How a Global Engineering Firm Reached 90%+ Drawing Validation Accuracy with AI
See how a global engineering firm achieved 90%+ drawing validation accuracy using an AI-powered engineering drawing validator.
A leading global engineering company was losing time and risking errors due to manual interpretation of dense 2D drawings. ConforgeLabs deployed an AI-powered OCR engine that extracts, classifies, and validates dimensions directly from drawings, hitting 90%+ accuracy and cutting manual review time by more than 70%.
Every Drawing Carried Hundreds of Values, and a Person Had to Check Each One.
The firm's engineering drawings routinely contained hundreds of dimensions, tolerances, and symbols, each one a value that had to be read, interpreted, and validated before design could move forward. Doing that by hand was slow, and slowness was the least of it. Manual interpretation at that density is error-prone: a misread tolerance or a missed callout doesn't just cost review time, it propagates into design delays and, downstream, into rework. The validation step meant to protect quality had become a bottleneck that threatened it. For a company delivering complex sustainable-energy and environmental engineering, where a single incorrect dimension can carry real cost, the team needed validation that was both faster and more consistent than a person working through hundreds of values under deadline pressure could reliably be.
“At a certain point you're asking an engineer to catch every one of hundreds of numbers, drawing after drawing. Eventually something slips, not because they're careless, but because they're human.”
