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Can you price them?
Can you underwrite them?
Can you even see them?
We can.
Mortgage-ready customers with thin-credit histories have forsaken their American Dream of homeownership.
They don’t get the chance to identify their true Net Present Value.
You can help. You just have to find the right combination of loan size, loan price, LTV and DTI.
Easier said than done.
With breakthrough AI-optimization, GreenLyne finds the hidden Qualifying Mortgages locked behind your borrower’s true credit strength.
For credit-invisible and thin-credit households, you can spend weeks configuring and tweaking the right loan size, loan price, and LTV to get to a Qualifying Mortgage.
Many times, you never get there.
GreenLyne turns never into a split-second.
And it works right alongside your Automated Underwriting System.
GreenLyne’s Automated Pre-Look Engine – APL1 – ushers in a new era of precision-guided cross-selling. Aided by a high accuracy Fair Lending-optimized risk model, it performs 96 trillion calculations to find your next mortgage-ready invisible borrower and underwrite them – all in split second time.
GreenLyne’s Automated Second-Look Engine – ASL1 – leaves no stone unturned to find the right loan at the right price to produce a Qualified Mortgage. Powered by groundbreaking Responsible AI, it solves the Rubik’s cube of aligning loan size with loan price with LTV with the borrower’s precise risk to unlock the door to homeownership.
Agencies are demanding Special Purpose Credit Programs (SPCPs). Where do you start? How do you comply? GreenLyne’s SPCP-as-a-Service gives you a no-sweat, instant on-ramp to answer the call. Our unique SPCP and Responsible AI architecture gets the cost and confusion of implementing Special Purpose Credit Programs out of the way.
Welcome to the new cloud of RegTech integrated with Risk Management & Inclusive Housing Finance.
We don’t shy away from the hard problems that stifle homeownership.
We’ve pioneered groundbreaking Responsible AI and Fair Lending algorithms that have changed the industry.
We did it by committing world-class mathematicians, computer scientists, mortgage specialists, Fair Lending experts, and community advocates to a common cause:
Help lenders power $1 trillion of mortgages to underserved first-time homebuyers by 2030.
We’ve been at it for over 10 years.
And we won’t stop until we’ve discovered every scientific advance needed to make inclusive housing finance work for every mortgage-ready household.
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