AI-driven cloud cost optimization

Made for Kubernetes, powered by AI. Takes minutes to analyze your bill and a day to see savings. Import your existing cluster or create a new one to begin.

Works with your cloud

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Savings forecast

Savings activated:
50-90% off your bill

We care about everything that affects your cloud bill

Comprehensive savings

AI helps where humans can’t. CAST AI cuts your Kubernetes cloud costs by automating instance selection, bin packing, spot instance use, and autoscaling your instances.

Full cost visibility

Get universal metrics for any cloud provider. Forecast expenses for projects, clusters, namespaces, and deployments. Analyze costs down to individual microservices.

No trade-offs

Keep 100% performance and stability. Our cost optimization methods will never interfere with your app or business. Free to stop any time, you keep your cluster.

cluster savings forecast screen

Works even with previously optimized Kubernetes clusters

Get a savings forecast for your cluster in minutes and start saving immediately.

Horizontal pod autoscaling

Our horizontal pod autoscaler uses business metrics to determine the number of required pod instances, scaling the replica count of your pods up and down. It scales to zero and removes pods entirely if there’s no work to be done.

AI-driven instance selection

Whenever your cluster needs extra nodes, our AI-driven instance selection algorithm will choose the best instance type to meet the application requirements. Your workloads will run at maximum performance and minimum cost.

Multi shape cluster construction

Selecting the same instance shape for every node in your cluster leads to overprovisioning. CAST AI enables an optimized mix of different instance types best adapted to your needs. Get 100% of the performance at a fraction of the cost.

Automated pod scaling parameters

When choosing pod scaling parameters, teams often end up overprovisioning their clusters. CAST AI automatically sets pod scaling parameters to achieve optimal application performance while maximizing cost savings.

Automatic bin packing

Kubernetes distributes applications within a cluster evenly, with no regard to cost. We change this default pod scheduling behavior and bin pack for maximum savings according to your settings. Fewer nodes mean lower costs.

Spot instance automation

Spot instances can save up to 90% of your costs, but can be taken away within a minute. We automate their use and replacement so you can forget their volatility and save big even in production environments.

Node autoscaling

Ensures that your nodes match your workload requirements at all times. Works in tandem with other CAST AI cost optimization algorithms and scales nodes up and down automatically.

Cost visibility at every level

Finally see the source of your expenses. CAST AI reports and forecasts detailed cluster costs. Get cost data for project, cluster, namespace and deployment levels. See as much as costs of individual microservices.

Cluster scheduling

Some teams do not require clusters at all times, especially for dev/test workloads. CAST AI pauses and resumes clusters for you so you’re not paying for resources you don’t use.

Save with any type of workload

save 46%
App matching instance shape

AI instance optimization

Get the full value from every dollar you pay. Our AI engine will select the optimal instance type every time and bin pack pods in them. Pods will get the right CPU and memory limits set automatically.

save 50%
Auto scaling OFF
Auto scaling ON

Intelligent autoscaling

Your instances will scale up and down to adapt to the load at hand. Scale to zero or on a schedule when there's no work to be done.

save 90%

Spot instance automation

Production-grade spot instance support for your Kubernetes workloads. Save as much as 90% without locking yourself in with reserved instances.

“CAST AI is on a mission to help you make your cloud operations more efficient wherever it's located. Perhaps with a little help, the cloud community can get those dire-looking FinOps automation numbers up - and bring some budget down.”


“As one of the leading specialists of Kubernetes in Latin America, Ingenia helps some of Latin America’s largest companies to move to the cloud. With CAST AI, we could enable our customers with cross-cloud capabilities to optimize their cloud spendings without compromises in performance.”

Gustavo Brey, Co-Founder & CGO at Ingenia

“CAST AI seems to have, rather uniquely, understood and captured the essential power and promise of Kubernetes. Its primary mission is to deliver instant cross-cloud capability while optimizing cloud cost and performance. It has optimization and arbitrage smarts – Kubernetes provides the management platform, enabling it to deploy in many places.”

451 Research

“You could use Amazon’s RDS database and Google’s ML engine, and the solution decides how to make that work based on your requirements and price. You set the policies when you are ready to launch and Cast will take care of distributing it for you in the location and providers that you desire, or that makes most sense for your application.”

Ron Miller, TechCrunch

“To drive cloud costs down seriously, you need an intelligent platform capable of selecting the right instance size and type, autoscaling your setup as needed, and managing infrastructure dependencies for you.”


“Cloud bill management is a tough task to have. CAST AI gives you visibility and profound cloud cost optimization capabilities in a package that’s frictionless to get started with.” - Robert Duncan, CISO at DirectLine Group.

Robert Duncan, CISO at DirectLine Group

“It doesn’t make sense to cut yourself off from the opportunity to save up to 90% off the on-demand price just because AWS can pull the plug on your instance with a two-minute notice.”

Cloud Computing News. net

“We are pleased to partner with CAST.AI and support our clients by providing them with the best cloud cost and performance optimization solutions. “With the increasing adoption of Kubernetes platform, we at Simplex want to ensure that software developers continue to focus on their applications, while we empower the customers to remove cloud complexity using automation”, said Mohit Bajaj, Executive Director, Strategy and Consulting, Simplex Services.

Mohit Bajaj, Executive Director, Strategy and Consulting, Simplex Services

“Analyzing a cloud bill manually is difficult and time-consuming because each service has its own billing metric and cost insights are spread around the CSP console. This is where automation can help.”


“Many of our customers are telling us that multi-cloud has become a core strategy to avoid vendor lock-in, reduce cloud costs, and diversify cloud providers. Now they can finally control their cloud costs in a single platform.”

Alan Dumas, CEO of Red River