CAST AI
CAST AI: A Kubernetes-focused cost platform with broad cloud coverage and deep optimization controls. Ranked #12 of 28 in Cloud Cost Management Software by our editors (8.0/10); pricing: Pricing on request; best for kubernetes-heavy teams optimizing infrastructure spend.
At a glance
- Editor score8.0 / 10
- PricingPricing on request
- Best forKubernetes-heavy teams optimizing infrastructure spend
- Billing modelCustom
- Facts checked20 Sep 2026

Where it wins
- Detailed Kubernetes cost allocation across workloads, teams, and resource types
- Automates rightsizing, node scaling, bin packing, and instance selection
- Tracks commitments and optimizes Spot capacity across four cloud providers
Where it doesn't
- Custom pricing requires a sales conversation
- Its strongest fit is Kubernetes-heavy infrastructure environments
- Teams seeking only basic cloud billing visibility may find it too broad
Our verdict on CAST AI
CAST AI is a cloud-native platform for Kubernetes workload, infrastructure, cost, and SLO optimization. It is designed for platform, SRE, DevOps, and FinOps teams that need to understand spending by cluster, namespace, workload, team, CPU, memory, and GPU. The platform also supports monthly spend forecasting, end-of-month bill prediction, workload grouping through namespaces or labels, and cost and performance anomaly notifications through its interface, Slack, or webhooks.
Its ecosystem covers AWS, Google Cloud, Microsoft Azure, and Oracle Cloud, alongside Kubernetes. CAST AI also connects with Grafana, Terraform, Crossplane, Prometheus, Jira, OpenTelemetry, Helm, and Pulumi. Cloud Connect provides agentless cloud resource discovery, while the available web and API access supports platform and engineering workflows. This breadth makes it a practical fit for organizations managing multiple cloud environments or integrating cost controls into existing infrastructure tooling.
The standout area is Kubernetes optimization depth. Workload rightsizing addresses CPU, memory, requests, limits, and replicas, while automated node scaling, bin packing, cheaper instance selection, Spot optimization, and interruption-aware placement target infrastructure efficiency. Commitment tracking covers Reserved Instances, Savings Plans, and CUDs. Pricing uses a custom quote model, so buyers should expect a sales-led evaluation rather than a published plan comparison. CAST AI suits Kubernetes-heavy teams seeking automated optimization across several clouds; teams wanting a simpler billing dashboard or a narrower cost-reporting tool may prefer an alternative.
Your product? Our editors can test CAST AI in depth and publish a review, labelled as paid · from $149/mo →
CAST AI pricing
CAST AI fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Billing model | Custom |
| Supported clouds | AWS, GCP, Azure, OCI |
| Cost allocation | Yes |
| Budget alerts | Not verified |
| Spend forecasting | Yes |
| Rightsizing guidance | Yes |
| Commitment management | Yes |
| Deployment | Cloud |
| Platforms | Web |
| Compliance & security | SOC 2, ISO 27001, GDPR |
| Support | Email, Community, Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 13 integrations: AWS, Google Cloud, Microsoft Azure, Oracle Cloud, Kubernetes, Grafana … See all → |
| Pricing | Pricing on request (source) |
| Website | cast.ai |
| Facts checked | 20 Sep 2026 |
CAST AI integrations
CAST AI lists 13 integrations on its own site.
- AWS
- Google Cloud
- Microsoft Azure
- Oracle Cloud
- Kubernetes
- Grafana
- Terraform
- Crossplane
- Prometheus
- Jira
- OpenTelemetry
- Helm
- Pulumi
See all CAST AI integrations →
Alternatives to CAST AI
- Harness Cloud Cost ManagementBroad multi-cloud FinOps coverage with free access and spend-based paid pricing.9.4
- VantageFlexible cloud-cost management with a free tier and a clearly priced $30 Pro plan.9.2
- nOpsA broad multicloud FinOps platform for teams that need allocation and optimization automation.9.0
See all CAST AI alternatives →
Also Ranked In
CAST AI is ranked in 3 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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