Pilot pricing for early spend intelligence teams.
OggyCloud is pre-revenue, so pricing shown here is proposed packaging for pilots and early customers. It can change as product scope and customer needs become clearer.
Proposed plans, not revenue history.
These prices are intended to explain the business model and pilot path. They do not imply that OggyCloud currently has paying customers.
Simple packaging for the first commercial conversations.
The goal is to make value clear while leaving enough flexibility for different pilot scopes.
Pilot
For teams validating the first AWS and OpenAI spend workflow with OggyCloud.
Starter
For early teams that need one unified view across cloud and AI spend.
Growth
For growing SaaS and AI teams that need richer governance and recommendations.
Custom pricing for larger or security-sensitive teams.
Enterprise packaging should be based on integrations, security review, workspace count, support expectations, and automation volume.
Enterprise
For organizations that need private deployment discussions, custom data governance, deeper approvals, or broader spend coverage.
Contact salesHow pricing should evolve.
OggyCloud should start simple, then price more precisely as usage volume, automation depth, and customer ROI become measurable.
Transparent base subscription
Core pricing should be simple enough for founders and finance teams to understand without a procurement maze.
Usage-based intelligence later
Future pricing may include usage-based fees for advanced AI analysis, automation volume, or high-scale data processing.
Pilot learning first
Early commercial structure should help validate value, integrations, and savings workflows before optimizing packaging.
Quick plan comparison.
A compact view for founders who want to understand the difference without reading a long pricing page.
Want to shape the first paid package?
The most useful pricing feedback will come from teams willing to test AWS and OpenAI spend workflows with real operating context.