Loan-level data an investment committee can act on
Diligence, exception tracking, and portfolio surveillance running off the same structured record the originator worked in.
Tapes reconciled against the actual file
Diver reads the documents behind a loan tape and reconciles them field by field, so a discrepancy surfaces while it can still be priced rather than after it is owned.
Diligence that does not restart
Every exception, condition, and sign-off carries the citation it came from. A second reviewer continues the file instead of re-reading it.
Surveillance on live data
Once a loan is on the book, the same record drives reporting. Portfolio views update from loan events rather than from a monthly spreadsheet refresh.
Your models, inside your boundary
Bespoke SLMs are trained on your own eligibility and credit criteria and deployed into your own cloud account, so nothing leaves an environment you control.
What you would run
The modules that matter most for institutional investors. Adopt them together or one at a time.
Stack on top of what you already run.
Keep your system of record. Qualr layers on top of it and reads and writes both ways, so nothing has to be ripped out and nothing has to be re-keyed at the seam. These are the systems that matter most for this channel.
Or we build you a custom end to end. If what you are running is the actual problem, we replace it — origination, documents, pricing, and workflow on one record, built to your credit policy rather than to somebody else's product roadmap.