Loan file intake
We read every document in the borrower file, sort each one, and post clean data to your LOS. Personnel is two-thirds of your per-loan cost today.
We read every document in the borrower file, post clean data to your loan origination system (LOS), and re-check each file against investor and agency rules.
Deeply trusted by enterprises globally
A single mortgage costs $10,965 to produce. The top quartile of lenders already does it for about $6,900, and two-thirds of that cost is personnel.
About 1 in 56 closed loans has a critical defect, and income and employment is the leading defect category. Every defect is a loan an investor can make you buy back.
A purchase mortgage still takes about 42 days to close. Every extra day makes borrowers nervous and keeps your capital tied up.
A borrower file lands as a stack of documents, and someone on your team reads each one and keys it into your loan origination system (LOS). Underwriting waits while conditions get chased one at a time, and when that backs up, closings slip.
The documents in scope
Cost to produce a single mortgage
What the top quartile of lenders spends
Closed loans carrying a critical defect
Start where the backlog is visible and the cost is measurable. The same agents cover the adjacent work once the first one is live.
We read every document in the borrower file, sort each one, and post clean data to your LOS. Personnel is two-thirds of your per-loan cost today.
We check pay stubs, bank statements, and tax forms against the application, then flag what is missing. This is the number one thing that sends loans back.
We re-check every file against investor and agency rules before you deliver it. This is what keeps your defect rate and buybacks down.
After closing, we sample funded loans and audit them against investor and agency rules, catching defects before they turn into repurchase demands.
We spread financials and read cash flow for equipment, auto, and small and medium-sized business lending. What took weeks of review now takes hours.
Senior engineers map your document workflow and find the highest-return automation. They redesign the workflow around AI-first processes, then build the automation into it.
We deploy AI agents from a library built across 100+ production projects. Tailoring a proven agent to your documents takes weeks. Building one from scratch takes months.
We run the system after launch. We monitor accuracy, handle exceptions, and keep the integration to your systems of record current.