AI in Action
Real projects where AI delivered measurable results.
Years of postponed work — done in two days
A global manufacturer faced a Tuesday deadline to deliver 40,000 GSA-compliant product descriptions to the US government procurement system. Each product had 100+ technical properties in raw data dumps — no human-readable descriptions existed.
One week from unstructured PDFs to queryable database
Decades of product compatibility data existed only in 800+ PDF documents. No structured database, no API, no way to answer 'what fits my machine?' without manually searching through documents.
Early 2023 — before RAG became an industry buzzword
A team of 40 developers maintained a codebase built over 15 years. Their 1,000-page internal wiki held the answers, but search couldn't surface them effectively. We built what is now called a RAG system — Retrieval-Augmented Generation — a technique where AI retrieves relevant documentation before generating an answer, grounding responses in actual source material rather than guessing.
Onboarding time for a proprietary programming language — dramatically reduced
A department used a proprietary programming language for industrial tool path generation. New employees faced a steep learning curve with no external resources — the language existed nowhere outside the organization. Their only reference was an extensive internal wiki, too large for anyone to consume in full.
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