iLeads launches AI lead model

iLeads said on April 21 it launched a machine-learning model that sorts mortgage leads into a single category before lenders call them. (markets.businessinsider.com) The Newport Beach, California, company said the model scores each lead using property data, mortgage-lien details, and borrower attributes, then assigns the lead to what it calls the strongest market opportunity. iLeads said the system is aimed at lenders buying leads at scale. (finance.yahoo.com) iLeads said the model can lift net revenue by as much as 3x and raise funding rates by 30% by cutting mismatches between a borrower and the loan offer a lender pursues. The company did not disclose sample size, customer names, or test methodology in the announcement. (markets.businessinsider.com) Mortgage lead scoring is a filtering step: lenders buy or generate names, then use data to guess which borrowers are most likely to qualify, respond, and close. iLeads markets related products that append live property, mortgage, and equity data to leads before a loan officer works them. (ileads.com) That sales pitch lands as mortgage prospecting rules changed this spring. The Homebuyers Privacy Protection Act took effect on March 5, 2026, restricting most mortgage trigger leads, a practice where credit bureaus sold borrower information after a mortgage inquiry. (congress.gov) HousingWire reported in March that lenders were shifting outreach toward consent-based and existing-relationship channels after the law took effect. The same outlet reported in February that lead prices were rising as originators competed harder for high-intent borrowers. (housingwire.com, housingwire.com) iLeads has been positioning itself around that shift for months. In January, the company said lenders needed alternatives as the trigger-lead era ended, and it said it monitors 460 million leads and 105 million properties. (ileads.com) The company’s broader pitch is that better data can keep loan officers from spending time on borrowers who cannot fund now. On its mortgage-leads pages, iLeads says it collects more than 1 million mortgage leads a month and has processed 167 million leads overall. (ileads.com) For lenders, the immediate question is less whether the model uses artificial intelligence than whether it improves pull-through on expensive leads. iLeads is betting that faster triage, not more raw volume, is where mortgage marketing budgets are headed. (finance.yahoo.com, housingwire.com)