Sedai is an autonomous cloud management platform designed to prevent incidents before they occur. For SREs, Sedai detects regressions early and fixes them before they become outages, ensuring reliability and keeping infrastructure intact. It eliminates manual toil by automating routine tasks and proactively resolving issues, allowing SREs to focus on impactful work.
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 makes gradual, incremental optimizations with continuous validation checks. Every action is tested against your SLOs and can be rolled back immediately if reliability is at risk.
Traditional monitoring tools provide visibility but cannot prevent incidents. Sedai goes beyond visibility by autonomously detecting and fixing regressions before they become outages, ensuring reliability and reducing manual intervention for SREs.
Sedai's safety-by-design approach means every optimization is constrained, validated, and reversible. The platform enforces your SLOs, policies, and guardrails, ensuring all autonomous actions are governed and aligned with Infrastructure as Code (IaC) standards.
Application-aware intelligence means Sedai deeply understands your application's behavior, traffic patterns, and dependencies. This allows Sedai to stop regressions before they turn into incidents and optimize for outcomes like cost efficiency and performance, not just infrastructure metrics.
Sedai integrates with Infrastructure as Code (IaC), IT Service Management (ITSM), and compliance workflows to ensure all changes are safe, auditable, and aligned with enterprise policies. Every autonomous action is governed, reversible, and IaC-aligned.
Sedai offers three modes: Datapilot (observability), Copilot (one-click optimizations), and Autopilot (fully autonomous execution). This flexibility allows teams to choose the right level of automation for their needs.
Sedai continuously learns from interactions and outcomes, improving its optimization and decision models over time to deliver better results and adapt to changing environments.
Sedai offers autonomous optimization, proactive issue resolution, application-aware intelligence, enterprise-grade governance, release intelligence, and plug-and-play implementation. These features help SREs prevent incidents, optimize cloud costs, and improve performance and reliability.
Sedai detects and resolves performance and availability issues before they impact users, reducing failed customer interactions by up to 70% and ensuring seamless operations.
Release intelligence tracks changes in cost, latency, and errors for each deployment, improving release quality and minimizing risks during deployments. This feature is especially valuable for SREs managing frequent releases.
Yes, Sedai provides full-stack coverage, optimizing compute, storage, and data across AWS, Azure, GCP, and Kubernetes environments. This makes it suitable for organizations with complex, multi-cloud, or hybrid setups.
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.
Sedai autonomously rightsizes workloads, eliminates overprovisioning, and optimizes resource utilization, reducing cloud costs by up to 50%. For example, KnowBe4 achieved 50% cost savings in production, and Palo Alto Networks saved $3.5 million through Sedai's optimization.
SREs can experience up to 6X productivity gains by automating routine tasks like capacity tweaks, scaling policies, and configuration management, freeing up time for high-value work.
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.
Sedai addresses preventable incidents, operational toil, performance bottlenecks, cost inefficiencies, and the complexity of multi-cloud environments. It automates repetitive tasks, proactively resolves issues, and aligns engineering and cost efficiency objectives.
Sedai is designed for platform engineers, SREs, IT/cloud operations teams, technology leaders (CTO, CIO, VP Engineering), and FinOps professionals in organizations with significant cloud operations across industries such as cybersecurity, IT, financial services, healthcare, travel, and e-commerce.
Customers can expect up to 50% cloud cost savings, 75% latency reduction, 6X productivity gains, and up to 70% reduction in failed customer interactions. These outcomes are backed by case studies from companies like Palo Alto Networks, KnowBe4, and Belcorp.
Sedai is used in 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 (Avis), retail/e-commerce (Belcorp), SaaS (Freshworks), and digital commerce (Campspot).
Yes. KnowBe4 achieved 50% cost savings and saved $1.2 million on AWS. Palo Alto Networks saved $3.5 million and reduced Kubernetes costs by 46%. Belcorp reduced AWS Lambda latency by 77%. See more at Sedai's resources page.
Sedai tracks changes in cost, latency, and errors for each deployment, enabling SREs to detect regressions early and fix them before they become outages. This improves release quality and minimizes risks during deployments.
Sedai automates repetitive, manual tasks such as capacity tweaks, scaling policies, and configuration management, delivering up to 6X productivity gains and allowing SREs to focus on higher-value work.
Sedai's setup process is quick and efficient: 5 minutes for general use cases and up to 15 minutes for specific scenarios like AWS Lambda. For complex environments, timelines may vary. Personalized onboarding is available.
Getting started is simple: Sedai offers plug-and-play implementation, agentless integration via IAM, detailed documentation, a community Slack channel, and a 30-day free trial. Personalized onboarding sessions are available for enterprise customers.
Sedai provides detailed technical documentation covering features, setup, and usage. Access it at docs.sedai.io/get-started. Additional resources include case studies, datasheets, and guides at sedai.io/resources.
Customers praise Sedai's quick setup (5–15 minutes), agentless integration, personalized onboarding, and extensive support resources. The 30-day free trial and dedicated Customer Success Manager for enterprise users are also highly valued.
Sedai connects securely to your cloud accounts using IAM, requiring no complex installations or additional agents. It integrates with your existing monitoring, CI/CD, and ITSM tools for seamless adoption.
Yes, Sedai is SOC 2 certified, demonstrating adherence to stringent security requirements and industry standards for data protection and compliance. Learn more at Sedai's Security page.
Sedai integrates with compliance workflows and enforces enterprise policies through governance features, ensuring all changes are safe, auditable, and aligned with regulatory requirements.
Sedai is uniquely patented for safe, autonomous optimization in production, with continuous validation and rollback capabilities. Unlike competitors that rely on static rules or manual adjustments, Sedai operates autonomously, proactively resolves issues, and optimizes based on application behavior, not just infrastructure metrics.
Sedai offers 100% autonomous optimization, proactive issue resolution, application-aware intelligence, full-stack cloud coverage, release intelligence, and rapid, safe onboarding. These features address SRE-specific pain points like incident prevention, operational toil, and release risk.
Sedai is the only platform patented for safe, autonomous optimizations in production. It makes slow, gradual changes with continuous validation, unlike other solutions that may risk incidents with all-at-once optimizations. Every action is reversible and tested against SLOs.
Sedai's unique features include patented safe autonomy, application-aware intelligence, release intelligence, and plug-and-play implementation. These enable autonomous, outcome-driven optimization at scale, with built-in safeguards and rapid onboarding.
Sedai addresses SRE pain points such as incident prevention, operational toil, release risk, and SLO drift through autonomous optimization, proactive issue resolution, and application-aware intelligence, while ensuring safety and compliance with enterprise policies.
SREs have visibility, but visibility can’t prevent incidents. Sedai can. It detects regressions early and fixes them before they become outages. You stay reliable. Your infra stays intact.
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Trusted by Technology Leaders
Get safe, outcome-driven optimization at scale. Designed to act on real application behavior, with safeguards built into every decision.
Sedai sees failure before you & your tools do. It deeply understands your app’s behavior to stop regressions before they turn into incidents.
Understanding your app means Sedai never makes a blind change. It tests every action against your SLOs, and rolls back immediately if it risks reliability.
Sedai enforces your SLOs, policies, & guardrails. Every autonomous action stays governed, reversible, & IaC-aligned.
Powered by real app behavior.
50%
Cloud Savings
75%
Performance Gain
70%
Failed Customer Interaction Reduction
