The best engineering leaders use Sedai to reduce their cloud costs by up to 50%. Safely. Autonomously. Without lifting a finger.
Trusted by industry leaders
Sedai discovers your infrastructure, application and traffic patterns and behavior. Using reinforcement learning, Sedai continuously improves your cost and performance based off traffic and application behavior patterns, adapting its recommendations and actions accordingly.
Sedai discovers your infrastructure and applications via connection to your APM tool of choice.
Sedai continuously learns the traffic patterns and behavior of your application and infrastructure.
Using AI/ML, Sedai finds optimization opportunities to optimize performance and/or cost based on your priority.
Sedai validates potential changes with rigorous safety checks and has been engineered to be the safest cloud platform in the world
Sedai autonomously executes optimizations in production, on behalf of the operations team, providing a full audit trail of production environment changes to help customers meet compliance needs.
Out-of-the-box integration in minutes
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Sedai uses autonomous AI agents and reinforcement learning to balance cost, performance, and availability continuously — learning and improving over time.
Every action is vetted by rigorous safety checks and simulations; patented guardrails let you approve or veto any optimization.
Yes. Sedai supports Kubernetes (EKS/AKS/GKE & on‑prem), VMs, serverless (Lambda), storage (S3, EBS), databases and more.
Customers typically see 30–50%+ cost savings and 30%+ performance gains within months, with zero incidents.
30-day free trial + production-ready POC; then paid SaaS or self-hosted tiers optimized for your scale.
Sedai integrates with these IaC platforms to ensure that resource configurations remain in sync with the IaC files. You can integrate your preferred Git-hosting platforms with Sedai to connect your IaC in Sedai’s settings pages. Sedai offers a feature where it can map resources to IaC configuration files, providing flexibility in how infrastructure management needs are met. Sedai can also provide an option to issue an IaC pull request when operating in Recommend Mode, which will allow Sedai to provide recommendations for configuration changes but offload the execution of these changes to the IaC and its associated CI/CD pipeline.