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Automatically restructure loans to approval.

Eliminate manual income calculations and generate compliant AUS scenarios directly within existing workflow tools.

Every LO gets the exact structure to run next.

Instead of handing off failed files, loan officers get verified qualifying income and the precise field changes needed to pass AUS instantly.

Income without
the worksheet

  • Calculate qualifying income directly from borrower documents.
  • Every figure stays tied to the governing rule and source page that produced it.

Restructuring without
the specialist queue

  • Turn failed AUS findings into precise loan structure changes.
  • Continue through each rerun until the loan reaches an approvable structure.

How it works.

Step 1

Document and findings ingestion.

Upload borrower paystubs, W-2s, tax returns, and current DU or LPA findings. The local extraction engine reads ugly documents, captures financial facts with direct citations back to the source pages, and creates a normalized loan state.

One file, from documents to an approvable structure.

Operational impact.

Zero manual form-filling.

Eliminate manual data entry by converting raw borrower documents straight into verified, audit-ready qualifying income.

Faster turn times.

Resolve non-approve findings in minutes directly on the front line rather than losing days waiting on a specialist queue.

Scalable operations.

Expand total loan volume and let loan officers resolve complex files without expanding senior staff headcount.

Private by design.

100% private infrastructure.

Models execute entirely inside your Azure or AWS environment.

Models execute entirely inside your Azure or AWS environment, so sensitive borrower documents and PII never leave your security perimeter.

Single-command setup: engineering teams deploy the complete stack locally using Docker.

Single-command setupSingle-command setup

Immediate data erasure.

Temporary page images, extracted PII and document text are deleted immediately.

Temporary page images, extracted PII, and document text are deleted immediately from memory upon job completion.

The controlsThe controls

Deterministic code engine.

Income math, guideline checks and lender overlays run through deterministic code.

Income math, guideline checks, and lender overlays run through deterministic code for repeatable, audit-proof results.

How it worksHow it works

Questions we get.

Where do the models run?
Inside your own Azure or AWS environment. Borrower documents and PII never leave your security perimeter.
What does deploying it involve?
One command. Your engineering team brings up the complete stack locally with Docker, on machines you already run.
What happens to the documents after a job?
Temporary page images, extracted PII and document text are deleted from memory the moment the job completes.
Is the income figure a model’s guess?
No. Models read the page. Income math, guideline checks and lender overlays run through deterministic code, so the same file gives the same result every time.
Do loan officers learn a new tool?
No. They receive the exact field-by-field changes and run them inside the workflow tools they already use.

Single-command setup.

Engineering teams deploy the complete stack locally using Docker.

An engineer at a laptop, over the corner of the grid of software that runs inside the environment.