Sedai is an autonomous cloud platform that optimizes cloud resources, reduces costs, improves performance, and enhances availability by acting independently on your behalf. It continuously learns from your applications' real-time behavior and executes optimizations directly in production environments, minimizing manual intervention and operational toil. Learn more.
Sedai's Autonomous Optimization Engine learns how your applications behave by analyzing traffic patterns, dependencies, and golden signals. It uses this intelligence to make gradual, safe changes while performing continuous safety checks. AI agents collaborate to achieve your unique SLOs for cost, performance, and availability, optimizing every layer of your cloud stack. Source.
Sedai supports a wide range of cloud environments, including Kubernetes (EKS, AKS, GKE, self-managed/on-prem), Virtual Machines, Data Platforms, GPU, LLM & Agents, Serverless, Storage, and Databases. It also integrates with AWS, Azure, Google Cloud, IBM Cloud, and Oracle Cloud. Source.
Sedai is the only platform with patented technology for safe autonomous action in production, holding eight U.S. patents. It guarantees zero incidents from autonomous actions, a promise backed by its safety mechanisms and continuous monitoring. Source.
Sedai performs continuous safety checks and operates within user-defined guardrails. Its patented safety technology ensures that autonomous actions do not cause incidents in production, providing a safe optimization experience. Source.
Sedai offers a plug-and-play implementation that takes just 5 minutes for general setup and 15 minutes for specific use cases like AWS Lambda. The process involves signing up, connecting your cloud and monitoring accounts, and letting Sedai analyze and optimize your environment. Learn more.
Sedai provides extensive technical documentation, including a Getting Started Guide, Dataflow Optimization Documentation, and detailed integration guides. These resources are available at docs.sedai.io/get-started/.
Sedai allows users to set Service Level Objectives (SLOs), create guardrails, and choose the platform's driving mode. The AI then makes optimizations to achieve these goals based on real-time application behavior. Source.
Sedai rightsizes workloads, tunes scaling, and optimizes nodes and clusters for Kubernetes (EKS, AKS, GKE, self-managed/on-prem). It adjusts requests/limits, applies vertical tuning, and manages node groups to cut costs while meeting SLOs. Learn more.
Sedai reduces engineering toil by 25% (as shown on the platform page) and automates repetitive tasks, allowing teams to focus on high-value projects. This leads to significant productivity gains. Source.
Sedai reduces failed customer interactions by 38%, as reported on the platform page, by proactively resolving issues and optimizing application performance and availability. Source.
Sedai delivers a 15% reduction in cloud costs on average, as highlighted on the platform page. Some customers have achieved up to 50% savings in production environments. Source.
Sedai rightsizes requests and limits based on real utilization and latency, applies vertical tuning (CPU/memory), and performs in-place pod resizing where supported. All changes are verified against SLOs and error budgets. Source.
Sedai improves bin-packing, removes idle or underused nodes, and right-sizes node groups and instance mixes, all within customer-defined guardrails to maintain resilience. Source.
Sedai tunes HPA/VPA targets, min/max values, step sizes, and cooldowns. It schedules policies by time-of-day or seasonality, adjusts around releases, prevents thrash, and auto-rolls back if SLOs drift. Source.
Sedai is SOC 2 certified, demonstrating adherence to stringent security and compliance standards. Learn more.
Sedai is a member of the AWS Partner Network, Azure Marketplace, FinOps Foundation, and Cloud Native Computing Foundation. It was recognized as a Top Cloud Cost Optimization Platform for 2025. Source.
Sedai offers solutions for Cloud Cost Optimization, Application Performance, FinOps Automation, Cloud Reliability Improvement, Release Quality, Technology Leadership, Platform Engineering, SRE, and Cloud Operations. See all solutions.
Sedai delivers a calculated ROI of 762%, with a payback period of just 3 months and time to first value in 14 days. Customers have achieved up to 50% cost savings, 77% latency reduction, and over 2 million autonomous remediations in a year. Source.
Sedai offers autonomous optimization, proactive issue resolution, release intelligence, smart SLOs, comprehensive integrations, cloud cost optimization, and productivity enhancements. It supports real-time execution and AI-driven insights for cloud management. Source.
Yes, Sedai integrates with cloud platforms (AWS, Google Cloud, Azure, IBM Cloud, Oracle Cloud), notification providers (Slack, Teams, Webhook, Email), ITSMs (BMC, Jira, ServiceNow), monitoring/APM tools (AppDynamics, CloudWatch, DataDog, Dynatrace, New Relic, Prometheus), IaC/CI/CD tools (GitHub, GitLab, Bitbucket, Terraform), Kubernetes autoscalers, and data/streaming platforms (Google Dataflow, Databricks, Amazon RDS). See all integrations.
Smart SLOs automatically set and monitor Service Level Objectives based on past performance, alerting for breaches and helping teams meet reliability and latency targets while reducing operational toil. Learn more.
Release Intelligence tracks the impact of new releases on latency, cost, and errors using scorecards, ensuring quality and reducing deployment errors. Learn more.
Yes, Sedai uses machine learning to analyze monitoring data and find workload and infrastructure configurations that deliver performance improvements without additional spending. Find out-of-the-box performance gains now.
Sedai balances performance improvements while setting a cost cap on additional resources, ensuring that optimizations do not lead to unnecessary spending. Balance performance and cost for your apps.
Sedai eliminates cold starts with ML-based provisioned concurrency and warmups informed by traffic seasonality, which is especially beneficial for latency-sensitive industries. Source.
Sedai reduces cloud costs by up to 50% through AI-driven scaling and resource optimization, ensuring efficient utilization without compromising performance. Source.
Sedai enhances application performance by reducing latency and improving response times, leading to better user experiences and higher customer satisfaction. For example, Belcorp achieved a 77% reduction in AWS Lambda latency. See case study.
