Mozzle is an intelligent criteria engine that helps mortgage brokers find lenders for complex cases by searching in plain English. The platform ranks lender matches based on full-case fit and links every result to the lender's original criteria wording for verification. It captures nuanced details like EWS1s, foreign income, and HNW exceptions that rigid tick-box tools miss.
Funding
Funding not disclosed
Founders
Product
Problem
Mortgage brokers handling complex or non-standard cases often spend hours researching lender criteria across phones, inboxes, and PDFs, and still risk failed applications. Rigid tick-box tools miss the nuanced details—such as EWS1s, foreign income, or HNW exceptions—that determine whether a lender will actually accept a case.
Solution
Mozzle provides an intelligent criteria engine that lets brokers describe a full mortgage scenario in plain English and receive ranked lender matches based on complete-case fit. The platform analyzes the entire scenario—including borrower age, income type, property characteristics, and location—to surface options that traditional tools exclude. Every match links directly to the lender's own published wording, allowing brokers to verify results against original criteria. This source-backed approach reduces research time from days to seconds and helps brokers place the tricky cases they would otherwise walk away from.
Target Audience
Primary users are mortgage brokers who handle complex and non-standard cases and need fast, reliable lender criteria research to improve application success rates.
Features
- Natural-language search that accepts complex, multi-variable case descriptions in plain English
- Full-case scenario matching that ranks lenders on overall fit rather than individual checkboxes
- Source-backed results with direct links to each lender's original criteria wording for verification
- Handles nuanced criteria including EWS1s, foreign income, HNW exceptions, and interest-only for over-60s
- Built specifically for complex cases such as self-employed income, listed properties, and pension-based borrowing