How a Global Engineering Firm Deployed an AI Assistant with 0% Data Exposure Across Confidential Documents
See how a global engineering firm deployed an AI assistant for confidential documents while keeping sensitive data fully private.
A leading global engineering company wanted the speed of tools like ChatGPT and Perplexity turned on its own technical documents, but its confidential data could never be uploaded to public AI. ConforgeLabs built a private enterprise GPT that unifies conversational intelligence, deep search, and secure in-house document analysis, answering complex queries against sensitive internal files without a byte leaving the organization.
The Tools That Could Help Fastest Were the Ones the Firm Couldn't Safely Use.
The firm's engineers and analysts routinely needed answers out of large technical documents and data scattered across internal sources. Finding those answers meant manual lookup, opening file after file, reading through specifications, and piecing information together by hand. It was slow, it varied from person to person, and at that scale it was prone to error. Public AI tools were the obvious accelerant and exactly what the firm couldn't reach for. Organization-specific confidential data can't be uploaded to services like ChatGPT without handing it outside the company's control, which ruled those tools out for precisely the internal workflows where they'd have helped most. The firm was caught between the speed of modern AI and the non-negotiable requirement that sensitive engineering data never leave its walls.
“The honest answer for a long time was 'don't put anything real into it.' Which meant the tool everyone wanted to use was off-limits for the work that mattered.”
