Lykken on Lending

In our Hot Topic this week, we have Brent Chandler, Founder and CEO at FormFree.

When FORMFREE entered the business of capturing data, it became apparent that the consumer was the common denominator in the loan. The consumer was the risk factor in the loan and the essential element to understanding whether to provide a loan or not. In the industry, there’s an old Reaganomics statement, “Trust, but verify,” In doing that, we were effectively capturing the book of record or the source data. Listen to today’s Hot Topic to find out more on why this is important to the mortgage industry!

Read on to find out more here!

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Truth In Direct-Source Data With Brent Chandler

It’s Monday, July 26th 2021. I appreciate you taking the time. I’m so grateful to have you as our reader. We spent a lot of time putting together an episode that have great content. This show is created by mortgage professionals for mortgage professionals. We’re grateful to have you as our reader. Our commitment is to bring you timely information you can read anytime and anywhere.

In this episode, we’ve got a Hot Topic. Brent Chandler will be back with us from FormFree. Brent will be discussing the importance of capturing data, trust and verify the data, and what that all means for the mortgage industry. It’s more vision casting for where we think things are going in the mortgage industry as a relationship aspect of it so you’re going to want to pay attention to the Hot Topic segment.

I was in Fargo, North Dakota and it’s so interesting. I grew up in North Dakota so I hit the ground up there. All of a sudden, I started singing The Dinghy Song in a Norwegian way up there. I’m 100% Norwegian. We had a great time visiting family and friends. It’s good to have you with us. I had a great vacation. It’s so good to see our family up there.

I want to say thank you for the Industry Syndicate and all that they do. I was talking to someone who listens to a number of the loan officer podcasts on the Industry Syndicate website. It’s very popular and growing popularity. We’re proud to be a part of IndustrySyndicate.com. Check out all the shows there.

We have some great sponsors, the Mortgage Bankers of Association of America as well as Finastra with their Mortgagebot solution, robust features, what they could do, and how they use their defined fields and work with this customized base. You have to check this out. It’s a positive effective system. For those who are looking to upgrade to something that is of the latest generation, check out Finastra’s Fusion Mortgagebot Solutions. Some major developments going on there. Call and talk to them about it. Check them out.

Lenders One, as well as The Mortgage Collaborative. Both of these organizations are co-ops that create competitive advantages for lenders and their vendors. We’ve got the Lenders One summer conference starting on August 8th, 2023. We’re going to be there through the 11th in Orlando. We know we have The Mortgage Collaborative conference. I believe that’s in September 2023 so everyone’s starting to get together. It’s so good to see everybody and see posts of the different ones attending conferences. We can’t wait. We’re so ready to get back together.

I also want to thank you to the Community Mortgage Lenders of America. They do a great job of helping independent mortgage bankers create competitive advantages. They work with the MBA and have your voice heard. It’s another organization for independent mortgage bankers, primarily, Also, Insellerate. It helps lenders close loans more rapidly by changing how lenders communicate and engage with borrowers. Read the interview we did with Josh Friend back on June 21st, 2021.

Knowledge Coop creates a loading management system, as well as two technologies, Mobility MMI, Mortgage Market Intelligence, and Modex. Both of these have platforms for recruiting talent into your organization. We use both of them when advising. It works with our clients. We’re thrilled with them. Get check out both of these, Mobility MMI, as well as Modex. They’re on our website in the advertiser section. I always want to say thank you to Rob, Les, Alice, Allen, and Matt for their contributions each and every week.

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Welcome back to the Hot Topic segment of the show. I’m so excited to have Brent Chandler, Founder and CEO of FormFree. We have a pre-recorded Hot Topic segment and I’m excited to share it with you. Take it away, Brent.

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Brent Chandler, it’s so good to have you back on the show.

It’s great to be back. It’s hard to believe so much time has gone by since our last one.

It’s like yesterday. What’s so fun about your interviews, Brent, is they get downloaded like crazy. A lot of it is because of the value that you and I share. It’s about people and the consumers we’re serving. Everything you do is built around that value. It’s honoring them and building trust while providing truth, which we got into. I can’t wait to get into that. I want to start right there. I’m letting people in on a conversation you and I had on preparing for this. That was truth versus trust. I love that contrast. Talk about that. What is the truth versus trust me?

It has a lot of meanings but for the sake of what we do, when we entered into the business of capturing data, it became apparent to me that the consumer was the common denominator in the loan. These consumers were the risk factors in the loan. The consumer was what was the important element of understanding, whether or not a loan could be provided. In the industry, there’s an old Reaganomics statement, “Trust but verify.”

