CAST AI
CAST AI is an automated cloud optimization platform that reduces your Kubernetes costs by monitoring clusters and automatically rightsizing resources across AWS, Google Cloud, and Microsoft Azure environments.
Finout
Finout is a cloud cost management platform that combines your AWS, Azure, GCP, and SaaS spend into a single view to help you monitor and optimize unit economics.
Quick Comparison
| Feature | CAST AI | Finout |
|---|---|---|
| Website | cast.ai | finout.io |
| Pricing Model | Freemium | Subscription |
| Starting Price | Free | $??/month |
| FREE Trial | ✓ 0 days free trial | ✓ 14 days free trial |
| Free Plan | ✓ Has free plan | ✘ No free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 2019 | 2021 |
| Headquarters | Miami, USA | Tel Aviv, Israel |
Overview
CAST AI
CAST AI is an automated platform designed to slash your cloud bill without manual intervention. It connects to your Kubernetes clusters and continuously analyzes your workload requirements, automatically selecting the most cost-effective compute instances in real-time. You can stop overprovisioning and start paying only for what you actually use across major providers like AWS, Azure, and GCP.
The platform handles the heavy lifting of infrastructure scaling, spot instance management, and cluster rebalancing. It is built for DevOps teams and platform engineers who need to maintain high performance while keeping cloud expenses under control. You get a clear view of your spending and automated tools to fix inefficiencies instantly, often resulting in savings of over 50% on your monthly cloud compute costs.
Finout
Finout helps you gain total visibility over your entire cloud and SaaS spend by consolidating disparate billing data into one unified dashboard. Instead of jumping between AWS, Snowflake, and Datadog consoles, you can see exactly how much each customer, feature, or team costs you in real-time. This allows you to move beyond basic budgeting and start managing your business based on actual unit economics and profitability margins.
You can assign every dollar of spend to its rightful owner using advanced virtual tagging and allocation rules, even for shared resources like Kubernetes. The platform identifies waste automatically and provides actionable recommendations to reduce your monthly bill. It is designed for DevOps and finance teams at scale-up and enterprise companies who need to align technical infrastructure costs with business outcomes without manual spreadsheet work.
Overview
CAST AI Features
- Automated Rightsizing Automatically adjust your pod resource requests based on real-time usage to eliminate waste and improve application performance.
- Spot Instance Automation Use low-cost spot instances safely with automated fallback to on-demand nodes if capacity becomes unavailable in your region.
- Cluster Autoscaler Scale your clusters up or down instantly based on actual demand using the most cost-efficient node types available.
- Cloud Cost Monitoring Track your cloud spending down to the individual microservice, namespace, or deployment level with real-time visibility dashboards.
- Node Bin Packing Consolidate your workloads onto the fewest possible nodes to maximize resource utilization and reduce your total infrastructure footprint.
- Security Audit Scan your Kubernetes clusters for common misconfigurations and security vulnerabilities to ensure your optimized environment remains fully protected.
Finout Features
- MegaBill Consolidation. Combine your invoices from AWS, Azure, GCP, Snowflake, and Datadog into one unified view for total spend transparency.
- Unit Economics Tracking. Measure your cost per customer, transaction, or feature to understand exactly how your infrastructure spend impacts your bottom line.
- Kubernetes Cost Allocation. Drill down into container costs to see exactly how much individual pods and namespaces are costing your business.
- Virtual Tagging. Organize your costs without touching your cloud provider tags by creating logic-based virtual tags within the platform.
- Anomaly Detection. Receive instant alerts when your spend spikes unexpectedly so you can stop budget overruns before they become expensive problems.
- Automated Recommendations. Identify underutilized resources and get specific instructions on how to right-size your environment to save money immediately.
Pricing Comparison
CAST AI Pricing
- Read-only cost monitoring
- Savings estimation report
- Security vulnerability scanning
- Multi-cloud support
- Unlimited clusters
- Everything in Free, plus:
- Automated cost optimization
- Spot instance management
- Automated bin packing
- Standard support
- Predictive autoscaling
Finout Pricing
- Up to $1M annual spend tracked
- Multi-cloud support (AWS, GCP, Azure)
- Kubernetes cost allocation
- Basic anomaly detection
- Standard support
- Unlimited users
- Everything in Standard, plus:
- Advanced SaaS integrations
- Custom unit economics dashboards
- Automated cost optimization
- Priority support
- API access
Pros & Cons
CAST AI
Pros
- Significant immediate reduction in monthly cloud compute spending
- Easy setup process that connects quickly to existing clusters
- Excellent visibility into granular Kubernetes costs and resource waste
- Reliable spot instance management prevents application downtime
Cons
- Requires high-level permissions to automate infrastructure changes
- Learning curve for complex custom scaling policies
- Pricing can be difficult to predict for high-growth startups
Finout
Pros
- Excellent visibility into shared Kubernetes resources
- Fast setup with agentless integration
- Consolidates multiple SaaS tools into one bill
- Highly responsive customer success team
- Intuitive interface for non-technical finance users
Cons
- Initial data mapping requires significant time
- Pricing can be high for smaller startups
- Some advanced reporting features have learning curves