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CAST AI

cast.ai

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Spec score 7.7 #7 of 30 in Cloud Cost Management Software

What it is

CAST AI is an Application Performance Automation platform for cloud-native operations and Kubernetes automation. It automates workload rightsizing, node scaling, GPU and Spot optimization, and issue remediation. Rightsizing adjusts CPU and memory requests, limits, and replicas in response to workload behavior. The platform says its engine can predict Spot interruptions up to 30 minutes ahead and migrate workloads before a slowdown. Agentic runbooks can address operational and security issues, with approval required for each change before it ships.

Teams can connect clusters in read-only mode without infrastructure changes. Listed environments include AWS, Google Cloud, Azure, Oracle Cloud, IBM Cloud, OpenShift, Rancher, VMware Tanzu, AliCloud, kOps, PostgreSQL, MySQL, and on-prem Kubernetes. Cost tools include allocation, spend forecasting, rightsizing guidance, and commitment management. CAST AI integrates with tools including Grafana, Terraform, Prometheus, Jira, and Pulumi. It is available on the web and as self-hosted software. Pricing is custom and available on request; a free trial is available.

Spec sheet

Product
CAST AI describes itself as an Application Performance Automation platform for cloud-native operations and Kubernetes automation.Read 8 Oct 2026 · cast.ai
Intended users
CAST AI identifies platform, SRE, and FinOps teams among the teams using its Kubernetes optimization and cost-control tools.Read 8 Oct 2026 · cast.ai
Integrations
The integrations page lists Grafana, Terraform, Crossplane, Prometheus, Jira, OpenTelemetry, Helm, and Pulumi.Read 8 Oct 2026 · cast.ai
Security
CAST AI states that it has achieved ISO 27001 certification and describes policies for information security and data privacy.Read 8 Oct 2026 · cast.ai
Company
CAST AI’s about page names Leon Kuperman, Laurent Gil, and Yuri Frayman as co-founders.Read 8 Oct 2026 · cast.ai
Approval controls
Agentic runbooks can fix operational and security issues, with each change requiring approval before it ships.Read 8 Oct 2026 · cast.ai
Automation
The platform automates workload rightsizing, node scaling, GPU and Spot optimization, and issue remediation.Read 8 Oct 2026 · cast.ai
Onboarding
CAST AI says clusters can be connected in minutes in read-only mode without infrastructure changes.Read 8 Oct 2026 · cast.ai
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.Read 8 Oct 2026 · cast.ai
Spot reliability
CAST AI says its engine predicts Spot interruptions up to 30 minutes ahead and migrates workloads before users experience a slowdown.Read 8 Oct 2026 · cast.ai
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.Read 8 Oct 2026 · cast.ai
Workload rightsizing
It tunes CPU, memory, requests, limits, and replicas based on workload behavior.Read 8 Oct 2026 · cast.ai

Plans and prices

Custom quote Priced on request Pricing depends on factors specific to your environment; contact CAST AI for accurate pricing Read 8 Oct 2026 · cast.ai

Every CAST AI plan and price →

Strong points and limits

Strong points

  • Automates workload sizing, node scaling, and issue remediation.
  • Predicts Spot interruptions up to 30 minutes ahead.
  • Supports cost allocation and spend forecasting.
  • Clusters can connect in read-only mode.
  • Offers a free trial.

Limits

  • Paid pricing requires a custom quote.
  • Changes from runbooks require approval before shipping.

Who it suits

CAST AI suits platform, SRE, and FinOps teams managing Kubernetes operations and cloud costs. It may also fit teams that want approval controls for automated operational and security changes.

Verdict

CAST AI brings Kubernetes optimization, cost tools, and issue remediation together, with approval controls for runbook changes. Teams need to request a quote to learn pricing for their environment.

Where Specifiction places it

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