Address Matching for Mortgage Brokers

Address mismatches cause mortgage application delays and rejections. Semilariti standardises and UPRN-matches your client address data before submission — so applications go through cleaner and faster.

Address Data and Mortgage Application Processing

Mortgage lenders and their systems depend on accurate, consistently formatted property addresses to process applications correctly. When a broker submits an application with an address that doesn't match the lender's reference data — even due to a minor formatting difference or abbreviation — it can trigger a referral, delay, or rejection.

The most efficient way to prevent this is to standardise and verify address data before it reaches the lender. Semilariti does this automatically — taking client-provided addresses, correcting any errors, standardising the format, and matching each property to its UPRN so the lender can identify it unambiguously.

How It Works for Brokers

Upload Client Addresses

Export your client address list from your CRM or DIP system as a CSV and upload it to Semilariti.

ML Matching

Semilariti standardises every address and matches it to its authoritative UPRN using ML — correcting typos and formatting inconsistencies automatically.

Download Clean Data

Receive a clean, UPRN-matched address file ready to use in your submission workflow.

Fewer Submission Rejections

Standardised, UPRN-matched addresses reduce the risk of lender system mismatches that trigger referrals or rejections.

Faster Processing

Clean address data moves through lender systems more smoothly — reducing the back-and-forth that slows down completions.

Bulk Processing

Process an entire pipeline of client addresses in one upload — not one by one.

GDPR Compliant

Zero data retention. Client address data is processed and immediately discarded.

Working as a Mortgage Broker?

Clean your client address data before submission and reduce application delays

Address Verification for Banks & Lenders | KYC & AML | Semilariti | Semilariti