Private AI
Private AI: Keep Sensitive Data Under Your Control.
For privileged, regulated, and proprietary workflows where the data boundary matters as much as the model.
Four-time Microsoft Solutions Partner: Security, Data & AI, Azure Infrastructure, and Digital & App Innovation. Founder-led engineering experience since 1999.
Who needs it
Law firms, healthcare, financial services, energy operators, government contractors, and any organization whose answer to “can this go to a public AI API?” is no.
What we build
- Local or tenant-isolated inference stacks.
- Document, image, audio, and video ingestion pipelines.
- Identity, access control, audit logging, and retention controls.
- Operational handoff or managed operation by Bonelli.
Proof pattern
Bonelli built a fully local evidence-processing system for a McKinney, Texas criminal defense firm. The system processes privileged legal media inside the firm control boundary: transcription, speaker diarization, document and image extraction, and search. The firm and attorney are intentionally not named.
What we will tell you that others may not
Local AI is not free AI. It requires hardware and operations discipline, and there is a workload size below which the cloud may be cheaper. We will tell you if you are below it.