Background:

Strict customer NDAs and corporate trade secrets meant uploading proprietary files to public cloud LLMs (ChatGPT) was strictly forbidden due to Shadow AI and data leakage risks.

Challenges:
It's 2024, a C-level VP talks to us. The engineers always receive an urgent call or email from a Tier-1 client. For example, the client may ask

"What is the absolute maximum -------- tolerance of this material? If it reaches end-of-life, what are the certified drop-in alternatives? We need this for tomorrow morning’s 9:00 AM board review."

The answers existed within the company — buried across hundreds of confidential datasheets, lab test reports, weekly R&D meetings, and archived customer complaint resolution files from long ago. The problem? Only some of the senior R&D engineers with more than 5 years of experience knew where to look.

Solution:

The advanced manufacturing company deployed AIthena with the customized knowledge bank by Avalanche Computing—a 100% air-gapped, on-premise Generative AI platform deployed behind the company's private firewall:

Air-Gapped Private Knowledge Base: Ingested decades of internal product specs, engineering SOPs, lab validation logs, and weekly R&D log/histories directly onto dedicated local knowledge base with zero cloud dependency.

Verifiable Source Attribution: Enabled precise citations for zero-hallucination verification. When team member queries the system in natural language via a secure mobile interface, AIthena returns validated technical answers in seconds, citing the exact file name and page number. This helps the engineers to answer the clients' questions precisely and quickly. And then solve the problem.