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Property-level data, without the spreadsheet

Rent rolls, operating statements, and multi-property schedules parsed into structured data you can compute against.

Commercial real estate runs on documents that were never designed to be read by a machine: a rent roll per property, an operating statement per year, a lease per tenant. Qualr turns that stack into data.
01

Rent rolls and operating statements, parsed

Diver extracts unit-level rent rolls and operating statements into structured data, then reconciles them against leases and bank statements.

02

Multi-property collateral as a real structure

A single file can carry a schedule of properties, each with its own valuation, income, and title trail, including blanket and cross-collateralised structures.

03

Entities and guarantors modelled properly

An LLC with three members and two guarantors is a structure the system understands, with the ownership chain and its evidencing documents attached to the right node.

04

Answers with a citation behind them

A Bespoke SLM trained on your own criteria answers questions about a property file and shows the page it took the answer from.

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.

Quick Match

Tell us the scenario. We will route it to a non-agency lending desk that writes this kind of file.