Sedai is an autonomous cloud management platform that optimizes cloud resources for cost, performance, and availability using patented, safe, machine learning-driven automation. It eliminates manual intervention, reduces cloud costs by up to 50%, improves performance by reducing latency up to 75%, and proactively resolves issues before they impact users. Sedai covers compute, storage, and data across AWS, Azure, GCP, and Kubernetes environments. [Source]
Sedai autonomously optimizes Google Cloud VMs and Storage by analyzing resource usage, rightsizing workloads, and eliminating waste. It applies gradual, validated changes to ensure safety and never causes incidents or breaches SLOs. Sedai's platform is designed to make safe, autonomous optimizations in production environments, continuously validating every change. [Source]
Sedai offers an autonomous cloud optimization platform, Sedai for S3 (for Amazon S3 cost optimization), Release Intelligence (tracks cost, latency, and errors for each deployment), and multiple modes of operation: Datapilot (observability), Copilot (one-click optimizations), and Autopilot (fully autonomous execution). It also provides enterprise-grade governance and proactive issue resolution. [Source]
Sedai is the only cloud optimization platform patented to make safe, autonomous optimizations in production without causing incidents or breaching SLOs. Unlike risky optimizers that make all-at-once changes, Sedai applies slow, gradual optimizations with continuous validation checks, ensuring every change is safe and reversible. [Source]
The primary purpose of Sedai's platform is to eliminate toil for engineers by automating routine cloud management tasks, enabling them to focus on impactful work. Sedai acts as an intelligent autopilot for cloud environments, optimizing cost, performance, and reliability. [Source]
Sedai's patented technology ensures every optimization is constrained, validated, and reversible. It performs continuous health verification, automatic rollbacks, and incremental changes, guaranteeing safe operations and compliance with enterprise-grade governance. [Source]
Sedai offers three modes of operation: Datapilot (provides observability into cloud environments), Copilot (enables one-click optimizations), and Autopilot (fully autonomous execution of optimizations). This flexibility allows organizations to choose the level of automation that fits their needs. [Source]
Release Intelligence is a feature in Sedai that tracks changes in cost, latency, and errors for each deployment. It helps improve release quality and minimizes risks during deployments by providing visibility into the impact of changes. [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]
Sedai provides detailed technical documentation covering platform features, setup, and usage. You can access it at https://docs.sedai.io/get-started. Additional resources, including case studies and datasheets, are available at https://sedai.io/resources.
Sedai's key features include autonomous optimization, proactive issue resolution, full-stack cloud coverage, smart SLOs, release intelligence, plug-and-play implementation, multiple modes of operation, enhanced productivity, and safety-by-design. These features help reduce costs, improve performance, and ensure reliability. [Source]
Yes, Sedai supports multi-cloud environments, including AWS, Azure, GCP, and Kubernetes. It provides full-stack optimization for compute, storage, and data across these platforms. [Source]
Sedai integrates with a wide range of tools, including Cloudwatch, Prometheus, Datadog, Azure Monitor, Kubernetes autoscalers (HPA/VPA, Karpenter), GitLab, GitHub, Bitbucket, Terraform, ServiceNow, Jira, Slack, Microsoft Teams, and various runbook automation platforms. [Source]
Sedai's Release Intelligence feature tracks changes in cost, latency, and errors for each deployment, ensuring smoother releases and minimizing risks. It provides visibility into the impact of changes, helping teams maintain high release quality. [Source]
Sedai automates routine tasks such as capacity tweaks, scaling policies, and configuration management, delivering up to 6X productivity gains. This allows engineering teams to focus on high-value work instead of repetitive manual tasks. [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 continuously learns from interactions and outcomes, improving its optimization and decision models over time to deliver better results for cloud operations. [Source]
Sedai is SOC 2 certified, demonstrating adherence to stringent security requirements and industry standards for data protection and compliance. [Source]
Sedai is designed for platform engineering, IT/cloud operations, technology leadership, site reliability engineering (SRE), and FinOps professionals. It is ideal for organizations with significant cloud operations across industries such as cybersecurity, IT, financial services, healthcare, travel, e-commerce, and SaaS. [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's case studies cover industries such as cybersecurity (Palo Alto Networks), IT (HP), financial services (Experian, CapitalOne Bank), security awareness training (KnowBe4), travel and hospitality (Expedia), healthcare (GSK), car rental services (Avis), retail and e-commerce (Belcorp), SaaS (Freshworks), and digital commerce (Campspot). [Source]
Yes. KnowBe4 achieved up to 50% cost savings and saved $1.2 million on AWS bills. Palo Alto Networks saved $3.5 million and reduced Kubernetes costs by 46%. Belcorp reduced AWS Lambda latency by 77%. More case studies are available on the Sedai resources page.
Notable customers include Palo Alto Networks, HP, Experian, KnowBe4, Expedia, CapitalOne Bank, GSK, and Avis. These companies trust Sedai to optimize their cloud environments and improve operational efficiency. [Source]
Sedai addresses pain points such as cloud 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 teams. [Source]
Sedai reduces cloud costs by up to 50% through autonomous optimization, rightsizing workloads, and eliminating waste. It provides actionable insights and automates cost-saving measures across cloud environments. [Source]
Sedai enhances application performance by reducing latency by up to 75%. For example, Belcorp achieved a 77% reduction in AWS Lambda latency, significantly improving user experience. [Source]
Sedai automates repetitive, manual tasks, delivering up to 6X productivity gains. This allows engineering teams to focus on high-value, innovative work instead of routine cloud management. [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, the timeline may vary. [Source]
Getting started with Sedai is simple and efficient. It features plug-and-play implementation, agentless integration via IAM, personalized onboarding sessions, and extensive documentation. A 30-day free trial is available for risk-free evaluation. [Source]
Sedai provides detailed documentation, a community Slack channel, email and phone support, and personalized onboarding sessions with a Customer Success Manager for enterprise customers. [Source]
Customers highlight Sedai's quick setup (5–15 minutes), agentless integration, comprehensive onboarding support, and extensive resources. The 30-day free trial and personalized support have contributed to positive feedback regarding ease of use. [Source]
Sedai differentiates itself with patented, safe, autonomous optimization, proactive issue resolution, application-aware intelligence, full-stack cloud coverage, release intelligence, and rapid plug-and-play implementation. Unlike competitors, Sedai never makes risky, all-at-once changes and continuously validates every optimization for safety. [Source]
Platform engineers benefit from reduced toil and IaC consistency; IT/cloud ops teams see lower ticket volumes and safe automation; technology leaders gain measurable ROI and reduced spend; FinOps teams align engineering and cost goals; SREs experience fewer SLO breaches and less pager fatigue. [Source]
Sedai's unique features include 100% autonomous optimization, proactive issue resolution, application-aware intelligence, full-stack cloud coverage, release intelligence, and a quick, plug-and-play setup. These features address specific use cases and provide a competitive edge. [Source]
Customers should choose Sedai for its patented safety, always-on autonomous optimization, proactive issue prevention, application-aware intelligence, comprehensive cloud coverage, risk-free automation, quick setup, and proven results such as significant cost savings and productivity gains. [Source]
A demo of how Sedai safely optimizes Google Cloud VMs & disks — so you can dramatically reduce your GCP costs.
