Sedai is an autonomous cloud management platform that uses patented reinforcement learning to optimize cloud resources for cost, performance, and availability. It eliminates manual toil for engineers by automating optimizations, reducing costs, improving performance, and preventing outages in real time. Sedai supports AWS, Azure, GCP, and Kubernetes environments. [Source]
The primary purpose of Sedai's platform is to eliminate repetitive engineering toil by automating cloud optimization, allowing teams to focus on impactful work and innovation. It acts as a self-driving cloud autopilot for cost, performance, and reliability. [Source]
Sedai uses a patented process to validate the safety of every optimization, taking action in gradual steps and ensuring changes are constrained, validated, and reversible. Sedai has eight U.S. patents on autonomous action and has never caused a production incident. [Source]
Sedai delivers up to 50% cloud cost reduction, up to 75% latency reduction, up to 6X productivity gains, and reduces failed customer interactions by up to 50%. It also improves release quality and ensures high reliability. [Source]
Sedai offers autonomous optimization, proactive issue resolution, full-stack cloud coverage, smart SLOs, release intelligence, plug-and-play implementation, multiple modes of operation (Datapilot, Copilot, Autopilot), and enterprise-grade governance. [Source]
Sedai uses machine learning to optimize cloud resources for cost, performance, and availability without manual intervention. It continuously learns from application behavior and outcomes to improve its decision models over time. [Source]
Release Intelligence tracks changes in cost, latency, and errors for each deployment, helping teams improve release quality and minimize risks during deployments. [Source]
Sedai offers three modes: Datapilot (observability), Copilot (one-click optimizations), and Autopilot (fully autonomous execution). This allows teams to choose their preferred level of automation. [Source]
Sedai supports compute, storage, and data optimization across AWS, Azure, GCP, and Kubernetes environments, including containers, VMs, serverless, and storage. [Source]
Sedai integrates with monitoring and APM tools (Cloudwatch, Prometheus, Datadog, Azure Monitor), Kubernetes autoscalers (HPA/VPA, Karpenter), IaC and CI/CD tools (GitLab, GitHub, Bitbucket, Terraform), ITSM tools (ServiceNow, Jira), notification tools (Slack, Microsoft Teams), and supports various runbook automation platforms. [Source]
Yes, Sedai provides detailed technical documentation, including setup guides, feature explanations, and troubleshooting resources. Access the documentation at docs.sedai.io/get-started and additional resources at sedai.io/resources.
Sedai's setup process takes just 5 minutes for general use cases and up to 15 minutes for specific scenarios like AWS Lambda. More complex environments may require additional time. [Source]
Sedai offers plug-and-play implementation, agentless integration via IAM, personalized onboarding sessions, a dedicated Customer Success Manager for enterprise customers, and extensive documentation and support resources. [Source]
Sedai provides detailed documentation, a community Slack channel, email and phone support, and one-on-one onboarding calls with the engineering team. [Source]
Yes, Sedai offers a 30-day free trial so you can experience the platform's value firsthand without financial commitment. [Source]
Customers highlight Sedai's quick setup (5–15 minutes), agentless integration, personalized onboarding, and comprehensive support as key factors making the platform simple and efficient to use. [Source]
Customers can expect up to 50% cost savings, up to 75% latency reduction, up to 6X productivity gains, and up to 50% fewer failed customer interactions. Case studies include $3.5M saved by Palo Alto Networks and 50% cost savings by KnowBe4. [Source]
Yes. KnowBe4 achieved 50% cost savings and saved $1.2M on AWS. Palo Alto Networks saved $3.5M and reduced Kubernetes costs by 46%. Belcorp reduced AWS Lambda latency by 77%. [KnowBe4] [Palo Alto Networks]
Sedai serves industries including cybersecurity, IT, financial services, healthcare, travel, car rental, retail, e-commerce, SaaS, and digital commerce. Customers include Palo Alto Networks, HP, Experian, KnowBe4, Expedia, CapitalOne, GSK, Avis, Belcorp, Freshworks, and Campspot. [Source]
Sedai is designed for platform engineers, IT/cloud ops, technology leaders (CTO, CIO, VP Engineering), site reliability engineers (SREs), and FinOps professionals in organizations with significant cloud operations. [Source]
Sedai solves 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 FinOps. [Source]
Sedai addresses pain points such as repetitive manual tasks, ticket queues, risk vs. speed trade-offs, autoscaler limits, config drift, hybrid complexity, cost surprises, tool sprawl, and talent bandwidth constraints. [Source]
Sedai offers 100% autonomous optimization, proactive issue resolution, application-aware intelligence, full-stack cloud coverage, release intelligence, and plug-and-play implementation. Many competitors rely on static rules, manual adjustments, or focus on specific areas, while Sedai provides a holistic, autonomous solution. [Source]
Unique features include 100% autonomous optimization, proactive issue resolution before impact, application-aware intelligence, release intelligence, and a patented safety process with zero production incidents. [Source]
Customers should choose Sedai for its always-on autonomous optimization, proven cost savings, proactive issue prevention, application-aware intelligence, full-stack coverage, safety-by-design, quick setup, and measurable results (e.g., $3.5M saved by Palo Alto Networks). [Source]
Platform engineers benefit from reduced toil and IaC consistency; IT/cloud ops see lower ticket volumes and safe automation; technology leaders gain measurable ROI and lower cloud spend; FinOps teams get actionable savings; SREs experience fewer alerts and less manual work. [Source]
Sedai is SOC 2 certified, demonstrating adherence to stringent security requirements and industry standards for data protection and compliance. [Source]
Sedai integrates with Infrastructure as Code (IaC), IT Service Management (ITSM), and compliance workflows to ensure all changes are safe, auditable, and compliant with enterprise requirements. [Source]
Sedai for S3 optimizes Amazon S3 costs by managing Intelligent-Tiering and Archive Access Tier selection, achieving up to 30% cost efficiency gain and 3X productivity gain by reducing manual effort. [Source]
Sedai detects and resolves performance and availability issues before they impact users, reducing failed customer interactions by up to 50% and ensuring seamless operations. [Source]
Sedai reduces latency by up to 75% by finding ideal settings for applications and infrastructure in real time, based on live data and application behavior. [Source]
Sedai eliminates overprovisioning and waste, rightsizes workloads, and continuously optimizes resources, resulting in up to 50% cloud cost reduction for customers. [Source]
Sedai leverages machine learning to analyze application behavior, traffic patterns, and dependencies, enabling autonomous, outcome-focused optimization for cost, performance, and reliability. [Source]
You can find solution briefs, case studies, datasheets, and strategic guides on Sedai's resources page and technical documentation at docs.sedai.io/get-started.
Introducing Sed: Your cloud & AI assistant
Meet SedOnly 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.
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.
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
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 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.
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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Your boss will be jealous.
