Jitty launches mortgage-linked budget calculator with L&C

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Jitty, the AI-driven homebuying platform, has teamed up with L&C Mortgages to launch what it claims is the UK’s first property search tool based on monthly mortgage repayments.

The new ‘Monthly Budget Calculator’ is built directly into Jitty’s property listings, allowing buyers to filter homes by the size of the monthly payments they can afford rather than headline asking prices.

By entering income and deposit details, users receive an “instant” affordability indicator based on L&C’s market-wide mortgage data, which is then applied to search results.

Listings will also display estimated repayments alongside other costs such as council tax, service charges and ground rent where applicable, offering a clearer view of overall outgoings. Jitty said the feature removes the need for buyers to switch between online mortgage calculators and property portals.

Graham Paterson, chief executive and co-founder of Jitty, said: “For most people, affordability isn’t just about the asking price on a listing, it’s about the monthly cost attached to living in that home.

“By combining Jitty’s AI-driven search with L&C’s mortgage expertise, we’ve made it possible to view the potential costs associated with buying a property, instantly, and keep that in mind while you are browsing.”

Donna Callaway, partnership director at L&C Mortgages, added: “Buying a home is one of life’s biggest financial commitments, and knowing exactly what you can afford each month makes that journey clearer and less stressful.

“Working alongside Jitty, we’ve put mortgage insight right at the point where buyers are choosing which homes make their shortlist – so they can make confident, informed decisions that are supported by expert advice.”

The tool also offers a direct link for buyers to secure a mortgage in principle and advice from L&C without leaving the Jitty platform.

Its launch follows Jitty’s $3.8m seed funding round led by REA Group, aimed at accelerating its UK expansion and further developing features to make property searches more personalised and transparent.

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