CAST AI
Autonomous Kubernetes automation that cuts cloud cost and boosts performance.
About
CAST AI is a Kubernetes automation platform founded in 2019 that goes beyond cost dashboards by actually changing your clusters for you. An agent installed via a DaemonSet continuously analyzes workload demand and autonomously rightsizes nodes, orchestrates spot instances, and enforces policies, with customers typically reporting significant cost reductions within days.
The company has expanded from cost optimization into Application Performance Automation, using real-time performance signals to autonomously tune cost, security, and speed across clouds. In April 2025 CAST AI closed a $108 million Series C led by G2 Venture Partners and SoftBank Vision Fund 2 at a valuation near $850 million, serving over 2,100 organizations including Akamai, BMW, and Hugging Face.
What it can do
- Autonomous node rightsizing and autoscaling
- Spot instance orchestration across clouds
- Application Performance Automation from live signals
- Security posture scanning and policy enforcement
- Multi-cluster cost visibility and reporting
Setup
Install the CAST AI agent on your cluster with kubectl, then configure cost and performance policies in the console.
Prerequisites
A Kubernetes cluster on AWS, Azure, or GCP with cluster-admin access for the agent install.
Use cases
Works with
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 99; Trending score 84/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.