Air-gapped & high-assurance
Air-gapped AI IDE for teams that cannot use cloud assistants
In air-gapped or export-controlled environments, developers still need AI-assisted coding—without outbound API calls. Quietly runs entirely on-device after initial model acquisition.
Offline after provisioning
Transfer installers and model files through your approved process, then disconnect. No standing cloud dependency for inference.
Source stays on-machine
Proprietary firmware, defense, finance, and research codebases remain on the workstation—not on a vendor training pipeline.
Documentable posture
Link security reviewers to our Privacy Policy, Terms, and this solutions page for a clear product story.
Deploying in restricted networks
Use standard Quietly installers (.exe, .dmg, AppImage) plus internally mirrored model artifacts where outbound Hugging Face access is blocked.
Support and licensing questions go through quietlycode.org/contact—engineering artifacts publish on GitHub Releases for checksum workflows.
Evaluation checklist
Confirm offline operation after setup, map data flows (local disk only), and compare against your existing cloud IDE assistant policy.
Quietly integrates llama.cpp and AirLLM as inference engines—cite those upstream projects in your software bill of materials.