On-premise (closed-circuit) AI is a deployment in which the model and the data that feeds it run on the organization’s own infrastructure — its own servers or data center. Chats, documents and code never leave the organization’s boundary; nothing is sent to external services such as OpenAI, Microsoft or Google.
How it differs from cloud AI
| Dimension | Cloud AI | On-premise AI |
|---|---|---|
| Where data lives | Provider’s servers | Your own servers |
| Dependency | Subscription, internet | Installed system, can run offline |
| Ownership | Rent | Permanent installation |
| Compliance (KVKK/GDPR) | Depends on provider | Under your control |
When to choose it
- When data sovereignty and privacy come first (healthcare, finance, defense, industry).
- When regulation requires data to stay in-country or in-house.
- When a permanent asset is preferred over an ongoing subscription.
An on-premise deployment is typically grounded in the organization’s own knowledge via RAG, and in the strictest scenarios fully isolated from external networks via an air gap.
Where Chimera fits
This term corresponds to Chimera AI’s fully on-premise Platform line. The ERP-connected, cloud-assisted industry solutions use a different flow: raw data stays in-house and only context scrubbed of personal data leaves — closed-circuit/air-gap is not that line’s claim.