Tag-based cost allocation across teams, projects, and departments with showback/chargeback
Set budgets, track spending, and receive alerts before you exceed limits
AI identifies unusual spending patterns and cost spikes in real-time
Automated recommendations for rightsizing, reserved instances, and spot usage
Unified view across AWS, Azure, GCP, and private cloud infrastructure
Deep insights into unit economics, cost trends, and resource utilization
ML models predict cloud spending 90 days out with 94% accuracy based on usage patterns
AI analyzes workload patterns and recommends optimal instance types, saving 30-40% on compute
Detect unusual spending spikes within minutes and get AI-suggested remediation steps
Continuous AI-driven recommendations for savings opportunities across your cloud estate