Your security boundary
The Model Council runs where you choose. Customer data does not need to enter Swiss Cheese AI infrastructure.
Model Council as a Service for teams that need independent AI generation, challenge and synthesis without moving confidential work into another SaaS data store.
Deploy SCAI inside your VPC, Kubernetes cluster or private network. The runtime is configured by the customer and does not persist prompt or document content.
The Model Council runs where you choose. Customer data does not need to enter Swiss Cheese AI infrastructure.
Model destinations are deployment configuration. API callers cannot replace or redirect the configured model endpoints.
Requests are processed in memory. Runtime logs can remain limited to operational metadata rather than customer content.
The orchestration stays consistent while the customer controls deployment, network policy and model access.
Your application sends one request to the local SCAI runtime and receives an integrated council result.
Request
Authorization: Bearer <runtime-token>
Content-Type: application/json
{
"input": "Review this verification protocol for unsupported claims.",
"context": "Optional customer context",
"metadata": {
"document_id": "VP-104"
}
}Response
{
"output": "Integrated council result...",
"council": {
"generator": { "model": "..." },
"evaluators": [
{ "model": "..." },
{ "model": "..." }
],
"integrator": { "model": "..." }
},
"policy": {
"persisted": false,
"requestDefinedModels": false
}
}Choose how closely the runtime needs to stay inside the customer's architecture.
| Mode | Where SCAI runs | Customer content reaches SCAI cloud |
|---|---|---|
| ✓Cloud API | Swiss Cheese AI infrastructure | Yes |
| ✓Private Runtime | Customer VPC / cluster / private network | No |
| ✓Air-gapped | Customer-controlled isolated environment | No |
Not by design. The private runtime processes the request inside the customer's environment and can be restricted by customer-controlled network policy so prompt and document content never routes to Swiss Cheese AI infrastructure.
No. Model endpoints are deployment configuration, not request parameters. This prevents application callers from redirecting sensitive content to an unapproved destination.
Network egress, model credentials, approved endpoints, infrastructure logging, encryption, retention and audit storage can remain under the customer's own controls and policies.
Model Council as a Service, without giving up your security boundary.