Sedai is an autonomous cloud platform that optimizes release quality by linking each release to changes in cost, latency, and errors. It provides deep application knowledge, making it easy to see where behavior diverges from the norm and enabling teams to make informed decisions about follow-up actions. Sedai automatically detects every release and configuration change, providing instant clarity on what changed and when. Source
Sedai automatically detects every release and configuration change across your cloud environment. It provides instant clarity on what changed and when, allowing teams to track the impact of each release on cost, latency, and errors. Source
Release Intelligence is a feature in Sedai that shows how each release affects cost, latency, and errors. It enables teams to track patterns over time, spot regressions early, and understand the impact of every deployment. Source
Sedai uses app-aware intelligence to detect post-release drift and safely fix issues in production. Its patented machine learning understands normal application and infrastructure behavior, flags any drift instantly, and can trigger rollbacks when needed. Source
Sedai provides safe, outcome-driven optimization at scale, acting on real application behavior with safeguards built into every decision. It integrates seamlessly with CI/CD and IaC setups, allowing release quality evaluation without disrupting developer workflows or governance. Source
Sedai offers visibility into release impact across every cloud, enabling teams to spot issues early regardless of where releases are shipped. This ensures comprehensive monitoring and optimization for multi-cloud environments. Source
Sedai helps teams ship faster with confidence by making release impact obvious, reducing failed customer interactions by up to 70%, improving performance by up to 75%, and delivering up to 50% cloud savings. Source
Sedai integrates with CI/CD and Infrastructure as Code (IaC) setups, as well as cloud provider monitoring tools, observability tools, and ITSM & incident management tools. This allows teams to evaluate release quality without disrupting existing workflows or governance. Source
Sedai supports integrations with AWS CloudWatch, Azure Monitor, and Google Cloud Monitoring for comprehensive release quality monitoring. Source
Sedai's patented machine learning understands normal application and infrastructure behavior, instantly flags post-release drift, and triggers rollbacks when necessary. Safeguards are built into every decision to ensure safe, autonomous optimization. Source
Sedai can reduce failed customer interactions by up to 70% by proactively identifying and resolving release-related issues before they affect users. Source
Sedai provides instant visibility into the impact of each release, linking changes to cost, latency, and errors. This makes it easier for teams to evaluate release quality and determine the right follow-up actions. Source
Organizations of all sizes, from startups to large enterprises, benefit from Sedai's release quality optimization, especially those managing complex cloud operations and seeking to improve release reliability, performance, and cost efficiency. Source
Sedai integrates with CI/CD and IaC setups, enabling organizations to evaluate release quality without interfering with developer workflows or breaking governance policies. Source
App-aware optimization means Sedai understands your application's normal behavior and can detect and safely fix issues in production when a release causes drift. Source
Sedai provides clear visibility into release impact, automates detection and remediation of issues, and integrates with existing workflows, enabling teams to ship faster while maintaining high release quality. Source
Sedai uses patented machine learning to understand normal application and infrastructure behavior, detect anomalies, and autonomously remediate issues, ensuring safe and reliable releases. Source
Sedai tracks release impact over time, allowing teams to spot patterns and regressions early, so they can take corrective action before issues escalate. Source
Suresh Sangiah, SVP of Engineering at Palo Alto Networks, stated that Sedai performs autonomous actions that would be impossible for humans to handle due to the large volume of alerts, highlighting the platform's critical role in managing release quality at scale. Source
Sedai offers automatic release detection, release intelligence and trend analysis, app-aware optimization, enterprise-grade governance, safe autonomy, and full-stack cloud coverage. These features work together to provide clear visibility, proactive issue resolution, and safe, autonomous optimization for every release. Source
Yes, Sedai integrates seamlessly with CI/CD and Infrastructure as Code (IaC) setups, enabling organizations to evaluate release quality without disrupting developer workflows or governance. Source
Sedai integrates with notification providers like Slack, Microsoft Teams, Webhook, and Email, as well as ITSM tools such as BMC, Jira, and ServiceNow. This ensures teams are promptly informed about release quality and incidents. Source
Sedai supports integrations with AppDynamics, AWS CloudWatch, DataDog, Dynatrace, New Relic, and Prometheus for comprehensive monitoring and application performance management. Source
Yes, Sedai offers extensive technical documentation, including a Getting Started Guide and detailed resources for optimizing release quality. These resources are available at docs.sedai.io/get-started/.
Sedai is SOC 2 certified, demonstrating adherence to stringent security requirements and industry standards for data protection and compliance. More details are available on the Sedai Security page.
