Sedai's FinOps Automation is an engineering-friendly platform that brings FinOps and engineering teams together to safely and autonomously optimize cloud costs. It uses real application behavior to drive context-aware decisions, ensuring cost savings for FinOps and reliability for engineers. The platform supports autonomous cost optimization, policy guardrails, and full-stack coverage across compute, storage, data, and Kubernetes environments. Source
Sedai links cloud spend directly to real application behavior, allowing teams to understand where and why costs increase. This approach provides visibility grounded in application context, not just isolated billing data, enabling FinOps to achieve savings with engineering confidence. Source
Sedai provides full-stack coverage, optimizing compute, storage, and data across AWS, Azure, GCP, and Kubernetes environments. This ensures comprehensive optimization for modern cloud-native applications. Source
The primary purpose of Sedai's platform is to eliminate toil for engineers by automating cloud optimization tasks, enabling teams to focus on impactful work rather than manual interventions. It creates a self-driving cloud that autonomously manages cost, performance, and reliability. Source
Sedai enforces policy, budget, and SLO constraints automatically, ensuring that all optimizations are safe, auditable, and aligned with enterprise governance requirements. The platform includes built-in approvals, auditability, and environment-level controls. Source
Autonomous cost optimization in Sedai refers to the platform's ability to safely execute approved cost optimizations across compute, data, storage, and Kubernetes environments without manual effort, while protecting performance and availability. Source
Sedai provides FinOps impact tracking, which measures realized savings and efficiency gains from every automated optimization action, giving teams clear visibility into business outcomes. Source
Sedai offers three modes of operation: Datapilot (observability), Copilot (one-click optimizations), and Autopilot (fully autonomous execution), allowing teams to adopt autonomy at their own pace. Source
Sedai automatically detects unusual spend patterns and cost regressions as they emerge, enabling teams to respond in real time rather than weeks later. Source
Outcome-driven cost optimization means Sedai uses real application behavior to make context-aware decisions that adapt over time, maintaining reliability and aligning with your defined goals. Teams can optimize for cost, performance, or balanced outcomes and apply different goals per workload or environment. Source
Sedai offers cost reporting and allocation, anomaly detection, spend monitoring, commitments and budget tracking, autonomous cost optimization, policy guardrails, FinOps impact tracking, and integrations with ITSM and notification tools. Source
Sedai optimizes spend across compute, Kubernetes, data platforms, storage, and AI workloads, providing a holistic approach rather than focusing on isolated services or teams. Source
Sedai integrates with ServiceNow, Jira, Slack, Microsoft Teams, Cloudwatch, Prometheus, Datadog, Azure Monitor, GitLab, GitHub, Bitbucket, Terraform, and supports various runbook automation platforms. Source More
Sedai enforces policy, budget, and SLO constraints automatically, ensuring that all optimizations are performed within your defined goals and limits, keeping engineering compliant while cutting spend. Source
Release intelligence in Sedai tracks changes in cost, latency, and errors for each deployment, improving release quality and minimizing risks during deployments. Source
Yes, Sedai integrates with Infrastructure as Code tools like Terraform and CI/CD platforms such as GitLab, GitHub, and Bitbucket, enabling seamless workflow automation. Source
Sedai provides detailed technical documentation covering features, setup, and usage. Access the documentation at docs.sedai.io/get-started and explore additional resources at sedai.io/resources.
Yes, Sedai is SOC 2 certified, demonstrating adherence to stringent security and compliance standards. Learn more on the Sedai Security page.
