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CloudSigma AI Mission Control

Architecture

Policy first, then route.

Mission Control evaluates identity and key policy before selecting an eligible model lane. Available models and locations depend on the selected service lane.

PolicyIdentityModelsLocationSpend

Current + assisted

The governed request path

Assisted onboardingCustomer-owned GPU capacity

Connected after architecture, serving, security and operational review — not automatic self-service enrolment.

Capabilities and boundaries

Designed for decisions you can explain.

Each capability below describes its operating scope so technical and commercial teams can evaluate the same proposition.

01

1. Authenticate and scope

A request arrives through a documented endpoint. The API key establishes its organisation, project and allowed model, supplier and region scope.

  • Credential validation
  • Organisation and project context
  • Endpoint-specific input validation
02

2. Apply policy and select

Direct model requests retain the caller's choice. Opt-in chat autorouting considers eligible models using configured constraints and available fit, cost and health signals.

  • Policy eligibility before routing
  • Regional and supplier restrictions retained
  • No routing outside configured lanes
03

3. Execute and observe

The request is sent to an eligible hosted, direct-provider or integrated infrastructure lane, then metered for operational and billing records.

  • Current: supported managed and direct-provider lanes
  • Assisted: customer-owned GPU onboarding and integration
  • Response, usage and route evidence returned to the platform

Make the next decision concrete

Map Mission Control to your AI estate.

Review workload, control, spending, location and integration requirements with our team.