Aerospace and defense companies process millions of documents every day—First Article Inspection Reports, material certifications, FAA Form 8130-3 authorized release certificates, certified cost and pricing data submissions, DD Form 250 material inspection records, engineering change proposals, ITAR export license documentation, airworthiness directive compliance records, and Contract Data Requirements Lists, the list goes on.
Record gaps in supplier qualification, maintenance, and cost compliance create audit findings and production delays that scale with program volume.
LandingAI transforms documents into highly accurate, verifiable, structured data so teams can reliably automate document-intensive workflows.
Every extracted value from maintenance records, certified cost and pricing data submissions, and material certifications is grounded to a precise location in the source document, giving quality, program, and compliance teams the audit trail that DCAA reviews, FAA Part 145 audits, and AS9100 certification assessments require.

Aerospace and defense documents span handwritten aircraft maintenance logs, three-form AS9102 First Article Inspection Reports with embedded dimensional tables, dense cost and pricing data submissions, and multi-volume engineering change proposals; agentic extraction handles all of them without document-specific configuration.

Compressing document processing cycle times across First Article Inspection qualification, cost audit preparation, and maintenance record compliance reduces the administrative delays that push back production release authorizations, extend DCAA audit cycles, and hold up aircraft return-to-service after maintenance.

Intelligent document processing across defense acquisition and program management, commercial aerospace manufacturing and supply chain, MRO and sustainment operations, and export control and international programs 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 part number accountability records, material certifications, NADCAP special process approvals, dimensional characteristic verifications, and functional test results from AS9102 Form 1, Form 2, and Form 3 documents, material certifications, and FAA 8130-3 authorized release certificates to validate supplier conformance and authorize production release for flight-critical components.
Extract labor rate data, material cost buildup details, overhead allocation records, and TINA certification documentation from certified cost and pricing data submissions, contractor business system records, make-or-buy analysis documents, and incurred cost reports to support government contract proposals and DCAA audit readiness across program lifecycles.
Extract work descriptions, technician certificate numbers, airworthiness directive compliance records, installed part traceability data, and inspection sign-offs from aircraft maintenance records, FAA Form 337 major repair documentation, and Part 145 quality control records to support FAA audit readiness and aircraft return-to-service authorization.
Agentic Document Extraction enables aerospace and defense organizations 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.”
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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 →