Sedai is designed for platform engineering, IT/cloud operations, technology leadership, site reliability engineering (SRE), and FinOps professionals 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% cloud cost savings, 75% latency reduction, 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 in production. Source
Sedai addresses cost inefficiencies, operational toil, performance and latency issues, lack of proactive issue resolution, complexity in multi-cloud environments, and misaligned priorities between engineering and FinOps teams. Source
Sedai breaks down cloud spend by account, service, workload, and environment, providing clear and consistent attribution for accurate cost allocation and reporting. Source
Sedai's release intelligence tracks changes in cost, latency, and errors for each deployment, ensuring smoother releases and minimizing risks. Companies like Freshworks have benefited from this feature. Source
Notable results include Palo Alto Networks saving $3.5 million, KnowBe4 achieving 50% cost savings, Belcorp reducing AWS Lambda latency by 77%, and Campspot achieving a 34% reduction in Lambda latency. KnowBe4, Palo Alto Networks
Sedai's case studies cover cybersecurity, IT, financial services, security awareness training, travel and hospitality, healthcare, car rental services, retail and e-commerce, SaaS, and digital commerce. Source
Engineering teams can achieve up to 6X productivity gains by automating routine tasks such as capacity tweaks, scaling policies, and configuration management, allowing them to focus on high-value work. Source
Sedai detects and resolves performance and availability issues before they impact users, reducing failed customer interactions by up to 50% and ensuring seamless operations. 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, timelines may vary. Source
Sedai offers plug-and-play implementation, agentless integration via IAM, personalized onboarding sessions, a dedicated Customer Success Manager for enterprise customers, and extensive documentation and support resources. Source
Sedai provides detailed documentation, a community Slack channel, email and phone support, and one-on-one onboarding calls with the engineering team. Source
Yes, Sedai offers a 30-day free trial, allowing users to experience the platform's value firsthand without financial commitment. Source
Customers highlight Sedai's quick setup (5–15 minutes), agentless integration, personalized onboarding, and comprehensive support as key factors making the platform easy to use. Source
Sedai stands out with 100% autonomous optimization, proactive issue resolution, application-aware intelligence, full-stack coverage, release intelligence, and a quick setup process. Unlike competitors that rely on static rules or manual adjustments, Sedai operates autonomously and holistically. Source
Unique features include 100% autonomous optimization, proactive issue resolution, application-aware intelligence, release intelligence, and plug-and-play implementation. These capabilities address specific use cases and provide a competitive edge. Source
Sedai provides tailored benefits for platform engineers, IT/cloud ops, technology leaders, FinOps teams, and SREs by automating routine tasks, reducing ticket volumes, delivering measurable ROI, aligning engineering and cost goals, and proactively resolving issues. Source
Customers should choose Sedai for its autonomous optimization, proactive issue resolution, application-aware intelligence, full-stack coverage, safety-by-design, quick setup, and proven results such as significant cost savings and productivity gains. Source
Sedai's customers include Palo Alto Networks, HP, Experian, KnowBe4, Expedia, CapitalOne Bank, GSK, and Avis, representing a wide range of industries. Source
Suresh Sangiah, SVP of Engineering at Palo Alto Networks, stated: "Sedai has helped us save millions of dollars by optimizing and managing our own back-end services. But most importantly, Sedai allows us to respond in real time when anomalies are detected." Source
You can find detailed case studies and success stories from companies like KnowBe4, Palo Alto Networks, Belcorp, Campspot, Inflection, and Freshworks on the Sedai resources page.
We bring FinOps and engineering together. Sedai deeply understands your apps to safely & autonomously optimize your cloud. FinOps get savings. Engineers get reliability.
.webp)
Trusted by Technology Leaders
Sedai ties cloud spend to real app behavior so teams understand where & why costs increase. With visibility grounded in app context and not isolated billing data, FinOps gets savings and engineering confidence.
Cost Reporting & Allocation
Break down cloud spend by account, service, workload, & environment with clear, consistent attribution.
Anomaly Detection & Spend Monitoring
Automatically detect unusual spend patterns & cost regressions as they emerge, not weeks later.
Commitments, Budgets, & Forecasting
Track commitments, budgets, & projected spend to stay aligned with financial targets.
Sedai is outcome-driven by design. It uses real app behavior to make context-aware decisions that adapt over time & maintain reliability. All based on your defined goals.
- Optimize for cost, performance, or balanced outcomes
- Weigh cost savings against performance impact
- Prioritize actions by measurable business impact
- Apply different optimization goals per workload or environment
 (1).webp)
Sedai turns FinOps insights into action. With SLOs, policies, & approvals built in, teams can safely automate cost optimizations across their cloud stack and adopt autonomy at their own pace.
Autonomous Cost Optimization
Safely execute approved cost optimizations across compute, data, storage, & Kubernetes. All without manual effort.
Budget & Policy Guardrails
Sedai only optimizes within your goals & limits. It enforces policy, budget, & SLO constraints automatically. Keep engineering compliant while cutting spend.
FinOps Impact Tracking
Measure realized savings and efficiency gains from every automated optimization action.
"Sedai has helped us save millions of dollars by optimizing and managing our own back-end services. But most importantly, Sedai allows us to respond in real time when anomalies are detected."
.webp)
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 autonomously executes cost optimizations while protecting performance and availability through SLO-aware, closed-loop safeguards.
Policies, approvals, auditability, & environment-level controls ensure automated savings align with financial & operational governance requirements.
Optimize spend across compute, Kubernetes, data platforms, storage, & AI workloads. Not just isolated services or teams.
Powered by real app behavior.
50%
Cloud Savings
75%
Performance Gain
70%
Failed Customer Interaction Reduction
Sedai makes your stack smarter and safer.