The village banker could have that relationship with one of the villagers. There was a sense of trust but when it comes to financial lending and risk, there’s a huge level of accountability that comes with that level of trust. Verification became a natural state of collecting information and then verifying it. After the crisis, the pendulum swung extremely far. What happened was not only were we verifying but we were duplicating verifications and, in some cases, trying to verify.

 

The trust factor was out the window. Verification became essential. What I discovered and proved with respect to the way that we were capturing data was that we were effectively capturing the book of record or what we call The Source Data. That source documentation which was untouched and unmanipulated by people and was dependable to the level of guarantee was what we were collecting and could provide on behalf of the consumer without the consumer touching or manipulating the data.

This eliminated the need to verify, which reduced cost but also gave an understanding of the KYC of the customer. Risk could be ascertained, understood, and acted upon instantaneously which led us to the day of certainty. Ultimately, it leads us to the end state, which is the non-fungible token on a blockchain in a smart contract.

Talk about non-fungible tokens. That’s something that I’m starting to hear more of getting used in a practical way. Talk about that for our readers who might not be familiar with NFTs or Non-Fungible Tokens.

Effectively, it derives its nature from what we’re beginning to learn more about which is with respect to cryptocurrencies, Bitcoins, CryptoKitties, and all the real-world tokens that are becoming more broadly used. The reality is all of these things are applicable because of one common state, which is the source data. Knowing the source or the beginning of the information in each of these cases makes them unique to the non-fungible token. It is effectively the last recorded data in a ledger or our case, on behalf of the consumer in an immutable data state that effectively represents Brent Chandler’s financial DNA.

That non-fungible token is a crypto token that represents the consumer’s information which is the latest and most source data that is available. It represents the truth. Instead of people’s information being floated all over in paper, mailboxes, PDFs, email, or all over the ether in any way, shape, or form, what you have is an encrypted token that is bound by zero-knowledge protocol so that it effectively is unhackable and unpenitent and represents an ability to execute a transaction such that I could borrow money based on this token.

Once the token is presented to a lender, and we’ll use a real-live case, lenders utilize various services from FormFree. They’re using the early stages of that NFT to capture asset, income, and employment data and then transfer it. Not only into POS or LOS but also into the AUS, DU, and LP, which are using their algorithms to ascertain lend ability and accept or decline or ask for additional information upon receiving this. The way that they do it, it’s fascinating how this whole thing works.

In the network that we created, we built the rails that these tokens move on. We created a space where what we’re seeing is a market efficiency that can transform the entire industry in mortgage lending in particular. As NFTs are shared with AUS, Fannie and Freddie respectively, also DU and LP, their algorithms look at these NFTs and harvest data that we reposit in our immutable data store on blockchain. They’re getting that truth data and can make purchase decisions instantaneously.

There’s the truth and the truth versus trust. In the past, you’ve talked about how FormFree does not verify data. You started touching on that but if you could spawn on that a little bit more about what you mean by you do not verify data but you have all this data.

It expands on the truth versus trust conversation. The known state of our data is the truth, which means you don’t need to verify it. It’s acceptable in its current state. That’s what we proved over the years working with the GSEs and receiving the honor of that Day 1 Certainty guarantee. It’s the rep and warrant relief that was provided to lenders such that they didn’t need to do any additional work with no additional verification and could effectively receive no putback and liability associated with that particular component of the transaction.

With that truth record, it’s not an action of verification. It’s an action of collecting the actual truth information and it’s being accepted as that final state as truth. No need to verify. We cut out 2 or 3 verifications and the need for eyeballing information. Algorithms are looking at the data in its truth state and being able to truly understand the risk characteristics and information at a detailed level that they’ve never seen before. What we’re seeing is a paradigm shift in the way underwriting is being handled and expediting the process. We’re cutting days and weeks out of the underwriting process because we have truth data. We know the risk right up front.

 

You started to leverage artificial intelligence. Your business partner that we had on, Dr. Cunningham, is brilliant, and how he explained it. Expand your vision for how it expands the credit box. The ultimate goal is more financial inclusion.

When we think about component analytics, we think about vectors that are components that assess ability, willingness, and propensity to pay, also distress and other things. These are all how we sized up as technology firms and lenders and what appetite of risk we’re willing to tolerate. We want to look at data that’s truthful and assess risk based on known standards. The most obvious standard is FICO.

What’s interesting about FICO is when it was created, it was a novel forward-thinking process of looking at past behaviors and assessing information that could effectively mitigate any kind of prejudices that were applied to particular borrowers. In the 1960s, certain people couldn’t get along based on gender, medical history, or political beliefs. We needed to make it more agnostic with respect to the people we were lending to and make it more about whether or not they could effectively be approved for a loan.

