Topic
A local LLM runs inside your own control boundary rather than calling a public provider, so documents, prompts, and outputs never leave the perimeter. For CUI and PHI this is often the difference between a simple assessment boundary and a months-long shared-responsibility argument. These articles cover the trade-offs.
3 articles · Custom LLM Systems

Cloud AI is a "FedRAMP Moderate" trap when CUI is on the line. Local LLMs are the only architecture that gives a C3PAO assessor a clean boundary, simple data flow, and zero training-leakage risk. Federal-first. SDVOSB Pending.

Pasting CUI into a public LLM directly conflicts with DFARS 252.204-7012, NIST SP 800-171, and federal control expectations. Here is the federal-first 30-day path to a local, audit-ready AI stack — for US Federal and DIB teams.

Public cloud LLMs are a black box you do not own. Here is why local LLMs hosted inside your VPC are the only way to combine 2026-grade AI horsepower with bank-level encryption and total data sovereignty.
These articles describe how we build. If you have a live requirement, the Custom LLM Systems page covers what an engagement looks like.
Custom LLM Systems