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Document Processing in Semiconductors

Semiconductor companies process millions of documents every day—process specifications, engineering change orders, component datasheets, wafer lot travelers, test reports, supplier qualification packages, export license applications, and RoHS compliance declarations, the list goes on.

Engineering change discrepancies delay production and introduce yield risk, while inaccurate export classification creates compliance exposure across global supply chains.

LandingAI transforms documents into highly accurate, verifiable, structured data so teams can reliably automate document-intensive workflows.

Why Agentic Document Extraction for
Semiconductors

Traceable Outputs for Export Compliance

Every extracted classification, end-use statement, and certification field is grounded to a precise location in the source document, giving trade compliance teams the audit trail that ITAR, EAR, and BIS enforcement demands.

Traceable Outputs for Export Compliance

Accurate across Technical Document Formats

Semiconductor documents span dense process specifications, multi-page test reports, structured component datasheets, and handwritten lot travelers; agentic extraction handles all of them without document-specific configuration.

Accurate across Technical Document Formats

Speed That Compresses Change Cycles

Automating data extraction across engineering change orders, supplier qualification packages, and product change notifications reduces the administrative cycle time that delays validated production and new product introduction.

Speed That Compresses Change Cycles
Key capabilities

Built for Complex Semiconductor Documents

Intelligent document processing across chip design, wafer fabrication, assembly and test, and supply chain distribution 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.

Use cases

Export Compliance & Trade Classification

Export Compliance & Trade Classification

Extract classification details, end-use statements, and certification data from export license applications, export control classification records, customer end-use certificates, and ITAR compliance certifications to support accurate and defensible trade filings.

Impact
  • Accelerate export license processing to reduce shipment delays and protect customer delivery commitments
  • Reduce trade compliance staff hours spent on manual document review and classification
  • Minimize penalty exposure from misclassification errors with traceable, auditable classification records
Supplier Qualification & Component Verification

Supplier Qualification & Component Verification

Extract component specifications, test results, and certification status from supplier qualification documents, component datasheets, certificates of conformance, and material declaration forms to validate approved sources and flag non-compliant materials.

Impact
  • Accelerate approved vendor list qualification to reduce sourcing lead times and protect production schedules
  • Cut engineering and procurement hours spent manually reviewing qualification packages from global suppliers
  • Reduce counterfeit component and material compliance risk with complete, traceable qualification records
Engineering Change Management

Engineering Change Management

Extract affected part numbers, change descriptions, implementation requirements, and approval records from engineering change orders, product change notifications, and engineering change notices to synchronize updates across bills of materials, process specifications, and test documentation.

Impact
  • Compress engineering change cycle times to reduce time-to-validated-production on design changes
  • Eliminate manual cross-document reconciliation across bills of materials, process specifications, and quality records
  • Maintain a complete, traceable change history that satisfies quality management system audit requirements

Trusted for Document-Heavy Semiconductor Workflows

Agentic Document Extraction enables semiconductor 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 →
Business Process Automation
Neil Walker
Neil WalkerHead of Product, TCG Process
TCG Process

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 →
Fortune 100 Financial Services
Head of Data & Analytics, Global Financial Services Firm

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 →
HealthTech Platform
Dr. Declan Kelly
Dr. Declan KellyFounder and CEO, Eolas Medical
Eolas Medical

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 →
Business Process Automation
Neil Walker
Neil WalkerHead of Product, TCG Process
TCG Process

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 →
Fortune 100 Financial Services
Head of Data & Analytics, Global Financial Services Firm

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 →
HealthTech Platform
Dr. Declan Kelly
Dr. Declan KellyFounder and CEO, Eolas Medical
Eolas Medical

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