PRICING

Start with one challenge.
Grow from there.

Try the workspace. Equip your team. Or connect the knowledge layer to your own AI. Choose the starting point that fits how you work.

Free Trial

Explore the workspace and see how CloudGo approaches a cloud decision.

Free

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
Best for individual evaluation

CloudGo Context

Bring the knowledge layer into your existing AI and internal tools.

Custom

Scoped to your integration

Explore an API pilot
  • Connect through API or MCP
  • Live, structured cloud infrastructure context
  • Persistent resource and dependency understanding
  • Company documentation, standards and cloud knowledge
  • Context optimized for each AI request
  • Use across your existing agents, models and workflows
Best for AI and engineering teams

A clear scope before you commit.

For 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.

Let’s find your fit
FIND YOUR STARTING POINT

Choose how you put context to work.

Your needsFree TrialCloudGo ScaleCloudGo Context
Primary useIndividual explorationTeam decisions & deliveryKnowledge inside your own AI
CloudGo workspaceIncludedIncludedAvailable by scope
Cloud Advisor10 trial creditsScoped usageIntegration dependent
Cloud & document contextTrial workflowsDefined source scopeDefined source scope
Persistent Context GraphExplore the approachIncludedCore offering
Technical & executive outputsCore workflowsReports, diagrams & plansThrough your integration
API / MCP requirements—Discuss requirementsTechnical evaluation
Private deployment & custom access requirements—Review during scopingReview during scoping
OnboardingSelf-guidedGuidedTechnical scoping
A FEW THINGS YOU MAY BE WONDERING

Good questions. Clear answers.

What’s the difference between Scale and Context?

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.

Why are Scale and Context custom-priced?

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.

Can we start with a single project?

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.

Do I need to replace the AI tools we already use?

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.

Does CloudGo make production changes automatically?

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.

Can we discuss security or private deployment?

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.

ONE WORKFLOW. A MEASURABLE START.

A better starting point
for your next decision.

Tell us what your team is trying to achieve. We’ll help you find the right way to use CloudGo.

Plan your evaluation
CONTEXT CHANGES EVERYTHING.