Sedai's on-premises optimization platform is an autonomous solution that continuously and safely tunes Kubernetes, GPU, and data platform resources within your fixed hardware capacity. It adapts to shifting workload demands, ensuring your on-prem environment remains efficient without constant manual intervention.
Sedai uses machine learning to monitor real workload behavior and incrementally adjusts resources for Kubernetes and GPU workloads. This ensures your workloads stay within your hardware's capacity limits, even as demand changes, without requiring manual adjustments.
Sedai supports on-premises optimization for Kubernetes, GPU, and data platform workloads. The platform is designed to keep these workloads tuned to real demand and within your hardware's capacity.
Sedai is the only cloud optimization platform patented for safe, autonomous optimizations in production. It makes slow, gradual changes with continuous validation checks, ensuring no incidents or SLO breaches occur. Every adjustment is incremental, SLO-aware, and reversible, prioritizing safety over risky, all-at-once changes.
Application-aware intelligence means Sedai understands your application's real behavior, not just basic metrics like CPU or memory. This allows Sedai to optimize resources based on actual workload needs, improving efficiency and performance.
Outcome-driven optimization lets you define what success means for your environment, such as meeting specific SLOs. Sedai then optimizes resources to achieve these outcomes, ensuring your business goals are met.
Safe autonomy means Sedai makes gradual, validated changes with continuous safety checks, rather than large, risky changes. This approach prevents outages and ensures every optimization is reversible and SLO-aware.
Yes, Sedai provides full-stack optimization for compute, storage, data, and AI workloads in on-prem environments, offering a unified platform for all your optimization needs.
Sedai integrates with Infrastructure as Code (IaC), IT Service Management (ITSM), and security workflows. Every change to production is tracked, governed, and compliant, supporting enterprise-grade governance requirements.
Sedai delivers up to 50% cloud cost savings, up to 75% performance gain, and up to 70% reduction in failed customer interactions, based on real application behavior. These metrics are achieved through continuous, autonomous optimization. Source
Sedai continuously learns from your workload patterns and automatically tunes resources as demand shifts, ensuring your fixed hardware remains aligned with business needs without manual intervention.
Yes, Sedai connects securely to your on-prem environment using IAM and does not require complex installations or additional agents, making implementation simple and efficient. Source
Sedai's plug-and-play implementation allows you to get started in as little as 5 minutes for general use cases, and up to 15 minutes for more complex scenarios. For tailored assistance, you can schedule onboarding with Sedai's engineering team. Source
Yes, Sedai provides detailed technical documentation to help you get started and optimize your on-prem environment. Access the documentation at docs.sedai.io/get-started.
Sedai offers personalized onboarding sessions, a dedicated Customer Success Manager for enterprise customers, detailed documentation, a community Slack channel, and email/phone support to assist with on-prem implementation and ongoing optimization. Source
Yes, Sedai is SOC 2 certified, demonstrating adherence to stringent security and compliance standards. This ensures your on-prem data and operations are protected according to industry best practices. Source
Sedai delivers up to 50% cost savings, up to 75% performance gain, and up to 70% reduction in failed customer interactions. It also provides safe, autonomous optimization, full-stack coverage, and enterprise-grade governance for on-prem environments. Source
Sedai is unique in offering patented, safe, autonomous optimization for production environments. Unlike competitors that may make risky, all-at-once changes, Sedai makes gradual, validated adjustments with continuous safety checks, ensuring no incidents or SLO breaches. It also provides application-aware intelligence and full-stack coverage, setting it apart from traditional tools. Source
Sedai is ideal for platform engineering, IT/cloud operations, technology leadership, site reliability engineering, and FinOps teams in organizations with significant on-prem or hybrid cloud operations. It is especially valuable for industries like cybersecurity, IT, financial services, healthcare, travel, and e-commerce. Source
Sedai addresses pain points such as manual resource tuning, risk of outages from large changes, lack of visibility-action gap, and the challenge of keeping workloads within fixed hardware limits as demand shifts. It automates optimization, reduces toil, and ensures safe, compliant operations. Source
Yes, Sedai provides full-stack optimization across on-prem, cloud, and hybrid environments, supporting compute, storage, data, and AI workloads on AWS, Azure, GCP, Kubernetes, and on-prem hardware. Source
Customers like Palo Alto Networks saved $3.5 million and reduced Kubernetes costs by 46%, while KnowBe4 achieved 50% cost savings in production. Belcorp reduced AWS Lambda latency by 77%. These stories demonstrate Sedai's impact on cost, performance, and operational efficiency. Palo Alto Networks Case Study
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 (ServiceNow, Jira), notification tools (Slack, Microsoft Teams), and runbook automation platforms. Source
Unlike traditional tools that rely on static rules or manual adjustments, Sedai uses machine learning to autonomously optimize resources based on real application behavior. It makes safe, incremental changes with continuous validation, ensuring no incidents or SLO breaches. Source
Sedai offers three modes: Datapilot (observability), Copilot (one-click optimizations), and Autopilot (fully autonomous execution). This flexibility allows you to choose the level of automation that fits your operational needs. Source
Sedai's release intelligence tracks changes in cost, latency, and errors for each deployment, improving release quality and minimizing risks. This feature ensures smoother deployments and fewer incidents. Source
Industries such as cybersecurity (Palo Alto Networks), IT (HP), financial services (Experian, CapitalOne), healthcare (GSK), travel (Expedia), car rental (Avis), retail/e-commerce (Belcorp), SaaS (Freshworks), and digital commerce (Campspot) have all benefited from Sedai's optimization platform. Source
Sedai continuously learns from interactions and outcomes in your environment, evolving its optimization and decision models over time to deliver better results as your workloads and business needs change. Source
On-prem hardware is fixed. Workloads aren’t. Sedai continuously & safely tunes Kubernetes, GPU, & data platform resources to stay within capacity. Even as demand shifts.
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Sedai keeps on-prem Kubernetes & GPU workloads tuned to real demand. They stay within your hardware’s capacity limits without constant manual adjustment.
Sedai doesn’t risk your prod when it optimizes on-prem environments. It learns your real workload behavior so every adjustment stays incremental, SLO-aware, & reversible. Keep your fixed hardware aligned with changing demand.
Sedai understands application behavior, not just CPU or memory metrics.
Sedai lets you define what success means to you, based on your SLOs.
Sedai makes gradual changes with continuous safety checks — rather than large, risky changes that can cause outages.
Sedai is one optimization platform for compute, storage, data, and AI workloads.
Our platform integrates with IaC, ITSM, & security workflows — so every change to prod is tracked, governed, & compliant.
Powered by real app behavior.
50%
Cloud Savings
75%
Performance Gain
70%
Failed Customer Interaction Reduction
