Look through the pool to the file underneath

Loan-level document data behind the security, reconciled against the tape and kept current after settlement.

A security is only as legible as the loans inside it, and much of what determines performance sits in documents that never became a field on the tape.

Loan-level detail behind the aggregate

Diver reads the underlying files and produces structured loan-level data, so a pool can be examined rather than characterised.

Tape reconciliation as a standing job

Reported fields are checked against the documents that evidence them, and differences are reported with the source attached.

Surveillance after settlement

The same record continues after purchase, so performance reporting draws on loan events instead of a periodic re-upload.

Deployed where your data has to stay

The platform runs in your own cloud account and region, including any private model trained on your criteria.

What you would run

The modules that matter most for mortgage-backed security buyers. Adopt them together or one at a time.

Diver

Automated classification, extraction, and reconciliation across the whole loan file.

LendLAB

A headless, configurable LOS that treats origination as composable steps rather than a fixed pipeline.

Bespoke SLMs

Private, source-grounded language models built around your guidelines and documents.

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.

Talk about a custom build Full directory

Google Cloud Custom Dev AWS Custom Dev

Other ways teams run Qualr

Asset class