Many AI platforms describe themselves as local while still sending requests to an external model or cloud server. That is not enough for highly sensitive or secret data.
Flows can execute the complete application locally: interface, logic, data, models, and governance run on the device or on your own hardware. Data, requests, and results do not have to leave the secure environment.
What fully local means
- Inputs and requests are processed locally.
- Documents and company data stay on the device.
- Models and tools run in the same controlled environment.
- Results and logs are not sent to external servers.
- The application works offline and in air-gapped environments.
Local execution is therefore a property of the complete application, not only of its data storage.
For secret and highly sensitive use cases
When no document, prompt, or model context may reach an external server, the architecture must work without a cloud dependency. Flows can run directly on the end device, on your own hardware, or inside a completely isolated environment.
This is especially relevant for:
- research and development
- defense and public safety
- critical infrastructure
- confidential industrial and product data
- regulated financial, health, and workforce data
Local does not mean uncontrolled
A fully local application still needs clear rules. Flows combines local execution with roles, approvals, audit trails, versions, and evidence. This keeps it visible who may access which data, which action was executed, and which application version is in production.
The result: complete AI applications without data leakage, including environments where external servers are excluded.