Marketplace
COMPOSABLE FROM LIVE SERVICESBusiness Platform / control
AI Platform-as-a-Service
Operate governed AI capabilities for multiple users, teams or customers from one controlled platform.
Every building block (identity, workspace, gateway, edge) is live; the packaged multi-tenant commercial workflow is assembled per deployment.
Live workload cutawayArchitecture in context
AI Platform-as-a-Service
Signal path active6 deployment units
What this replaces
Organizations want shared AI but do not want every employee or customer managing separate provider accounts, keys and policies.
What your team gains
A multi-user AI service layer with centralized identity, model access, usage controls, shared knowledge and multiple delivery surfaces.
What is inside the blueprint
SSO and centralized user/group policy
Chat UI RBAC and per-resource permissions
SCIM user/group provisioning options
AI gateway virtual keys and per-project/user spend tracking
Budgets/rate limits
Model and provider abstraction
Shared or restricted knowledge bases
API access for apps/bots
Usage analytics and model evaluation
Multiple interfaces: web, Telegram, API, mobile/voice extensions
Foundation for tenant-specific branding and support tiers
How it fits the platform
Users/clients -> authentication -> chat UI/API -> AI gateway -> models + knowledge + tools; the relational database stores tenant/application state.
Included services
Authentication, Chat UI, AI Gateway, Relational database, Reverse proxy, Edge tunnel
Platform requirements
- AICORTEX Core PlatformThe multi-user platform is an assembly of Core-managed services.
- Private AI WorkspaceThe tenant-facing experience is the Private AI Workspace.
- Universal AI GatewayPer-tenant budgets, keys and model policy come from the Universal AI Gateway.
- Zero-Trust Edge & IdentityTenant SSO and private ingress come from the Zero-Trust Edge.
From prerequisites to operation
Prerequisites
- Core platform
- User/tenant model
- Commercial usage and support policy
- Provider/compute capacity
Deployment
- Define groups/tenants
- Provision SSO and workspace access
- Create model keys/budgets
- Segment knowledge/tools
- Publish tenant-facing routes/APIs
Configuration
- Roles/groups
- Model permissions
- Budgets
- Rate limits
- Knowledge access
- Branding
- API key policy
Operations
- Provisioning/deprovisioning
- Cost allocation
- Capacity
- Tenant isolation
- Support and audit
What this unlocks with other layers
Managed AI Business
A provider can sell governed AI access to teams and customers and track usage and cost centrally.
Technology behind this capability
Chat UIAI GatewayRelational databaseAuthenticationReverse proxyEdge tunnel