How CloudScore works
Connect the signals. Coordinate the decisions.
CloudScore combines cloud costs, resource details, AI usage data and operations context into one workflow.
| Source | Data | Status | Last sync |
|---|---|---|---|
 AWS | Billing export, inventory | Synced | 4 min ago |
 Microsoft Azure | Cost export, inventory | Synced | 6 min ago |
 Google Cloud | Billing export, inventory | Synced | 5 min ago |
 Kubernetes | Workload metrics | Synced | 1 min ago |
 GitHub | Repositories | Read only | 12 min ago |
 Jira | Tickets | Needs approval | Write-back |
The operating journey
Five stages, from first connection to evidence.
Connect approved cloud, billing and telemetry sources
Create shared technical and business context
Surface recommendations, risks and economic signals
Assign owners and execute permitted workflows
Measure outcomes and report decisions
Connected architecture
How the parts fit together
Platform view
Shared context for every team at the table.
All your data feeds one shared place that every CloudScore product reads, and every action goes to an owner with proof.
Investigate further
Choose your priority. See how it plays out.
Operationalize cloud optimization
Link waste findings to owners and to proven savings, so every fix becomes a tracked improvement.
Control AI spend
Join model and token economics with configurable routing, caching and cost-per-outcome analysis.
Accelerate incident investigation
Help reliability teams understand what changed and which components deserve investigation.
Establish cost accountability
Assign cost owners from billing data and virtual tags, then send each team a clear bill.
Unify executive reporting
Give each executive a tailored view of cloud costs, risks and real results.
Book a demo
Show us what you're solving. We'll walk it through.
Bring two or three priorities, and we’ll show how CloudScore handles them and what it needs from you.