Loan files are still processed the way they were 20 years ago. Documents scattered across emails and shared drives, income calculated on spreadsheets, checklists tracked in someone's head. Every file touched by three people before it moves an inch.

TrustHQ is changing that — reducing loan file processing TAT by 90%.

We are a document intelligence platform built for lending operations — DSAs, lenders, and credit processing teams managing high volumes of loan applications across business lending, mortgage, and secured lending.

Here is what we do:

Starting with document classification, our AI agents automatically identify and sort every document in a loan file — W2s, 1040s, Schedule C, K-1s, ITRs, bank statements, GST returns, title deeds — and map them to the right workflow instantly.

From there, agents extract income and liability data across structured forms. For US lending this means populating SBA Form 413, SBA Form 2202, SBA Form 1919, and the Global Cash Flow Worksheet. For Fannie Mae this means Form 1003, Form 1084, and the full income calculation. For Indian business loans and LAP this means CMA data, net worth statements, banking surrogate income calculations, and debt schedules.

All of this feeds into a structured Credit Assessment Memo — the CAM — generated automatically with full source traceability back to the original document.

One platform that takes a loan file from raw documents to credit-ready output, with a full audit trail and human review built in at every step.

If your team is still manually processing loan files, TrustHQ is built for you.

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