Industries
AI Document Processing for Manufacturing & Engineering
Manufacturing and engineering companies generate hundreds of documents every day that are critical for quality assurance, compliance, and traceability: material certificates per EN 10204, field service reports, equipment maintenance logs, and supplier invoices with complex purchase order references. These documents arrive as scans, PDFs, or even handwritten notes — yet they must be structured, verified, and transferred into ERP systems. feld.ai automates exactly these processes: AI-powered document processing built for the demands of the manufacturing industry — hosted in the EU, with no US cloud dependency.
Typical Documents
Material Certificates (EN 10204)
Automatically extract chemical composition, mechanical properties, and test results from certificates per EN 10204. The platform recognizes certificate types (2.2, 3.1, 3.2), maps heat and melt numbers, and verifies conformity against order specifications. Tabular test protocols with tensile strength, yield strength, and impact energy are reliably digitized — regardless of the certificate issuer's layout.
Service Reports
Capture findings, completed work, and spare parts from service reports in a structured format. Whether commissioning protocols, fault reports, or routine inspection records — feld.ai extracts equipment identifiers, error codes, labor hours, and installed spare parts. The structured data flows directly into your maintenance management system and forms the basis for predictive maintenance planning.
Maintenance Logs
Digitize inspection intervals, measurements, and sign-offs from maintenance logs. Recurring inspections mandated by regulatory requirements or manufacturer specifications generate extensive documentation. feld.ai captures test dates, measurement results, threshold exceedances, and approval status — making the entire maintenance history of an asset searchable and audit-ready.
Supplier Invoices
Automatically match and code invoices against purchase orders. In manufacturing, incoming invoices frequently reference purchase order numbers, delivery notes, and framework agreements. feld.ai extracts all relevant line items, performs three-way matching (purchase order, delivery note, invoice), and prepares the data for automated posting in your ERP system.
What feld.ai Delivers
The document landscape in manufacturing is heterogeneous: material certificates arrive from dozens of suppliers in different formats, service reports are captured on tablets or paper in the field, maintenance logs follow plant- or equipment-specific templates. feld.ai was built to handle this diversity. The platform uses specialized AI models for table extraction, handwriting recognition, and layout analysis — combined with domain-specific knowledge of standards such as EN 10204, ISO 9001, and IATF 16949.
For material certificates, feld.ai analyzes both manufacturer and inspection certificates (type 3.1 and 3.2). The extracted material properties — chemical analysis, mechanical values, non-destructive testing results — are checked against your order specifications and applicable standards. Deviations are flagged automatically. For service reports and maintenance logs, the platform detects recurring patterns and links new entries to the existing asset history. The result is a seamless digital maintenance record that serves as the foundation for predictive maintenance and audit readiness.
Global supply chains add complexity: certificates and reports arrive in multiple languages — German, English, Chinese, Turkish. feld.ai processes documents in over 50 languages and normalizes extracted data into a unified format. Integration with SAP, proALPHA, Microsoft Dynamics, or industry-specific MES and CMMS systems is provided through standardized interfaces. Extracted data is delivered in the target format — no media breaks, no manual re-entry.
Why feld.ai
Table Extraction
Material certificates contain complex tables with nested columns, units, and threshold values — feld.ai extracts them reliably. The AI models are trained on industrial document formats and recognize multi-page tables, merged cells, and varying layouts across different certificate issuers. Results are delivered as structured datasets that can be imported directly into quality management systems.
EU-Sovereign
No US cloud. Dedicated servers in Austria. Suitable for ITAR- and EAR-sensitive documentation. In the defense and aerospace industry, strict export control regulations apply — feld.ai meets these requirements through complete data processing within the EU. No data is shared with third-party providers, no training on your documents without your explicit approval.
ERP Integration
Seamless connectivity with SAP, proALPHA, and industry-specific systems. Extracted data from material certificates flows into your quality management, invoice data into your financial accounting, and maintenance data into your CMMS — all through standardized APIs and configurable export formats. Integration requires no changes to your existing IT infrastructure.
Related Solutions
Data Extraction from Records — Structure, index, and search large document archives with AI-powered extraction.
Excel Table Processing — Automatically ingest, validate, and transform data from Excel and CSV files.
Document Classification — Automatically sort incoming documents by type, priority, and responsibility.
Frequently Asked Questions
How are material certificates per EN 10204 processed?
feld.ai recognizes certificate types (2.2, 3.1, 3.2), extracts chemical composition, mechanical properties, and test results, and maps heat and melt numbers. Extracted data is checked against your order specifications — deviations are flagged automatically.
Does three-way matching work for supplier invoices?
Yes. feld.ai extracts invoice line items, matches them against purchase orders and delivery notes, and identifies discrepancies in quantities, prices, and conditions. Three-way matching (purchase order, delivery note, invoice) runs automatically — only deviations require manual review.
Can handwritten entries in service reports be read?
Yes. feld.ai uses specialized AI models for handwriting recognition (ICR). Handwritten findings, measurements, and notes in service reports, maintenance logs, and inspection records are recognized and converted into structured data.
How does ERP integration with SAP or proALPHA work?
feld.ai offers a REST API and configurable export formats for integration with SAP, proALPHA, Microsoft Dynamics, and other ERP systems. Extracted data is delivered in the target format — no changes to your existing IT infrastructure required.
Is feld.ai suitable for ITAR- and EAR-sensitive documentation?
Yes. feld.ai processes all data on its own servers in the EU — with no US cloud provider. For the defense and aerospace industry with strict export control regulations, feld.ai provides complete data sovereignty within the EU. On-premises installation is available.