CAST AI is a Kubernetes automation platform that optimizes cloud costs, performance, and security for AWS, Azure, GCP, and hybrid environments. It uses machine learning to analyze and adjust Kubernetes clusters in real time, reducing costs by over 50% for many users. The platform supports managed Kubernetes services like EKS, AKS, and GKE, as well as self-managed setups like OpenShift. Its key features include Autoscaler for dynamic resource allocation, Spot Instance Automation for cost-efficient instance management, and Kvisor for real-time security scanning. CAST AI Anywhere extends optimization to on-premises and hybrid clusters.
The platform integrates seamlessly with major cloud providers, requiring no changes to existing tech stacks. Users can start with an agentless discovery process, connecting cloud accounts via a read-only script to analyze clusters. The dashboard provides detailed cost monitoring at cluster, namespace, and workload levels. Recent additions, like the AI Optimizer, enhance efficiency for AI workloads by selecting cost-effective large language models. Customer feedback highlights significant savings — Branch reported millions saved annually on AWS — and rapid onboarding, often delivering results within days.
CAST AI competes with CloudZero, Zesty, and Exostellar — which offer broader FinOps solutions but less Kubernetes-specific automation. CAST AI’s focus makes it ideal for container-heavy environments, though its reliance on Kubernetes expertise may challenge smaller teams. Pricing is usage-based, offering flexibility but requiring careful monitoring for unpredictable workloads. Recent X posts praise the platform’s cost savings and support, though some users note a learning curve.
The free plan includes unlimited cost monitoring and security checks, while paid plans unlock automation features like autoscaling and spot instance management. The platform’s SOC2 and SOC3 compliance ensures enterprise-grade security. A 2025 report noted only 10% CPU and 23% memory utilization in typical Kubernetes clusters, underscoring CAST AI’s value in reducing waste.
Start with the free plan to assess your cluster’s optimization potential. Use the agentless discovery to avoid upfront commitments, and leverage live chat support for setup guidance. Ensure your team has basic Kubernetes knowledge to maximize the platform’s benefits.