CAST AI
Kubernetes automation that turns workload, cost and SLO signals into safe automated actions.
By CAST AI · 4.8/5 verified-buyer score
Positioning guardrails
Best for
- Platform, SRE and FinOps teams running Kubernetes on EKS, GKE or AKS
- Companies with overprovisioned clusters seeking 30-80% compute savings
- Teams wanting automated rightsizing, node provisioning and Spot/GPU optimisation without manual YAML
- Organisations adopting Karpenter or moving workloads to Spot Instances
- Engineering teams that want cost visibility at cluster, namespace and workload level
Ideal size: 10-5000 people · Cloud-native organisation with a platform/SRE function and Kubernetes in production
Not for
- Businesses with no Kubernetes footprint
- Teams that require published list pricing before evaluation
- Buyers needing publicly listed SOC 2 or ISO 27001 certification before purchase
- Workloads that depend on bespoke consulting-led migrations rather than automation
Value metrics scorecard
Time-to-Value
Connects in minutes; value in days
~1 days to first production value
Total Cost of Ownership
$0/yr
Starts at $0 · Custom quote; pricing depends on environment-specific factors such as number of clusters and GPU usage. No public list price.
Implementation Friction
1/5
Engineering + admin effort required
Buyer Score
out of 5 · verified buyers
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not published; quote-based with a free trial available
Add-on costs
- None
Company & support
Who is behind CAST AI, and how your team gets help once it is live.
Company
- Founded
- Not recorded
- Headquarters
- Not recorded
How you get support
- PhoneNot listed
- EmailPlan not stated
- Live chatNot listed
- Support portal / ticketsNot listed
- Community forumPlan not stated
- Help centre / docsPlan not stated
- Dedicated account managerNot listed
- In person / on-siteNot listed
- Hours
- Not recorded
- Response time
- Not stated
Docs list a support email and a Slack community for engineers; the documentation site serves as the knowledge base. A customer testimonial praises responsiveness, but no published SLA or support hours.
“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.
Market position
Where CAST AI sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- CAST AI
- ExpenseIn
- Pump
- ProsperOps
- Archera
- nOps
Add or change companies
Up to 10 companies including CAST AI. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What CAST AI ships in AI, and what it asks of your ecosystem.
AI features shipped
Cast AI describes agentic runbooks that remediate drift, image issues and policy violations with approval workflows, plus a Cast Engine predictive model trained on thousands of clusters that forecasts Spot interruptions up to 30 minutes ahead and drives millicore-level rightsizing.
In your ecosystem
- AI connection
- Not supported
- Model key
- Not recorded
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Cast AI automates Kubernetes cost and performance: it rightsizes pods, scales nodes, optimises GPU and Spot usage and runs agentic runbooks, connecting to EKS, GKE, AKS or on-prem clusters in minutes with no infrastructure changes. It starts in read-only mode and reports 30-80% cloud savings across 2,100+ customers. Pricing is a custom quote based on cluster count and GPU usage, and no certification list is published on the pages reviewed, so request the security pack.
Frequently asked questions
How is Cast AI priced?
Cast AI does not publish list pricing. Per its pricing page, the model depends on environment-specific factors such as cluster count and GPU usage, so pricing comes through a custom quote. A free trial and a demo are offered, and no mandatory implementation fee is stated in the sources reviewed.
How quickly can we get value?
Cast AI says clusters connect in minutes and that the platform goes from connect to optimized in minutes. Connection is available through the castctl CLI, the console (including agentless discovery with Cloud Connect) or a Terraform provider, starting in read-only mode with no infrastructure changes. Terraform, Helm and Pulumi integrations keep onboarding in your IaC pipeline.
Which clouds and clusters are supported?
Amazon EKS, Google GKE, Azure AKS, Oracle Cloud (OCI), Microsoft Azure for Government, Red Hat OpenShift Service on AWS (cost monitoring and optimisation insights only), and Cast AI Anywhere for any Kubernetes cluster including on-premises, neo-cloud and hybrid environments.
Does Cast AI publish security certifications?
The vendor pages reviewed label features as covered by enterprise-grade security but do not list certifications such as SOC 2, ISO 27001 or ISO 42001. Ask the vendor for its security and compliance documentation before you commit.
Can Cast AI change my cluster without approval?
The platform uses agentic runbooks to remediate drift, image and policy issues, and the vendor states you approve every change before it ships. Connections begin in read-only mode so teams can evaluate recommendations before enabling automated action.
What results do customers report?
Published case studies report large compute savings, for example Akamai 40-70%, NielsenIQ 80%, Yotpo 40% and ALLEN Digital 71% GPU savings, alongside reduced manual rightsizing, node-pool creation and capacity planning effort for DevOps teams.