Home Lending Pal’s marketplace leverages artificial intelligence, data science and machine learning to automate manual tasks

To be successful, lenders have to rely on mortgage lead generation to find potential borrowers. But generating leads isn’t an easy process, especially if businesses depend on older methods to produce results. 

Home Lending Pal (HLP) has an anonymous marketplace that uses conversational intelligence, machine learning and blockchain to help first-time homebuyers through the home research and lending process. HLP helps banks, credit unions and non-bank lenders lead with transparency by automating and digitizing the process.

“Our AI captures data at scale, reduces human capital, and improves efficiency and effectiveness to signal high-quality leads that will close fast,” said Steven Better, Home Lending Pal COO & co-founder.

It’s no secret the housing market is hot right now. Even though home prices are on the rise, low interest rates make purchasing a home an attractive option. And while this is great news for borrowers, lenders have to work hard to stand out among the competition and produce leads that will end in closings. 

Some mortgage professionals are generating leads that are only being paired based on cost-per-lead budget instead of how well they fit into mortgage overlays. On top of this, most vetting of the lead is being done by the lender, which often requires the borrower to submit the same information multiple times.

Mortgage businesses need to lead with a digital-first experience that delights customers even on third party marketplaces. Home Lending Pal’s marketplace leverages artificial intelligence, data science and machine learning to automate manual tasks and to create a better experience. By integrating digital platforms, borrowers can get personalized insight with little to no human interaction. 

“With our solution, potential borrowers gain deeper insight into the possible outcome of a mortgage application on a home without a negative impact, a significant time commitment, sales pressure or potential embarrassment,” saidBryan Young, Home Lending Pal CEO and co-founder.

Home Lending Pal’s AI-powered mortgage advisor simulates underwriting to determine mortgage approval odds, makes affordability recommendations, and solves borrowers’ and lenders’ problems. The pairs are based on mortgage overlays and allow potential borrowers to select which lenders they would like to work with based on service quality and approval likelihood, not just marketing spend.

“Unlike other solutions, HLP’s direct-to-consumer focus allows it to build, validate and attest consumer financial and credit information before connecting them to mortgage lenders. Borrowers can research privately before submitting all documents needed for underwriting electronically through the HLP platform,” said Joey Barrow, Chief Mortgage Officer at Home Lending Pal.

Home Lending Pal removes human biases to provide transparent and objective information that advocates for the borrower in the lending process. 

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Panamorph, Inc. announced a suite of acquirable proprietary technologies, proposing a fundamental change in how images are delivered over mobile devices. “Images are clearly the bottleneck of bandwidth,” said Shawn Kelly, CEO of Panamorph. “Every day billions of people are zooming on smartphone images so they can see them better, so website and app programmers are sending higher quality images in advance just in case someone zooms, at a significant hit to speed, but with lower quality than what people ultimately want so they don’t totally choke the user experience. It’s a terrible compromise, but that’s where we are today.”

The company’s suite of technologies supports an alternate approach of first delivering bandwidth-limited images with sufficient quality for their initial display. These images are then augmented with progressively higher quality using additional downloaded data as an automated, intelligent reaction to specific user zooming gestures, as guided by learned user desires through data mining of previous interactions.

“The key to all this is to dramatically reduce bandwidth requirements until and unless a higher requirement is indicated by current or historical user actions. Otherwise, if somebody zooms on a single image, then it is a huge waste to improve all the other images on their display, to improve that particular image beyond the quality the user needs, and especially to have initially sent higher quality images in advance just in case they zoom. Reactive mobile zooming is a fantastic tool for taking the bloat out of wireless applications while taking advantage of the data generated by zoom interactions to intelligently anticipate the best experience for the next user.”

The company is offering its suite of patented and patent-pending technologies for sale rather than diverting its current focus. “These technologies all originated from our development of motion picture delivery and display algorithms,” continued Kelly. “But it became immediately obvious that what ended up as reactive mobile zooming would have a huge impact not only on faster content delivery but the whole new world of data mining for AI predictive algorithms, ultimately leading to optimized sales and marketing operations. After all, images are the most immediately engaging content per unit of bandwidth. It only makes sense to start measuring and adapting to those engagements for the benefit of everyone.”

Panamorph, Inc., is the world’s leading and most recommended anamorphic projection lens manufacturer and developer of associated digital video processing algorithms for the distribution and presentation of major motion pictures with a legacy in home cinema soon extending into commercial venues.

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