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Case study

How an AI-Powered Specification Checker Helped This Engineering Firm Hit 98%+ Accuracy

See how a global engineering firm achieved 98%+ validation accuracy using an AI-powered engineering specification checker.

IndustryEngineering (Sustainable Energy & Environmental Solutions)
Location Global engineering operations
How an AI-Powered Specification Checker Helped This Engineering Firm Hit 98%+ Accuracy
AI Drawing Validator

A leading global engineering company was validating critical technical values from documents and vendor certificates by hand, leading to slow, error-prone work that stalled projects. ConforgeLabs deployed an AI-powered specification checker that extracts and validates those values against datasheets and master data, reaching 98%+ accuracy and cutting manual review time by more than 80%.

98%+Accuracy in extracting and validating measurements
80%+Reduction in manual review time
FasterExtraction and validation with shorter review cycles
Challenge

Critical Values Were Buried in Documents, and Each One Had to Be Checked by Hand.

The firm's engineering documents and vendor certificates carried critical technical values, the kind that have to be exactly right, and each one had to be extracted and validated against datasheets or master data before work could move forward. Doing that manually was time-consuming, but the deeper problem was reliability. Reading values off dense documents and cross-checking them against reference data by hand is error-prone, and the errors don't stay contained: they surface as inconsistencies, delays, and operational inefficiency downstream. The step meant to guarantee that specifications matched the source of truth had itself become a source of risk. For a company delivering complex sustainable-energy and environmental engineering, where a single mismatched value against a vendor certificate can carry real cost, the team needed validation that was faster and consistently error-free and not dependent on how much attention a person could sustain across document after document.

Lead, Engineering Validation

We were asking people to cross-check hundreds of values against datasheets by eye. It works until it doesn't, and when it doesn't, you find out downstream.

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