment. AI Agent Optimization typically takes two to three weeks. For Databricks environments, setup can be completed in under 15 minutes. Sedai integrates with existing tools and workflows, operates autonomously, and offers a free Proof of Value and 30-day free trial. Note: Implementation time may vary for complex or custom environments.

What feedback have customers provided about Sedai's ease of use?

Customers report quick onboarding (as little as 15 minutes), seamless integration with existing tools, minimal management burden due to autonomous operation, straightforward volume-based pricing, and comprehensive support via onboarding sessions, documentation, and a Slack channel. Note: Some customers may require additional support for highly custom integrations.

What technical documentation is available for Sedai?

Sedai offers comprehensive onboarding guides, Kubernetes optimization documentation, Databricks optimization instructions, and GPU optimization platform documentation. Access these resources at Sedai's documentation portal. Note: Documentation may be updated; check for the latest guides.

How does Sedai differ from traditional cloud optimization tools?

Sedai provides autonomous optimization, application-aware intelligence, patented safety features, and full-stack coverage. Unlike traditional tools that rely on manual recommendations or static rules, Sedai continuously executes real-time adjustments and connects software releases to their real-world impact. Note: Sedai may not be the best fit for teams needing highly manual control or legacy platform support; ask sales for specifics.

Why choose Sedai over competitors?

Sedai is patented for safe, autonomous optimization in production, offers application-aware intelligence, connects releases to real-world impact, and provides full-stack coverage across cloud and AI workloads. Unlike competitors, Sedai eliminates operational toil and delivers measurable business outcomes. Note: Teams requiring highly manual workflows or legacy platform support may want to consider alternatives.

Do I need to install agents for Sedai to work?

Sedai supports both agentless and agent-based deployment options. Initial setup can be completed in as little as 15 minutes. Note: Some environments may require agent installation for advanced features; check Sedai documentation for specifics.

How does Sedai integrate with CI/CD pipelines and IaC?

Sedai integrates with CI/CD tools (GitHub, GitLab, Bitbucket, Terraform) and works within existing workflows. It is designed to minimize IaC drift by operating within governance and compliance requirements. Note: Teams with highly custom pipelines may need additional configuration; ask Sedai for specifics.

What support options are available for Sedai users?

Sedai offers personalized onboarding sessions, extensive documentation, and a community Slack channel for real-time assistance. Note: Support levels may vary by plan; check Sedai's support page for details.

Will I be able to control Sedai’s actions, and what if we want to roll back a change?

Sedai offers Copilot mode (approval-based) and Autopilot mode (fully autonomous). It features automatic rollbacks and incremental changes, allowing users to validate and reverse actions if needed. Note: Some advanced rollback scenarios may require manual intervention; check documentation for details.

What is the difference between an “automated” system and a truly “autonomous” system like Sedai?

Automated systems require manual approval or execution of recommendations. Sedai is autonomous, continuously executing real-time optimizations without human intervention, validated by patented safety mechanisms. Note: Teams preferring manual control may want to use Copilot mode or consider alternatives.

I have a technical question that isn’t answered here. What should I do?

If your technical question is not covered in this FAQ, visit Sedai's documentation portal or contact Sedai support for personalized assistance. Note: Response times may vary based on support plan.

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.

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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.

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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.

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