Law firms and legal departments use private AI to analyze and work with sensitive documents without external data exposure.
Common use cases
Why it fits
Legal confidentiality obligations remain inside your environment.
Government teams use private AI in restricted and offline environments.
Common use cases
Why it fits
Supports offline and restricted network deployment.
Healthcare organizations use private AI to work with protected information while maintaining strict data handling boundaries.
Common use cases
Why it fits
Supports privacy‑sensitive workflows without external processing paths.
Financial teams use private AI for analysis and reporting without exposing proprietary or regulated data.
Common use cases
Why it fits
Reduces third‑party data processor exposure.
Researchers use private AI to work with unpublished or proprietary material.
Common use cases
Why it fits
Protects unpublished and proprietary material.
Executives use private AI for confidential strategy and decision support.
Common use cases
Why it fits
No exposure of strategic or board‑level information.
Common use cases
Why it fits
Keeps personal data on your own system.
Same architecture. Different industries. Consistent privacy model.
Zero-network by design
No cloud uploads
No external APIs
Air-gap compatible
Private AI software designed for sensitive work.