International development and humanitarian aid organizations process enormous volumes of documents every day — grant proposals, beneficiary registration forms, situation reports, expenditure reports, procurement records, sub-grant agreements, household survey forms, and field monitoring reports, the list goes on.
Inaccurate or delayed document processing slows funding cycles and creates compliance gaps that put program delivery at risk.
LandingAI transforms documents into highly accurate, verifiable, structured data so teams can reliably automate document-intensive workflows.
Development and humanitarian organizations submit financial and programmatic reports to multiple donors simultaneously, each with distinct templates and data requirements, and accurate extraction across all of them is the foundation of continued funding.

Every extracted value is grounded to its precise location in the source document, giving program and finance teams a defensible evidence trail that satisfies donor audit requirements without manual re-verification.

When funding disbursements are contingent on timely submission of compliant documentation, faster extraction of field data and financial records directly reduces the gap between program activity and resource availability.

Intelligent document processing across emergency response, long-term development programming, refugee and displacement operations, and grant management across implementing partners 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 financial and narrative data from progress reports, expenditure statements, and supporting documentation to meet the distinct reporting templates and compliance requirements of multiple institutional donors.
Process high-volume beneficiary intake across registration forms, identity documents, household survey forms, and vulnerability assessments to determine eligibility and maintain accurate program rosters.
Extract and organize expenditure evidence from supplier invoices, purchase orders, goods received notes, and bank statements to support financial audits and donor compliance reviews.
Agentic Document Extraction enables international development and humanitarian aid 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 →