Commercial packages for governed enterprise AI agents and AI applications.
Gaia commercial packaging is structured around platform access, onboarding posture, and support model. Package selection is driven primarily by deployment and control needs, not by a one-size-fits-all price list.
AI usage, custom engineering, and managed operational add-ons are scoped separately so the package matches your actual rollout shape.
Public documentation and live walkthroughs can then focus on the package, deployment model, and rollout shape that best match your organization.
Best for a single team that wants a Gaia-managed environment and a guided launch path.
Deployment and control
Shared but isolated Gaia-hosted instance
Included onboarding
Structured onboarding for one team, baseline configuration guidance, and launch planning.
Support posture
Standard platform support with partner-led delivery and Gaia escalation when needed.
Best for organizations running several teams or business units that need dedicated hosting.
Deployment and control
Dedicated Gaia-hosted instance
Included onboarding
Expanded onboarding for multi-team setup, governance alignment, and rollout planning.
Support posture
Enhanced platform support delivered by qualified partners or directly by the Gaia team.
Best for organizations that need organization-hosted deployment, stricter controls, or wider rollout complexity.
Deployment and control
Organization-hosted in your cloud or on-premises environment
Included onboarding
Solution design, architecture alignment, and enterprise rollout planning matched to internal controls.
Support posture
Enterprise-grade support from the Gaia team and certified delivery partners.
Start with deployment and control requirements.
The right package follows from where Gaia must run, how much operational separation you need, and what enablement model your teams require.
Choose the package that matches where Gaia must run, how isolated it must be, and how much infrastructure control your organization requires.
Package choice should reflect whether you are launching with one team, multiple delivery groups, or a broader enterprise operating model.
Match the package to the onboarding depth, partner involvement, and support model needed to run AI delivery with confidence.
What is scoped separately
Packages cover the platform, onboarding posture, and support model. Variable commercial elements are scoped only where they are needed.
AI usage and model spend are scoped separately from the platform package.
Custom integrations, co-development, and solution-specific engineering are commercially scoped per engagement.
Managed operations, enhanced SLAs, and compliance-specific operational requirements are added only where needed.
A short process before onboarding begins.
We keep commercial scoping lightweight, but explicit enough to align package, governance, architecture, and rollout expectations.
We review your use cases, delivery scope, and governance posture to identify the right package starting point.
We validate hosting model, environment separation, identity, security, and AI governance requirements.
We define the package, onboarding posture, support scope, and any separately scoped work such as usage or custom engineering.
We agree the launch path, enablement plan, and delivery ownership model before onboarding starts.
Deployment models explained
Each package is anchored in a deployment model that matches your control and isolation requirements.
Infrastructure is shared across organizations, while tenant isolation is preserved across runtime and data boundaries.
A dedicated Gaia environment is provisioned for your organization to support stronger operational separation.
Gaia runs inside your cloud account or on-premises environment when residency, security, or control requirements are stricter.
Infrastructure coverage
Enterprise deployment planning can align to the major cloud environments you already operate, including organization-hosted and on-premises options.
Microsoft Azure
Google Cloud
Amazon AWS
Oracle OCIGovernance proof stays available later in the buying flow.
If governance matters in your evaluation, you can inspect the documented module after you understand the package, deployment model, and rollout shape.