Private AI

Running AI Privately

When internal AI makes more sense than exposing confidential work to another provider.

Business and technical teams

Published 2026-08-11

Private AI is usually about data sensitivity, control, and long-term operating cost. If the information is important, the architecture should not treat exposure as a default.

The right answer might still include external APIs. The important part is that the control boundary is deliberate.