AI-Powered Cloud Cost Optimization | Save + Annually
Automatically scan AWS, Azure, and GCP accounts to identify unused resources, over-provisioned instances, and orphaned storage. Experience the interactive demo with live cloud cost analysis, waste detection, and optimization recommendations.
AI-Powered Cloud Cost Optimization & Waste Detection
Challenge: Enterprises waste 30-40% of cloud spend on over-provisioned resources, unused instances, and inefficient configurations. Manual optimization is time-consuming and error-prone.
Impact: Significant amounts wasted on unnecessary cloud costs, poor resource utilization, and lack of visibility into spending patterns.
AI-Powered Optimization: ML models analyze usage patterns, detect waste, and provide automated rightsizing recommendations across AWS, Azure, and GCP.
Technology Stack: Python/FastAPI backend, ML cost prediction models, React dashboard, Cloud APIs (AWS Cost Explorer, Azure Cost Management, GCP Billing).
Technology, SaaS, IT Services, E-commerce, Enterprises with significant cloud spend (+ monthly)
Cloud Providers: Native integration with AWS, Azure, GCP billing APIs
APIs: REST APIs for custom integrations
Environments: Supports multi-cloud and hybrid cloud deployments
Cloud & Infrastructure Offering
Cloud optimization and infrastructure automation solutions that reduce costs by 30-50% while improving performance and scalability. Cloud Waste Finder automatically identifies and eliminates waste across AWS, Azure, and GCP, delivering measurable savings with zero impact on performance.
In Simple Terms: Cloud Waste Finder is like a financial advisor for your cloud infrastructure. It automatically scans your AWS, Azure, and GCP accounts to find unused resources, over-provisioned instances, and orphaned storage - then tells you exactly how much money you're wasting and how to fix it.
High-Level Context: Most companies waste 30-40% of their cloud spend on resources they don't need. Cloud Waste Finder uses AI to analyze your entire cloud infrastructure, identify waste patterns, and provide actionable recommendations. It's not just monitoring - it's automated cost optimization that delivers significant savings for enterprises.
Scenario: Your company spends a significant amount monthly on cloud infrastructure across AWS, Azure, and GCP. You suspect you're overpaying, but you don't know where the waste is.
What Cloud Waste Finder Does: It scans all your cloud accounts and finds: 15 unused EC2 instances, 8 over-provisioned databases, 500GB orphaned storage, and 3 idle load balancers.
Result: Cloud Waste Finder identifies significant waste (14% of total spend) and provides one-click optimization actions. You achieve substantial savings with zero impact on performance.
Calculate potential cost savings from cloud waste optimization using Cloud Waste Finder's AI analysis. This calculator estimates savings based on typical waste patterns across AWS, Azure, and GCP, validated in production environments.
Enter your cloud infrastructure details
Click "Calculate Savings" to see potential cost reductions
Live cloud cost analysis powered by AI. All metrics are calculated using validated waste detection algorithms with high accuracy in identifying unused resources and over-provisioned instances.
30% waste identified across all cloud providers. 18 unused instances and 12 over-provisioned databases are the primary sources of waste.
Significant annual savings potential validated in production. Immediate optimization actions can recover monthly.
Focus on terminating unused instances (/month) and right-sizing databases (/month) for maximum impact.
Comprehensive cost analysis across all cloud providers. All metrics are calculated using AI-powered waste detection with high accuracy in identifying optimization opportunities.
18 unused instances (), 12 over-provisioned databases (), orphaned storage (), and idle resources ().
Significant monthly savings potential annually. Strong ROI within 6 months with zero impact on performance.
Use the Cost Savings Calculator to see personalized savings for your infrastructure. All recommendations are AI-validated and production-tested.
Contact us to schedule a live demo or discuss integration options