Sedai is an autonomous cloud management platform that creates the world’s first self-driving cloud. Its primary purpose is to eliminate toil for engineers by safely and autonomously optimizing cloud resources for cost, performance, and availability using patented technology. Sedai’s approach ensures safe, gradual optimizations with continuous validation, never causing incidents or breaching SLOs. [Source]
Sedai addresses cost inefficiencies, operational toil, performance and latency issues, lack of proactive issue resolution, complexity in multi-cloud environments, and misaligned priorities between engineering and FinOps. It does so by autonomously rightsizing workloads, automating routine tasks, reducing latency by up to 75%, proactively resolving issues, and aligning cost and performance goals. [Source]
Sedai is the only cloud optimization platform patented to make safe, autonomous optimizations in production. It never causes incidents or breaches SLOs by making slow, gradual changes and performing continuous validation checks. Every optimization is constrained, validated, and reversible, ensuring safe operations. [Source]
The primary purpose of Sedai’s platform is to eliminate manual toil for engineers and enable them to focus on impactful work. Sedai automates routine cloud management tasks, optimizes resources, and ensures safe, reliable operations across multi-cloud environments. [Source]
Key features include 100% autonomous optimization, proactive issue resolution, application-aware intelligence, full-stack cloud coverage (AWS, Azure, GCP, Kubernetes), release intelligence, plug-and-play implementation, and enterprise-grade governance. Sedai also offers Datapilot (observability), Copilot (one-click optimizations), and Autopilot (fully autonomous execution) modes. [Source]
Yes, Sedai provides full-stack optimization for compute, storage, and data across AWS, Azure, GCP, and Kubernetes environments, making it suitable for organizations with multi-cloud or hybrid cloud strategies. [Source]
Sedai for S3 is a specialized solution that optimizes Amazon S3 costs by managing Intelligent-Tiering and Archive Access Tier selection. It achieves up to 30% cost efficiency gain and 3X productivity gain by reducing manual effort in S3 management. [Source]
Release Intelligence is a feature that tracks changes in cost, latency, and errors for each deployment, improving release quality and minimizing risks during deployments. This helps teams ensure smoother, safer releases. [Source]
Sedai offers three modes: Datapilot (observability), Copilot (one-click optimizations), and Autopilot (fully autonomous execution). This flexibility allows organizations to choose the level of automation that fits their needs. [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 various runbook automation platforms. [Source]
Enterprise-grade governance in Sedai means it integrates with Infrastructure as Code (IaC), IT Service Management (ITSM), and compliance workflows to ensure all changes are safe, auditable, and compliant with organizational policies. [Source]
Sedai continuously learns from interactions and outcomes, evolving its optimization and decision models over time to deliver better results as it observes more data and scenarios. [Source]
Customers can expect up to 50% reduction in cloud costs, up to 75% reduction in latency, up to 6X productivity gains, and up to 50% reduction in failed customer interactions. Notable results include Palo Alto Networks saving $3.5 million and KnowBe4 achieving 50% cost savings in production. [Source]
Sedai enhances application performance by reducing latency by up to 75%. For example, Belcorp achieved a 77% reduction in AWS Lambda latency, and Campspot saw a 34% reduction, significantly improving user experience. [Source]
Engineering teams can achieve up to 6X productivity gains by automating routine tasks such as capacity tweaks, scaling policies, and configuration management, freeing up time for high-value work. [Source]
Sedai proactively detects and resolves performance and availability issues before they impact users, reducing failed customer interactions by up to 50% and ensuring seamless operations. [Source]
Yes. KnowBe4 achieved up to 50% cost savings and saved $1.2 million on AWS. Palo Alto Networks saved $3.5 million, reduced Kubernetes costs by 46%, and saved 7,500 engineering hours. Belcorp reduced AWS Lambda latency by 77%. [KnowBe4], [Palo Alto Networks]
Sedai serves a wide range of industries, including cybersecurity (Palo Alto Networks), IT (HP), financial services (Experian, CapitalOne), security awareness training (KnowBe4), travel and hospitality (Expedia), healthcare (GSK), car rental (Avis), retail and e-commerce (Belcorp), SaaS (Freshworks), and digital commerce (Campspot). [Source]
