Sedai is an autonomous cloud platform designed to optimize cloud operations for cost, performance, and availability. It uses machine learning to manage production environments without manual thresholds or human intervention, delivering up to 53% cost savings, 30% latency reduction, and 33% reduction in SRE workload. Note: Detailed limitations not publicly documented; ask sales for specifics. Source
Sedai's FinOps automation offers autonomous cost optimization, cost reporting and allocation, anomaly detection, spend monitoring, commitments and budget tracking, and policy guardrails. It ties cloud spend to real application behavior, enabling context-aware decisions and safe, automated optimizations with SLOs, policies, and approvals built in. Note: Best fit for organizations seeking autonomous optimization; teams requiring manual-only controls may want to consider alternatives. Source
Sedai is designed with safety as a core principle. It uses SLO-aware, closed-loop safeguards, continuous health verification, automatic rollbacks, and incremental changes to ensure that optimizations do not cause incidents or breach SLOs. All actions are governed by policies, approvals, and auditability features. Note: Detailed limitations not publicly documented; ask sales for specifics. Source
Sedai uses a volume-based pricing model, charging based on the resources optimized (such as Kubernetes pods, ECS tasks, VMs, etc.). Pricing is transparent, adapts to your usage, and includes a free tier and a 30-day free trial. For Kubernetes environments, a demo is recommended to determine the best pricing structure. Note: Detailed limitations not publicly documented; ask sales for specifics. Source
Sedai integrates with monitoring and APM tools (Prometheus, Datadog, Cloudwatch, Azure Monitor), Kubernetes autoscalers (HPA/VPA, Karpenter), IaC and CI/CD tools (GitHub, GitLab, Bitbucket, Terraform), ITSM platforms (ServiceNow, PagerDuty, Jira), notification tools (Slack, Microsoft Teams), runbook automation, and serverless platforms (AWS Lambda, AWS Fargate). Note: Some integrations may require additional setup time depending on environment complexity. Source
Sedai provides a Getting Started Guide, a Kubernetes Optimization Guide, and a Platform Overview. These resources are available at docs.sedai.io/get-started and sedai.io/resources. Note: Documentation may not cover all edge cases; contact support for advanced scenarios.
Sedai is SOC 2 certified, demonstrating adherence to stringent security requirements for data protection and compliance. More details are available on the Sedai Security page. Note: Additional certifications may not be available; check with sales for the latest compliance status.
Sedai addresses cost inefficiencies, operational toil, performance and latency issues, lack of proactive issue resolution, complexity in multi-cloud and hybrid environments, and misaligned priorities between teams. It automates routine tasks, reduces cloud costs by up to 50%, and improves performance by reducing latency up to 75%. Note: Best fit for teams seeking automation; organizations with strict manual controls may need to evaluate fit. Source
Sedai is designed for IT/Cloud Operations, FinOps, Technology Leadership, Platform Engineering, and Site Reliability Engineering (SRE) roles. It is used by organizations in cybersecurity, financial services, healthcare, e-commerce, IT, consumer goods, and digital commerce. Note: Teams with highly specialized or legacy environments may require additional integration work. Source
Customers typically achieve up to 50% cloud cost reduction, 75% latency reduction, 6X productivity gains, and a financial payback in under six months with ROI greater than 400%. For example, KnowBe4 saved $1.2 million on AWS costs, and Palo Alto Networks saved $3.5 million. Note: Actual results may vary based on environment and implementation. KnowBe4 Case Study, Palo Alto Networks Case Study
Initial onboarding takes approximately 15 minutes for agentless or agent-based deployment to begin reading metrics. Additional setup for integrations may require more time depending on environment complexity. Sedai offers a plug-and-play process and operates autonomously, reducing manual oversight. Note: Complex environments may require additional configuration. Source
Yes. KnowBe4 achieved up to 50% cost savings and saved $1.2 million on AWS, Palo Alto Networks saved $3.5 million, Belcorp reduced AWS Lambda latency by 77%, and Campspot achieved a 34% reduction in AWS Lambda latency. More case studies are available at sedai.io/customers. Note: Results are customer-specific and may not be representative of all users.
Sedai's customers include organizations in cybersecurity (Palo Alto Networks, KnowBe4), financial services (Experian), healthcare, e-commerce (Wayfair, Campspot), IT and technology (HP, Freshworks), consumer goods (Belcorp), and digital commerce (Informed). Note: Not all industries may be represented in every feature set. Source
Sedai now optimizes AI agents!
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We bring FinOps and engineering together. Sedai deeply understands your apps to safely & autonomously optimize your cloud. FinOps get savings. Engineers get reliability.
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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
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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."
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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 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 supports a wide range of services across all cloud providers.
Sedai brings FinOps and engineering together by autonomously optimizing cloud cost based on real application behavior - FinOps gets savings, engineering keeps reliability. It ties spend to app context rather than isolated billing data.
Sedai breaks down cloud spend by account, service, workload, and environment with clear, consistent attribution grounded in app context. It also flags unusual spend and cost regressions as they emerge, not weeks later.
With SLOs, policies, and approvals built in, Sedai safely executes approved cost optimizations across your stack instead of leaving findings in a backlog.
Yes. Sedai tracks commitments, budgets, and projected spend so teams stay aligned with financial targets.
Traditional FinOps tools surface recommendations and alerts; Sedai autonomously acts on cost attribution signals through safe rightsizing and governance enforcement, so findings get resolved.
