FinGuard

FinGuard's commercial lending division processes 14,000 loan applications per month, each requiring analysis of 30-80 pages of financial documents: tax returns, bank statements, financial projections, and collateral appraisals. Loan officers spent 60% of their time on document review rather than client advisory. Average time-to-decision was 18 business days, causing high-value borrowers to defect to faster-moving competitors.

Mixpeek extracts structured data from every document type in the loan package using modality-aware feature extractors that understand tables, charts, handwritten annotations, and narrative text. A custom retriever pipeline cross-references extracted financials against internal risk models and regulatory requirements, surfacing discrepancies and risk factors automatically. Loan officers receive a pre-populated risk summary instead of a stack of PDFs.

The pilot covered the mid-market lending segment (loans $5M-$50M) to minimize regulatory risk during validation. Documents are uploaded through FinGuard's existing loan origination system into a Mixpeek bucket, triggering a collection pipeline that runs extraction, validation, and risk scoring. After a 16-week pilot with 2,200 applications, the system demonstrated 97% extraction accuracy and was approved for bank-wide deployment.