AI Named Entity Recognition for Construction

Named entity recognition (NER) for construction identifies and classifies specific entities mentioned in project documents — product names, company names, code references, specification sections, drawing numbers, material types, and project-specific identifiers. This is the underlying technology that enables AI to understand references within construction documents.

In a specification, NER identifies that "Sika 521 UV" is a product name, "ASTM C920" is a test standard reference, "Section 07 92 00" is a specification section reference, and "Detail 5/A5.3" is a drawing reference. In an RFI, NER identifies which specification sections, drawing sheets, and building areas are being discussed. This entity identification is what allows AI to cross-reference between documents — connecting an RFI about a sealant product to the relevant specification section and drawing details.

For project search, NER enables precise queries. When someone searches for "Sika 521 UV," the AI does not just look for that text string — it understands that it is a product name, finds all documents that reference it (spec sections, submittals, RFIs, meeting minutes), and presents the results organized by document type and context. This structured understanding of what entities are in each document makes search results dramatically more useful than simple text matching.