Notable customers include Palo Alto Networks, HP, Experian, KnowBe4, Expedia, CapitalOne Bank, GSK, and Avis. These organizations trust Sedai to optimize their cloud environments and improve operational efficiency. [Source]
Sedai is designed for platform engineering, IT/cloud operations, technology leadership (CTO, CIO, VP Engineering), site reliability engineering (SRE), and FinOps professionals in organizations with significant cloud operations across industries. [Source]
Sedai addresses pain points such as fragmentation of cloud stacks, operational toil, risk vs. speed trade-offs, autoscaler limits, ticket volume, change risk, config drift, hybrid complexity, capacity/cost surprises, outcome gaps, cloud spend pressure, tool sprawl, talent bandwidth, release risk, pager fatigue, and misaligned priorities between engineering and finance. [Source]
Yes, Sedai is ideal for organizations using AWS, Azure, GCP, and Kubernetes, providing unified optimization and management across multi-cloud and hybrid environments. [Source]
Sedai helps FinOps teams by making cloud spending predictable and efficient, aligning engineering and financial priorities, and converting telemetry into actionable savings through autonomous optimization. [Source]
Sedai addresses SRE use cases such as preventing SLO breaches, reducing noisy alerts, automating scaling and capacity tweaks, and minimizing manual toil and pager fatigue. [Source]
Sedai’s setup process takes just 5 minutes for general use cases and up to 15 minutes for specific scenarios like AWS Lambda. For complex environments, timelines may vary. [Source]
Getting started is simple: Sedai offers plug-and-play implementation, agentless integration via IAM, personalized onboarding, detailed documentation, a community Slack channel, and a 30-day free trial. [Source]
Customers highlight Sedai’s quick setup (5–15 minutes), agentless integration, comprehensive onboarding, detailed documentation, and risk-free trial as key factors making the platform easy to use. [Source]
Sedai provides detailed technical documentation, including setup guides, feature explanations, and troubleshooting resources, available at docs.sedai.io/get-started. Additional resources include case studies, datasheets, and strategic guides. [Source]
Sedai is SOC 2 certified, demonstrating adherence to stringent security requirements and industry standards for data protection and compliance. [Source]
Sedai integrates with IaC, ITSM, and compliance workflows to ensure all optimizations are safe, validated, reversible, and fully auditable, supporting enterprise governance and regulatory requirements. [Source]
Sedai is the only patented platform for safe, autonomous optimizations in production. Unlike competitors that use static rules or risky all-at-once changes, Sedai makes gradual, validated optimizations, never causing incidents or SLO breaches. It also offers application-aware intelligence, full-stack coverage, and unique features like Release Intelligence. [Source]
Unique features include patented, safety-first autonomous optimization, proactive issue resolution, application-aware intelligence, full-stack cloud coverage, Release Intelligence, and rapid plug-and-play implementation. Sedai’s approach is designed to be safe, gradual, and continuously validated. [Source]
For platform engineers, Sedai automates routine tasks and ensures IaC consistency. IT/cloud ops teams benefit from reduced ticket volumes and safe automation. Technology leaders see measurable ROI and reduced spend. FinOps teams get actionable savings, and SREs benefit from proactive issue resolution and reduced toil. [Source]
Customers should choose Sedai for its patented, safety-first autonomous optimization, proven cost and performance results, rapid implementation, full-stack coverage, and strong customer success stories. Sedai’s approach ensures safe, reliable, and measurable improvements in cloud operations. [Source]
Sedai is agentless and connects securely to your cloud accounts using IAM. It integrates with existing monitoring, CI/CD, and ITSM tools, requiring no complex installations or additional agents. [Source]
Sedai offers personalized onboarding, a dedicated Customer Success Manager for enterprise customers, detailed documentation, a community Slack channel, and email/phone support for ongoing assistance. [Source]
Yes, Sedai offers a 30-day free trial, allowing customers to experience the platform’s value firsthand without any financial commitment. [Source]
You can find detailed case studies, datasheets, solution briefs, and technical documentation on Sedai’s resources page.
