Construction materials companies process millions of documents every day—batch tickets, delivery tickets, mill test reports, concrete quality control test reports, ASTM compliance certificates, environmental product declarations, LEED material submittals, and Buy America self-certification letters, the list goes on.
Traceability gaps in quality and batch records slow investigations, delay project delivery, and put compliance certifications at risk.
LandingAI transforms documents into highly accurate, verifiable, structured data so teams can reliably automate document-intensive workflows.
Every extracted batch record, test result, and certification is grounded to a precise location in the source document, giving quality and regulatory teams the audit trail that ASTM compliance reviews, product recall investigations, and third-party certification audits require.

Construction materials documents span handwritten field batch tickets, dense tabular mill test reports, multi-format supplier quality certifications, and LEED submittal packages from dozens of manufacturers; agentic extraction handles all of them without document-specific configuration.

Compressing document processing cycle times across batch record review, material certification verification, and compliance submittal preparation reduces the administrative delays that push back project delivery schedules and hold up payments tied to material documentation milestones.

Intelligent document processing across building materials manufacturing, ready-mix concrete and aggregates, specialty materials distribution, and construction products supply chain is extremely difficult due to the sheer diversity of document types, the inconsistent layouts and the domain expertise required. Then add multiple languages, handwriting, photographs, scans and faxes to the complexity.
Accurate parsing of dense tables that span multiple pages and contain merged cells.
Single pipeline for image, slide, document, and spreadsheet file types with 1000+ pages.
Strong recognition of character-based languages, handwriting, checkboxes, stamps and signatures.
Schema-driven field extraction with visual grounding traceable to the original document.
Extract mix design specifications, aggregate moisture readings, slump and air content test results, and compressive strength data from batch tickets, delivery tickets, concrete quality control test reports, and supplier ASTM test reports to support product quality verification and rapid traceability during recall or dispute investigations.
Extract product specifications, recycled content percentages, chain-of-custody certificate numbers, and responsible sourcing declarations from environmental product declarations, FSC and SFI chain-of-custody certificates, LEED submittal forms, and manufacturer sustainability reports to support green building certification documentation across multi-manufacturer project submittals.
Extract domestic content percentages, country-of-origin details, material test certificate data, and smelter identification from Buy America self-certification letters, Declarations of Performance, mill test reports, and Conflict Minerals Reporting Templates to verify compliance with federal procurement requirements and international product certification standards.
Agentic Document Extraction enables construction materials companies to automate document-intensive processes that traditionally require manual review.
Agentic Document Extraction has proven to be both accurate and easy to use. We are building on that foundation to deliver reliable, transparent, and scalable automation that our customers can validate and trust.”
View case study →
ADE has significantly outperformed other document extractors we’ve used. It has helped us build an Agentic RAG answer engine, based on unique healthcare institutional content, to offer instant, validated support to medical professionals at the point of care.”
View case study →Trust is the product. Accuracy alone isn’t enough at enterprise scale—what matters is provenance, traceability, and control. LandingAI gives us confidence that every extracted value can be traced back to its source, audited, and defended. That’s what makes it deployable in regulated, real-world environments.”
View case study →
Agentic Document Extraction has proven to be both accurate and easy to use. We are building on that foundation to deliver reliable, transparent, and scalable automation that our customers can validate and trust.”
View case study →
ADE has significantly outperformed other document extractors we’ve used. It has helped us build an Agentic RAG answer engine, based on unique healthcare institutional content, to offer instant, validated support to medical professionals at the point of care.”
View case study →Trust is the product. Accuracy alone isn’t enough at enterprise scale—what matters is provenance, traceability, and control. LandingAI gives us confidence that every extracted value can be traced back to its source, audited, and defended. That’s what makes it deployable in regulated, real-world environments.”
View case study →