We pair real Google Cloud operator knowledge with cutting-edge AI to expose waste, prioritize fixes, and bring your bill down.
Three steps is enough:
Grant access to your Cloud Billing data export and Cloud Monitoring signals.
The waste patterns are detected by our sophisticated proprietary AI models.
The findinds are validated and remediation steps are explained by our resident Google Cloud experts.
The biggest savings are often hiding in plain sight across BigQuery, Google Kubernetes Engine (GKE), Cloud Storage, and core infrastructure. We surface them fast and prioritize what matters most, taking into account factors like estimated savings, required effort, and implementation risk.
Query and storage inefficiencies in BigQuery
GKE cluster and workload misconfiguration
Cloud Storage tiering and retention waste
Commitment, discount, and coverage gaps
Network egress and cross-region cost leakage
Always-on non-production environments
Orphaned resources and forgotten spend
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