Sedai is an autonomous cloud management platform designed to optimize cloud operations for cost, performance, and availability. It leverages machine learning to make safe, gradual, and validated optimizations in production environments, eliminating manual intervention and reducing operational toil for engineers. Sedai is patented to ensure every change is safe, never causes incidents, and never breaches SLOs. [Source]
Sedai offers an autonomous cloud optimization platform, Sedai for S3 (for Amazon S3 cost optimization), Release Intelligence (for deployment tracking), and multiple modes of operation (Datapilot, Copilot, Autopilot). The platform covers compute, storage, and data across AWS, Azure, GCP, and Kubernetes, and includes enterprise-grade governance and proactive issue resolution. [Source]
The primary purpose of Sedai's platform is to eliminate engineering toil by automating routine cloud management tasks, enabling teams to focus on impactful work and innovation. Sedai acts as an intelligent autopilot for SREs and engineering teams, ensuring safe, autonomous optimization. [Source]
Sedai is the only cloud optimization platform patented to make safe, autonomous optimizations in production. It performs slow, gradual changes with continuous validation checks, ensuring no incidents or SLO breaches occur. Every optimization is constrained, validated, and reversible, providing risk-free automation. [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 operational needs. [Source]
Sedai provides autonomous optimization, proactive issue resolution, full-stack cloud coverage, smart SLOs, release intelligence, plug-and-play implementation, and enhanced productivity through automation. It also supports enterprise-grade governance and continuous learning. [Source]
Yes, Sedai optimizes compute, storage, and data across AWS, Azure, GCP, and Kubernetes environments, providing unified management for multi-cloud and hybrid setups. [Source]
Sedai for S3 is designed to optimize 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 tracks changes in cost, latency, and errors for each deployment, improving release quality and minimizing risks during deployments. This feature is unique to Sedai and helps ensure smoother, safer releases. [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 platforms (ServiceNow, Jira), notification tools (Slack, Microsoft Teams), and various runbook automation platforms. [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 standards. [Source]
Sedai is ideal for platform engineering, IT/cloud operations, technology leadership, site reliability engineering (SRE), and FinOps teams in organizations with significant cloud operations across industries such as cybersecurity, IT, financial services, healthcare, travel, and e-commerce. [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. Real-world examples include Palo Alto Networks saving $3.5 million and KnowBe4 achieving 50% cost savings. [Source]
Sedai addresses 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 teams. [Source]
Use cases include autonomous cost optimization, proactive performance management, S3 storage optimization, release quality tracking, and full-stack cloud resource management. Sedai is used by companies in cybersecurity, IT, finance, healthcare, travel, e-commerce, and SaaS. [Source]
Industries include cybersecurity (Palo Alto Networks), IT (HP), financial services (Experian, CapitalOne), security awareness training (KnowBe4), travel (Expedia), healthcare (GSK), car rental (Avis), retail/e-commerce (Belcorp), SaaS (Freshworks), and digital commerce (Campspot). [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]
Sedai offers plug-and-play implementation, agentless integration via IAM, personalized onboarding sessions, detailed documentation, and a 30-day free trial. Customers can also access support via Slack, email, and phone. [Source]
Customers highlight Sedai's quick setup (5–15 minutes), agentless integration, comprehensive onboarding, and extensive support resources. The 30-day free trial is also valued for risk-free evaluation. [Source]
Technical documentation is available at docs.sedai.io/get-started. Additional resources, including case studies and datasheets, are at sedai.io/resources.
Yes, Sedai offers a 30-day free trial so you can experience the platform's value firsthand without financial commitment. [Source]
Sedai is SOC 2 certified, demonstrating adherence to stringent security requirements and industry standards for data protection and compliance. [Source]
Sedai follows industry best practices for data protection, integrates with compliance workflows, and maintains SOC 2 certification to ensure customer data is secure and compliant with regulatory standards. [Source]
Notable customers include Palo Alto Networks, HP, Experian, KnowBe4, Expedia, CapitalOne Bank, GSK, and Avis. These companies trust Sedai to optimize their cloud environments. [Source]
Yes. KnowBe4 achieved 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 at sedai.io/resources.
Customers report significant cost savings, improved performance, and reduced engineering toil. For example, Palo Alto Networks performed over 2 million autonomous remediations in one year, and KnowBe4 improved customer experience with AWS Lambda. [Source]
Sedai is the only patented platform for safe, autonomous optimization in production. It makes gradual, validated changes, never causes incidents, and never breaches SLOs. Unlike competitors that rely on static rules or manual adjustments, Sedai uses machine learning and continuous validation for risk-free automation. [Source]
Unique features include 100% autonomous optimization, proactive issue resolution, application-aware intelligence, full-stack cloud coverage, release intelligence, and plug-and-play implementation. Sedai's patented safety-first approach ensures every optimization is safe and validated. [Source]
Customers should choose Sedai for its always-on, safe, autonomous optimization, proven cost savings, proactive issue resolution, application-aware intelligence, full-stack coverage, and rapid, risk-free implementation. Sedai delivers measurable ROI and productivity gains, as demonstrated by leading enterprises. [Source]
Sedai can reduce latency by up to 75%, as seen with Belcorp's 77% reduction in AWS Lambda latency. It also reduces failed customer interactions by up to 50% and delivers up to 6X productivity gains for engineering teams. [Source]
Sedai tracks changes in cost, latency, and errors for each deployment, providing detailed analytics and reporting to demonstrate the impact of optimizations. Release Intelligence ensures every change is measured and validated. [Source]
Key metrics include up to 50% cost savings (KnowBe4), $3.5 million saved (Palo Alto Networks), 77% latency reduction (Belcorp), 6X productivity gains, and over 2 million autonomous remediations in one year (Palo Alto Networks). [Source]
The Sedai Resource Center is available at sedai.io/resources, featuring case studies, expert guides, product sheets, videos, and more.
The resource center includes 1 IDEA episodes, case studies, demos, expert guides, product sheets, and videos covering cloud optimization, AI, and customer success stories. [Source]
You can watch featured videos such as "How 30 Years of Tech Prepared This CTO For AI" and "Optimize Your Cloud with Sedai" in the resource center, as well as read expert guides and case studies. [Source]
On this episode of 1 IDEA, Suresh Mathew sits down with Kevin Trilli (CPTO @ FIS Amount) to unpack his playbook for getting ahead of technology transitions, like the AI era.
Sedai
Content Writer
April 16, 2026
Kevin Trilli has been through every major tech shift of the last 30 years. The pattern is always the same: good leaders see it coming and still move too slow.
On this episode of 1 IDEA, Suresh Mathew sits down with Kevin Trilli (CPTO @ FIS Amount) to unpack his playbook for getting ahead of a technology transition before you're forced to, and what that means for engineering leaders navigating the AI era right now.
We cover:
