Resource-based pricing that scales with cloud complexity
No seats. No feature gates. CloudMind pricing is based on resources scanned and visualized, similar to Azure consumption billing models.
Engineering teams should not be penalized for collaboration. CloudMind pricing is based on the number of resources you scan and visualize — not the number of users.
This aligns spend with value: as your Azure footprint grows in complexity, pricing scales predictably with it. The goal is straightforward: you can invite everyone who needs visibility (platform, security, SRE, app teams) without playing “seat math.”
Why seat-based pricing breaks down for platform visibility
- Platform work is cross-functional: visibility is needed by many teams, not a small set of “power users”
- Incidents are collaborative: you need broad access when it matters most
- Seat pricing encourages tool sprawl (screenshots, exports, and “can you send me that diagram?”)
- Visibility should scale with architecture complexity, not org chart size
What counts as a “resource” (conceptually)
Your bill tracks the size of what you scan and visualize. In practice, that includes the Azure resources that make up your environments (and the relationships between them).
How to estimate your cost quickly
- Start with a single subscription (or environment) to understand baseline resource count
- Scale out to additional subscriptions/landing zones as needed
- Use the pricing calculator to see how unit rates step down as the footprint grows
The outcome
The result is a pricing model that is easy to reason about, encourages collaboration, and scales with the thing that actually drives complexity: your Azure footprint.