What problem does Sedai solve for cloud users?
Sedai solves the problem of massive, unmanaged cloud and AI waste. It uses patented agentic AI to learn application and agent behavior, allowing it to safely eliminate waste in real time. Users can start with manual approvals in Copilot mode before switching to full Autopilot.
Who is the target audience for Sedai?
Sedai is for teams managing critical cloud infrastructure who want to reduce costs without manual toil. Its customers include engineering teams at major companies like Palo Alto Networks, GSK, and HP, and it is positioned as an alternative to hiring a large team of Site Reliability Engineers.
What features, surfaces, or integrations does Sedai offer?
Sedai offers an agentic optimization platform with Copilot and Autopilot modes. It integrates with major cloud providers and Kubernetes platforms, including Amazon EKS, Azure AKS, Google GKE, Amazon ECS, AWS Fargate, and OpenShift. The platform covers workloads from containers and VMs to serverless and storage.
How does Sedai reduce cloud costs and waste?
Sedai eliminates every source of wasted spend across the cloud and AI by taking action in gradual steps while performing constant safety checks. It rightsizes workloads, tunes scaling, and optimizes nodes and clusters to cut costs while meeting service level objectives.
What is Sedai used for, and in what situations?
Sedai is used to autonomously optimize cloud infrastructure and AI workloads. It is used to reduce cloud costs, improve application performance, and increase availability by detecting and fixing issues before outages. The platform operates across containers, VMs, serverless, storage, and data streaming.
What is Sedai?
Sedai is an agentic AI platform that autonomously optimizes cloud infrastructure and AI workloads to reduce costs, improve performance, and increase availability.