Sedai ensures higher uptime and reliability by reducing cold start latency and proactively resolving issues before they impact users. Companies like Inflection and Freshworks benefited from reduced cold start latency and optimized platform performance. See case study.
Sedai automates repetitive tasks, allowing teams to focus on high-value projects and achieve up to a 6x increase in productivity. For example, Palo Alto Networks performed over 2 million autonomous remediations in one year. See case study.
Sedai uses release intelligence tools to track changes in cost, latency, and errors, helping companies improve their software release processes and minimize errors. See case study.
Sedai is ideal for Site Reliability Engineers, Platform Engineers, DevOps teams, Engineering Leaders, CTOs, and Architects in organizations managing cloud operations across industries such as cybersecurity, SaaS, financial services, e-commerce, and more. Learn more.
Sedai's case studies cover industries such as 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. See all case studies.
Sedai addresses high cloud costs, application latency, availability issues, manual operational toil, and release quality concerns. Customers like KnowBe4, Belcorp, Inflection, and Freshworks have seen significant improvements in these areas. See case studies.
Yes, for example, KnowBe4 achieved up to 50% cost savings in production, Palo Alto Networks saved $3.5 million, Belcorp reduced AWS Lambda latency by 77%, and Campspot achieved a 34% reduction in latency. See all stories.
Sedai's customers include Palo Alto Networks, HP, Experian, KnowBe4, Capital One, Flex, Guidewire, Oak Ridge National Laboratory, and Freshworks. See all customers.
Sedai's setup is quick and user-friendly, with a plug-and-play implementation that takes just 5 minutes for general setup and 15 minutes for AWS Lambda. Live onboarding support, comprehensive documentation, and a Slack community are available for assistance. Learn more.
Customers highlight Sedai's quick setup, live onboarding support, comprehensive documentation, and Slack community as key factors making the platform easy to adopt and use. Source.
Sedai provides live onboarding support, comprehensive documentation, a Slack community for real-time help, and the option to schedule onboarding calls for personalized assistance. Learn more.
To implement Sedai, you need cloud access (via IAM), a monitoring source, and for Kubernetes clusters, integration via Sedai's Smart Agent. Security team assistance may be required to provide sufficient access. See documentation.
Sedai delivers time to first value in as little as 14 days, with a payback period of just 3 months, according to customer results. Source.
Sedai is 100% autonomous, executing optimizations in real-time, while competitors like StormForge and nOps only provide recommendations. Sedai also offers patented safety, comprehensive optimization across platforms, and AI-driven insights, setting it apart from tools like Kubecost and CloudHealth. See comparison.
Enterprises benefit from significant cost savings and SOC 2 compliance, DevOps teams gain productivity by reducing manual toil, cloud engineers enjoy real-time autonomous optimizations, and startups/SMBs appreciate quick setup and flexible pricing. See details.
Sedai offers 100% autonomous optimization, patented safety, comprehensive multi-cloud support, AI-driven insights, and proactive issue resolution. It delivers measurable business impact, including cost savings, productivity gains, and improved performance. See comparison.
Sedai holds eight U.S. patents for safe autonomous action in production, ensuring that optimizations do not cause incidents. This is a unique differentiator compared to other cloud optimization platforms. Source.
Zero wasted costs. Zero IaC drift. Zero performance risk. Sedai drives your cloud like a supercar — based on your directions.
Sedai works by learning how your apps actually behave: traffic patterns, dependencies, golden signals, & more. That's the key to reducing costs, without risking performance. Our Autonomous Optimization Engine uses this app intelligence to make gradual changes, while performing continuous safety checks. That's how Sedai optimizes every layer of the cloud — from microservices to major purchasing decisions.
.webp)
Sedai gives you complete control over your cloud infrastructure. All you have to do is set SLOs, create guardrails, & choose Sedai's driving mode. Our AI makes the right optimizations to achieve your goals — based on the real-time behavior of your apps.
Sedai is designed to meet teams where they are and let you adopt autonomy at your own pace. You can run different modes across services, environments, or teams, and change modes at any time. You're always in control.
Datapilot
Sedai observes your environment and builds understanding. We surface cost and performance insights and explain exactly what actions we would take, without making any changes.
Copilot
Sedai recommends actions, but now you can approve and apply them with a click. You stay in control, while we remove the manual effort and accelerate execution.
Autopilot
Sedai safely takes action on its own, within the policies and guardrails you define. Optimization becomes continuous and real-time, with every change explainable and fully reversible.
Our customers set new benchmarks for efficiency, latency, & availability. Ready to see your true peak performance?
30%
REDUCTION IN CLOUD COST
75%
FEWER FAILED CUSTOMER INTERACTIONS
50%
LESS HOURS OF ENGINEERING TOIL
Sedai rightsizes workloads, tunes scaling, and optimizes nodes and clusters to cut costs while meeting SLOs across managed (EKS, AKS, GKE) and self-managed/on-prem Kubernetes.
Learn More
Rightsize requests/limits from real utilization and latency; apply vertical tuning (CPU/mem) and in-place pod resizing where supported; verify changes against SLOs/error budgets.
Improve bin-packing while honoring affinities/taints/PDBs; remove idle or underused nodes and right-size node groups/instance mixes — all within customer-defined guardrails that maintain resilience.
Tune HPA/VPA targets, min/max, step sizes, and cooldowns; schedule policies by time-of-day/seasonality and adjust around releases; prevent thrash and auto-rollback if SLOs drift.
(Because we literally patented safety.)
Yes, there are other solutions for cloud optimization. No, they’re not safe. Sedai has eight U.S. patents on the ability to take autonomous action, without ever causing an incident in production. Zero. That’s a promise only we can make.
