September 10, 2026
Introducing Kubernetes Pod Interceptor: Optimize Without Fighting Your Pipeline
Sedai is introducing Pod Interceptor and Smart Scheduler — two changes to how Sedai executes and schedules on Kubernetes, so the optimization you've already identified actually lands, without fighting your GitOps pipeline or waiting on a manual consolidation step.
August 6, 2026
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.
July 28, 2026
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.
July 21, 2026
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.
July 14, 2026
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.
June 30, 2026
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.
June 16, 2026
Sedai Expands Its Self-Driving Cloud to Power Autonomous Enterprise Infrastructure with $20M Series B
Sedai raises $20 million in Series B funding for its self-driving cloud. Fortune 500 companies use Sedai's patented AI to manage and optimize the cloud.
June 9, 2026
Introducing Sedai for AI Agent Optimization
Sedai brings observability, governance, and intelligent model routing to every AI agent in production.
May 29, 2026
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.