Free Trial
Explore the workspace and see how CloudGo approaches a cloud decision.
10 credits to get started
Try CloudGo- 10 CloudGo credits
- Cloud Advisor agent
- Core cloud planning workflows
- CloudGo-generated recommendations
- Explore at your own pace
Try the workspace. Equip your team. Or connect the knowledge layer to your own AI. Choose the starting point that fits how you work.
Explore the workspace and see how CloudGo approaches a cloud decision.
10 credits to get started
Try CloudGoGive your team a shared workspace for cloud decisions and planning.
Scoped to your team and workflows
Talk to salesBring the knowledge layer into your existing AI and internal tools.
Scoped to your integration
Explore an API pilotFor Scale and Context, we agree one workflow, the source scope, usage, and integration requirements before quoting. We define the baseline and success criteria with you, so the first engagement has a clear outcome.
| Your needs | Free Trial | CloudGo Scale | CloudGo Context |
|---|---|---|---|
| Primary use | Individual exploration | Team decisions & delivery | Knowledge inside your own AI |
| CloudGo workspace | Included | Included | Available by scope |
| Cloud Advisor | 10 trial credits | Scoped usage | Integration dependent |
| Cloud & document context | Trial workflows | Defined source scope | Defined source scope |
| Persistent Context Graph | Explore the approach | Included | Core offering |
| Technical & executive outputs | Core workflows | Reports, diagrams & plans | Through your integration |
| API / MCP requirements | — | Discuss requirements | Technical evaluation |
| Private deployment & custom access requirements | — | Review during scoping | Review during scoping |
| Onboarding | Self-guided | Guided | Technical scoping |
Both use the same cloud knowledge and decision context. CloudGo Scale is the workspace for assessment, planning, and review. CloudGo Context is the integration offering for bringing that foundation into your own AI and internal tools, with API and MCP requirements agreed during scoping.
The scope depends on the environments, data sources, workflows, usage, integrations, and deployment requirements involved. We define those with you and provide a written proposal before you commit.
Yes. Revisit a past assessment or migration plan, or choose one current AI workflow. Agree the inputs and baseline, then compare delivery time, expert review effort, and source traceability before discussing expansion.
CloudGo Context is designed around bringing the knowledge layer into your existing tools. We review your intended integration and the capabilities available for it during technical scoping.
CloudGo supports analysis, planning, and review. Your team validates recommendations and controls implementation. Read-only cloud audits provide a way to assess an environment without granting write access.
Yes. Bring your data handling, access, isolation, and deployment requirements to the technical discussion. Availability and scope are agreed for the engagement; contact us for the current security and deployment details.
Tell us what your team is trying to achieve. We’ll help you find the right way to use CloudGo.
Plan your evaluation