Sedai Blog

Meet Sed: Sedai's New AI Assistant Brings Conversation (and Action) to Cloud Optimization

Introducing Sed and Sedai's MCP integration: ask questions, take action, and extend it into your own agents.

See the Full Picture: Introducing the Resource Lifecycle Dashboard

Sedai already gives you deep visibility into individual resources, opportunities, and savings. Now we're providing a single place to step back and understand your entire environment at a glance.

Announcing Cloud Savings Reporting You Can Defend in Any Room

Sedai's new savings and impact dashboards bring a new level of sophistication to how cloud value is calculated and communicated — with accuracy and transparency that no other optimization platform comes close to matching.

Introducing the IaC Mapping Agent

Sedai has always been able to find the right optimization. Now it can eliminate IaC drift at the same time.

Sedai Extends Autopilot for VM and Amazon RDS Optimization

Sedai Autopilot now covers VMs and RDS — autonomous, incremental rightsizing with maintenance window controls and RL-based safety guardrails.

Introducing Sedai for AI Agent Optimization

Sedai brings observability, governance, and intelligent model routing to every AI agent in production.

Introducing Sedai GPU Optimization: Autonomous Cost Reduction for AI Infrastructure

Sedai GPU Optimization autonomously cuts AI infrastructure costs by identifying idle allocations, right-sizing workloads, and packing GPU capacity — safely and continuously.

GigaOm: Sedai Ranks #1 for Key Features in Kubernetes Resource Management

The results are in, and they confirm what our customers already know: Sedai is setting the pace for intelligent Kubernetes resource management.

Introducing Guardrails as Code: IaC Governance for Autonomous Optimization

Autonomous optimization and IaC don't have to conflict. Introducing Guardrails as Code. Define optimization boundaries in Git, reviewed and versioned like any config change.