AI Training Data Scanning

A leading healthcare AI company partnered with ARC to digitize over 50 million pages of medical research journals spanning the past 60 years. The project required scanning at high speed with HIPAA-compliant handling to ensure confidentiality. Once digitized, the documents were indexed and tagged, creating an AI-ready dataset that helped train models to recognize rare disease patterns and recommend treatment protocols.

An AI startup focused on cultural and linguistic analysis turned to ARC to digitize decades of archived newspapers and magazines from across the United States. ARC’s large-format scanners and OCR capabilities converted fragile documents into structured datasets, enabling the company’s language models to understand historical context, archaic phrasing, and regional dialects. The result was an AI tool capable of analyzing shifts in public sentiment over time.

A global tech company building AI for construction and design relied on ARC to scan hundreds of thousands of engineering drawings, architectural plans, and utility schematics. ARC’s specialized wide-format equipment captured every detail, while advanced OCR indexed the text and labels. The digitized dataset allowed the client’s AI system to learn how to interpret and evaluate complex technical diagrams—cutting design review times significantly.

A major social media company partnered with ARC to undertake one of the largest scanning projects in history—digitizing millions of books alongside corporate records and training manuals. Leveraging ARC’s largest scanning facility in the world, the project processed millions of pages each week. The resulting digital library became a cornerstone for the company’s AI training, enabling their systems to learn from a diverse range of authoritative texts and build richer, more accurate language models.