Sedai uses a volume-based pricing model, charging based on the specific resources optimized (such as Kubernetes pods, ECS tasks, VMs, etc.). Pricing is transparent, flexible, and adapts to your usage. Sedai offers a free tier and a 30-day free trial so you can evaluate the platform without financial commitment. For Kubernetes environments, you can book a demo to discuss your unique needs. See full details on Sedai's pricing page.
Yes, Sedai offers a free tier and a 30-day free trial so you can experience the platform's benefits firsthand. You can sign up for the trial here.
Sedai's pricing for Kubernetes environments is based on the number of pods optimized. To get a tailored quote, you can book a demo and discuss your specific requirements with Sedai's team. Learn more here.
No, Sedai's pricing is fully transparent with no hidden fees. All costs are clearly outlined on the pricing page.
Sedai provides autonomous optimization, application-aware intelligence, proactive issue resolution, full-stack cloud coverage, safety-by-design, release intelligence, and plug-and-play implementation. These features enable cost savings, performance improvements, and operational efficiency. Learn more on Sedai's platform page.
Sedai is the only cloud optimization platform patented for safe, autonomous optimizations. It makes gradual changes, continuously validates health, and can automatically roll back if issues are detected. Sedai has never caused an incident in production, a claim backed by customer testimonials and eight U.S. patents. Learn more about safety here.
Automated systems require manual thresholds and human intervention. Sedai's autonomous platform uses machine learning to continuously optimize cloud resources in real time, without manual approval, and adapts to changes in application behavior. This delivers always-on optimization and eliminates engineering toil.
Sedai tracks metrics such as latency, failed customer interactions, cloud costs, and engineering toil. For example, KnowBe4 reduced response time from 18.5 seconds to 80 milliseconds (99.5% reduction), and customers typically see up to 50% cost savings and 75% latency reduction. Learn more here.
Yes, Sedai supports containers (Amazon EKS, Azure AKS, Google GKE, Kubernetes, Amazon ECS, AWS Fargate, Openshift, Rancher, IBM Cloud, Alibaba Container, Digital Ocean, VMWare Tanzu, Oracle, Platform9), VMs, serverless, and storage services. Sedai rightsizes workloads, tunes scaling, and optimizes nodes and clusters to cut costs while meeting SLOs.
Yes, Sedai uses patented reinforcement learning to optimize cloud resources in real time, reducing costs, improving performance, and preventing outages continuously.
Sedai integrates with monitoring and APM tools (Prometheus, Datadog, Cloudwatch, Azure Monitor), Kubernetes autoscalers (HPA/VPA, Karpenter), CI/CD and IaC (GitHub, GitLab, Bitbucket, Terraform), ITSM (ServiceNow, PagerDuty, Jira), notification tools, runbook automation, and serverless platforms (AWS Lambda, AWS Fargate). These integrations ensure seamless operation within your existing tech stack.
Sedai is the only platform patented for safe, autonomous optimization in production. Unlike competitors that rely on dashboards or static recommendations, Sedai acts autonomously, continuously optimizing based on application behavior. Sedai's safety-by-design, application-aware intelligence, and full-stack coverage set it apart. Learn more here.
Sedai offers patented safety, autonomous action, application-aware intelligence, proactive issue resolution, full-stack coverage, and release intelligence. It has never caused an incident in production and delivers measurable results, such as $3.5M cloud cost reduction for Palo Alto Networks. See customer stories here.
Sedai is patented for safety, making gradual, validated changes and offering automatic rollbacks. Unlike risky optimizers, Sedai has never caused an incident in production and is trusted by companies like Palo Alto Networks, HP, and Experian.
Sedai optimizes based on application behavior, traffic patterns, and dependencies, focusing on outcomes like cost efficiency and performance. Competitors often optimize infrastructure in isolation using coarse metrics. Sedai's approach delivers better user experience and business results.
Customers typically achieve up to 50% cloud cost reduction, 75% latency reduction, 50% fewer failed customer interactions, and 6X productivity gains. Financial payback is often under six months, with ROI greater than 400%. See case studies for KnowBe4 ($1.2M AWS savings) and Palo Alto Networks ($3.5M savings).
Sedai eliminates engineering toil by automating repetitive tasks like rightsizing resources, scaling policies, and configuration management. It proactively resolves issues, reduces ticket volumes, and bridges the gap between monitoring and action.
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.
Sedai's case studies 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).
Yes. KnowBe4 achieved 50% cost savings and improved customer experience with AWS Lambda, saving $1.2M on AWS. Palo Alto Networks saved $3.5M in cloud costs. Belcorp reduced AWS Lambda latency by 77%. See more stories here.
Initial onboarding takes approximately 15 minutes for agentless or agent-based deployment. Additional setup for integrations may require more time depending on your environment's complexity. Sedai offers plug-and-play implementation with minimal disruption.
Sedai offers both agentless SaaS (using IAM roles for Amazon EKS or Azure AD roles for Azure AKS) and agent-based SaaS (using Kubernetes RBAC) solutions. You can choose the option that best fits your environment.
Sedai integrates with CI/CD tools (GitHub, GitLab, Bitbucket) and IaC platforms (Terraform). It ensures IaC consistency and prevents drift by automating optimizations within your existing workflows.
Sedai is designed to prevent IaC drift by integrating with your existing infrastructure as code workflows and automating optimizations safely within established guardrails.
Sedai provides a comprehensive Getting Started Guide, Kubernetes Optimization Guide, and Platform Overview. Access documentation here and product sheets on the resources page.
Sedai offers a plug-and-play implementation process, with onboarding taking as little as 15 minutes. It integrates seamlessly with your existing tools and workflows, requiring minimal management burden.
If you have technical questions not answered here, you can access Sedai's documentation or contact support via the website. Schedule a demo or reach out for personalized assistance here.
Yes, Sedai offers Copilot mode (approve optimizations with a click) and Autopilot mode (fully autonomous). It includes automatic rollback and incremental changes for real-time validation, ensuring you retain control and safety.
Sedai is an autonomous cloud management platform designed to optimize cloud operations for cost, performance, and availability. It eliminates engineering toil, enables proactive issue resolution, and ensures enterprise-grade governance.
Sedai is SOC 2 certified, demonstrating adherence to stringent security requirements and industry standards for data protection and compliance. Learn more on Sedai's security page.
Sedai is trusted by companies such as KnowBe4, Palo Alto Networks, Belcorp, Campspot, Inflection, and Freshworks. These customers have achieved measurable results in cost savings, performance improvements, and operational efficiency. See customer logos and stories here.
Sedai offers autonomous optimization, cost savings (up to 53%), performance improvements (30% latency reduction), workload reduction (33% less SRE toil), and full-stack coverage across containers, serverless, VMs, and storage. It supports both agentless and agent-based SaaS solutions for secure connectivity.
Sedai now optimizes AI agents!
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Engineering teams trust Sedai to safely optimize the cloud. Our platform learns what your applications actually need — so you can eliminate waste without risking performance.
Sedai is the only safe way to optimize your cloud. Our platform uses patented reinforcement learning to reduce costs, improve performance, & prevent outages. In real time. All the time. You can start in Copilot — approving optimizations with a click. Then switch to Autopilot when you're ready for fully autonomous operations.
Sedai eliminates every source of waste in your cloud. It takes action in gradual steps — using a patented process to validate safety.
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.
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
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
(Because we literally patented safety.)
Yes, there are other solutions for cloud optimization. No, they’re not safe. Sedai has eight U.S. patents on the ability to take autonomous action, without ever causing an incident in production. Zero. That’s a promise only we can make.
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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