Sedai uses machine learning to analyze monitoring data and find workload and infrastructure configurations that deliver performance improvements while setting a cost cap on additional resources. Source
Yes, Sedai automatically sets and monitors Service Level Objectives (SLOs) based on past performance, alerting teams for breaches and helping maintain release quality. Source
Sedai's plug-and-play implementation takes just 5 minutes for general setup and 15 minutes for specific use cases like AWS Lambda, ensuring minimal disruption to workflows. Source
Sedai provides live onboarding support, comprehensive documentation, a Slack community for real-time assistance, and the option to schedule onboarding calls for personalized help. Source
Sedai solves problems such as lack of visibility into release impact, high cloud costs, application latency, failed customer interactions, and manual toil in release management. It provides autonomous optimization, proactive issue resolution, and clear release intelligence. Source
Site Reliability Engineers, Platform Engineers, DevOps teams, Engineering Leaders, CTOs, and organizations across industries such as cybersecurity, SaaS, financial services, e-commerce, and more can benefit from Sedai's release quality optimization. Source
Customers can expect up to 50% cloud savings, 75% performance gain, 70% reduction in failed customer interactions, and a calculated ROI of 762% with a payback period of just 3 months. Source
Yes, for example, Freshworks optimized its AWS Lambda platform with Sedai, reducing latency and improving user experience. Belcorp achieved a 77% reduction in AWS Lambda latency, and Campspot saw a 34% reduction. Source
Industries include cybersecurity (Palo Alto Networks, KnowBe4), information technology (HP), information services (Experian), financial services (Capital One), SaaS (Freshworks, Inflection), supply chain solutions (Flex), insurance software (Guidewire), scientific research (Oak Ridge National Laboratory), e-commerce, and online travel. Source
Notable customers include Palo Alto Networks, HP, Experian, KnowBe4, Capital One, Flex, Guidewire, Oak Ridge National Laboratory, and Freshworks. Source
Sedai reduces manual toil by over 90%, allowing engineers to focus on high-value tasks. For example, Palo Alto Networks performed over 2 million autonomous remediations in one year using Sedai. Source
Sedai delivers a calculated ROI of 762%, with a payback period of just 3 months and time to first value in 14 days. Source
Sedai reduces cloud costs by up to 50% through AI-driven scaling and resource optimization, ensuring efficient utilization without compromising release performance. Source
Sedai enhances application performance by reducing latency and improving response times, as demonstrated by Belcorp's 77% reduction in AWS Lambda latency and Campspot's 34% reduction. Source
Sedai ensures higher uptime and reliability by reducing cold start latency and proactively resolving issues before they impact users, as seen with Inflection and Freshworks. Source
Sedai stands out with 100% autonomous optimization, comprehensive multi-cloud support, AI-driven insights, proactive issue resolution, and unique features like release intelligence and app-aware optimization. Competitors often focus on recommendations, specific platforms, or monitoring only. Source
Sedai offers autonomous execution, proactive issue resolution, and comprehensive optimization across platforms, making it ideal for enterprises, DevOps teams, and cloud engineers seeking to reduce manual toil and improve release outcomes. Source
Teams ship fast, but you don’t know the impact. Sedai shows exactly what changes in each release, so you know the “how” & “why” to make better decisions.
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Trusted by Industry Leaders
Sedai links each release to changes in cost, latency, & errors with its deep app knowledge. Immediately see where behavior diverges from your norm. Make release evaluations easier. Get the context to determine the right follow-up actions.
Automatic Release Detection
Sedai picks up every release & config change across your cloud automatically. Get instant clarity on what changed & when.
Release Intelligence & Trend Analysis
Your release impact is no longer a black box. Sedai shows how each release affects cost, latency, & errors. Then track patterns over time so you can spot regressions early.
App-Aware Optimization
When a release causes drift, Sedai uses its app-aware intelligence to detect it and safely fix the issue in production.
“As you can imagine, we’ve got a very, very large volume of alerts coming in from our monitoring tools, which is simply impossible for humans to process. This is where AI becomes critical. Sedai [performs] autonomous actions that we wouldn’t be able to handle without it.”
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Suresh Sangiah
SVP of Engineering // Palo Alto Networks
Get safe, outcome-driven optimization at scale. Designed to act on real application behavior, with safeguards built into every decision.
Sedai integrates seamlessly with your CI/CD & IaC setup. It lets you evaluate release quality without touching developer workflows or breaking governance.
Sedai’s patented ML understands your normal app & infra behavior. It flags any post-release drift instantly and triggers rollback when needed.
Sedai gives you one place to see release impact across every cloud, so you can spot issues early, no matter where they ship.
Powered by real app behavior.
50%
Cloud Savings
75%
Performance Gain
70%
Failed Customer Interaction Reduction
Sedai makes your stack smarter and safer.
