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CAST AI

What CAST AI is
CAST AI is an Application Performance Automation platform for cloud-native operations and Kubernetes automation. It automates workload sizing, node scaling, GPU and Spot optimization, and operational issue remediation. Its rightsizing tools adjust CPU and memory requests and limits, along with replica counts, according to workload behavior. For Spot workloads, CAST AI says its engine can predict interruptions up to 30 minutes ahead and move workloads before a slowdown. Agentic runbooks can address operational and security issues, with approval required before each change is shipped.
Teams can connect clusters in read-only mode in minutes without changing infrastructure. Supported environments include AWS, Google Cloud, Azure, Oracle Cloud, IBM Cloud, OpenShift, Rancher, VMware Tanzu, AliCloud, kOps, PostgreSQL, MySQL, and on-premises Kubernetes. Cloud cost capabilities include cost allocation, spend forecasting, rightsizing guidance, and commitment management. Listed integrations include Grafana, Terraform, Crossplane, Prometheus, Jira, OpenTelemetry, Helm, and Pulumi. CAST AI is available as web and self-hosted software. It is a paid service with custom pricing based on the customer’s environment, and a free trial is available. The company names Leon Kuperman, Laurent Gil, and Yuri Frayman as co-founders.
Who it suits
CAST AI is aimed at platform, SRE, and FinOps teams managing Kubernetes operations and cloud costs. It may suit organizations seeking automated rightsizing, scaling, Spot optimization, and approval-controlled remediation across supported environments.
What it does well
- Adjusts CPU, memory, limits, requests, and replicas based on workload behavior.
- Predicts Spot interruptions up to 30 minutes ahead.
- Runbook changes require approval before shipping.
- Can connect clusters read-only without infrastructure changes.
- Includes cost allocation, forecasting, rightsizing guidance, and commitment management.
What to know first
- Pricing is custom and requires contacting CAST AI for a quote.
- A free trial is available, but no free plan is listed.
Limits
Pricing depends on factors specific to the customer’s environment, and an accurate quote requires contacting CAST AI. The listed offer includes a free trial; no free plan is listed.
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| Custom quote | Pricing depends on factors specific to your environment; contact CAST AI for accurate pricing | On request |
As cast.ai lists them, read 8 Oct 2026. The maker's own page has the final word.
Getting started
- Visit https://cast.ai/.
- Choose the web or self-hosted platform route.
- Start a free trial.
- Connect a cluster in read-only mode; CAST AI says this can be done in minutes without infrastructure changes.
- Contact CAST AI for a quote based on your environment.
Verdict
Choose CAST AI if your platform, SRE, or FinOps team needs Kubernetes automation alongside cloud cost controls. Its rightsizing, scaling, Spot handling, and approval based runbooks cover several operational tasks. Teams should look elsewhere if they need a published price or a free plan.
Questions
How is CAST AI priced?
CAST AI uses custom pricing based on the customer’s environment. Contact the company for an accurate quote.
Is there a free trial?
Yes, a free trial is available.
Which platforms does CAST AI support?
It is available as web and self-hosted software.
Which cloud environments are supported?
Supported clouds include AWS, Google Cloud, Azure, and Oracle Cloud. Listed environments also include IBM Cloud, OpenShift, Rancher, VMware Tanzu, AliCloud, kOps, PostgreSQL, MySQL, and on-premises Kubernetes.
What tools does CAST AI integrate with?
Listed integrations include Grafana, Terraform, Crossplane, Prometheus, Jira, OpenTelemetry, Helm, and Pulumi.
Who founded CAST AI?
The company names Leon Kuperman, Laurent Gil, and Yuri Frayman as co-founders.
Facts from CAST AI's own pages
- Approval controls
- Agentic runbooks can fix operational and security issues, with each change requiring approval before it ships. · cast.ai, 8 Oct 2026
- Automation
- The platform automates workload rightsizing, node scaling, GPU and Spot optimization, and issue remediation. · cast.ai, 8 Oct 2026
- Company
- CAST AI’s about page names Leon Kuperman, Laurent Gil, and Yuri Frayman as co-founders. · cast.ai, 8 Oct 2026
- Integrations
- The integrations page lists Grafana, Terraform, Crossplane, Prometheus, Jira, OpenTelemetry, Helm, and Pulumi. · cast.ai, 8 Oct 2026
- Intended users
- CAST AI identifies platform, SRE, and FinOps teams among the teams using its Kubernetes optimization and cost-control tools. · cast.ai, 8 Oct 2026
- Onboarding
- CAST AI says clusters can be connected in minutes in read-only mode without infrastructure changes. · cast.ai, 8 Oct 2026
- Pricing availability
- The pricing page says pricing depends on factors specific to the customer’s environment and requires contacting CAST AI for an accurate quote. · cast.ai, 8 Oct 2026
- Product
- CAST AI describes itself as an Application Performance Automation platform for cloud-native operations and Kubernetes automation. · cast.ai, 8 Oct 2026
- Security
- CAST AI states that it has achieved ISO 27001 certification and describes policies for information security and data privacy. · cast.ai, 8 Oct 2026
- Spot reliability
- CAST AI says its engine predicts Spot interruptions up to 30 minutes ahead and migrates workloads before users experience a slowdown. · cast.ai, 8 Oct 2026
- Supported environments
- Listed environments include AWS, Google Cloud, Azure, Oracle Cloud, IBM Cloud, OpenShift, Rancher, VMware Tanzu, AliCloud, kOps, PostgreSQL, MySQL, and on-prem Kubernetes. · cast.ai, 8 Oct 2026
- Workload rightsizing
- It tunes CPU, memory, requests, limits, and replicas based on workload behavior. · cast.ai, 8 Oct 2026
Where CAST AI stands on Freedom251
- Cloud Cost Management Software#9 of 30
- Auto Scaling Software#9 of 24
- Kubernetes Cost Management Software#13 of 25
