Specification Analysis
AI that parses, interprets, and extracts requirements from project specifications.
Definition
Specification Analysis uses natural language processing to understand and extract structured information from project specifications. These AI systems can identify material requirements, performance criteria, testing standards, and submittal requirements from specification sections. This enables automated compliance checking, intelligent specification writing, and rapid comparison of specifications across projects.
In Depth
Specification analysis parses construction specifications to extract requirements, identify cross-references, and map the relationships between sections. AI reads the specification structure and makes it queryable — enabling instant lookup of product requirements, installation procedures, and quality assurance provisions.
Examples
Extracting all material requirements from Division 09 specifications
Comparing specification requirements against submitted product data
Identifying conflicts between architectural and structural specifications
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Frequently Asked Questions
Specification Analysis uses natural language processing to understand and extract structured information from project specifications. These AI systems can identify material requirements, performance criteria, testing standards, and submittal requirements from specification sections. This enables automated compliance checking, intelligent specification writing, and rapid comparison of specifications across projects.
Extracting all material requirements from Division 09 specifications. Comparing specification requirements against submitted product data. Identifying conflicts between architectural and structural specifications.
Automated Submittal Review: Let AI do the first-pass review of submittal packages against your drawings and specs. Project Research: Get AI-drafted responses to RFIs using your project documentation.