Fast forward, 60 years and in the current state, technology has allowed us to look even deeper and understand even more about the consumers with less prejudice. Even in the 1960s, prejudice was attempted to be neutralized. It’s still left a lot of gaps and those gaps are being filled. Look at one vector. With digital technology and truth information with the types of access to information we’re providing, it’s the artificial intelligence on top of that data.

The current state of technology allows us to look even deeper and understand more about the consumers with less prejudice. Share on X

We make the data intelligent by looking at large quantities of information. Not only with respect to your distress factor, which is what a credit score is, but also your assets which are your attributes of willingness, propensity, and ability to pay. These look at all sorts of different types of data that relate to your account information, assets, income, employment, and other things. Combine all of this and we can tell a richer story. Dig even deeper into the credit attributes, the credit data itself.

We’re applying artificial intelligence to understand tens of thousands of different attributes of that credit data where we can determine at a very instant early stage in that profile request of that borrower who’s pulling credit. A credit score of 680 could be performing like a 720. In banks, it throttles or squeezes credit boxes to the degree that a 700 is the minimum that they’ll take. That 680-credit score typically represents folks in a demographic that is racially biased. That 680 never gets a look because banks have said, “We’re not going to take the risk or take anything less than a 700. Six hundred eighty isn’t even being looked at.”

This is where the whole conundrum lies with the current administration, which says, “Banks, open your credit box.” Banks are saying, “We don’t want to lose more money. We have a fiduciary responsibility.” You have this tug of war going on where the artificial intelligence helps is saying, “Bank, we can show you the 680 performs like a 720 and then meet all the other criteria with asset income and employment. We can do that instantaneously at the first touch with facial recognition from the consumer.”

You’re beginning to see how all 53 million people with or without credit could qualify for some type of loan that they could afford. We’re opening up that opportunity for inclusion to anyone and that’s the FormFree story. It’s about everybody borrows money at some point in their life and has the ability to pay a sum amount. It’s our job to quantify, understand, and then deliver that in source documentation to the lenders.

How do you see direct source data being tokenized via the blockchain, NFTs, and other smart contracts?

It’s an extension of what we’re doing. In a lot of ways, what we do is capture that source data, lock it down, replicate it, and put it in immutable data stores and blockchains. We chain it together and create that profile information that’s captured in the non-fungible token about the consumer. Brent Chandler’s assets, income, employment, identity, liens and judgments, public records, and credit are all analyzed with artificial intelligence bound in an NFT that’s encrypted in ZKP with zero knowledge protocol, which is sitting there.

When Brent Chandler’s ready to go into a loan experience or in a B2B experience, where a lender says, “Use this passport to collect your information,” that NFT is generated and shared into an exchange-like environment, whether it’s an AUS, POS, or LOS. Effectively, they capture this token and enter that token in the systems which are all geared through our hundreds of integrations to retrieve that data and understand where to place it in the effective systems. We’re pre-qualifying or completing that loan process.

In effect, what we’re doing are the early stages of what will be in exchange. It’s where two parties come together sharing information and there’s a buying agreement. With an NFT, I have a profile that says, “I’m good for some X $100,000 to purchase or borrow money.” I share that NFT into the exchange. It goes in as a ZKP. On the other side, a large lender comes in and says, “Mr. Chandler, we are willing to work with your profile. We’d like to continue this process. We want to engage.”

That trigger is what’s known as a smart contract. Those two meet in exchange for a smart contract and effectively, that loan goes into the process. What we have to do with the rest of the story effectively captures the appraisal, title, and other components of the real estate transaction that are required for the underwriting. That’s where the underwriting systems move forward but there are lots of people chasing various components of the blockchain NFT story that are in different areas.

There’s a company called Propy, which conducted the world’s first real estate transaction in an NFT. You’ve got companies like Figure and Provenance that are working on blockchain and the securitization transaction that happens once a loan is completed. You have companies like ICE, making moves to digitize the whole end-to-end. They’re the largest exchange in the world. This is a process that’s happening. This is the direction the industry is going.

Our focus which is so unique is the passport component of the consumer, the common denominator in every loan. It’s not just relegated to mortgage. You can imagine consumers could get an auto loan, a personal loan, or a college loan. This NFT represents their ability to pay some amount to a lender who can say at the highest standards of government lending from Fannie and Freddie and FHSA, “This consumer is acceptable at a guaranteed level that’s good for everybody.”

It’s the consumer controlling the data. It’s not that they’re giving out the data. The token opens up the ability for them to see all of the data controlled by the consumer, which is so exciting. ICE is doing so many innovative things as well. You announced that 3 in 1 is directly integrated with Encompass. Talk about that.

As we rolled out the next level or extension of assets, we included income and employment. We’re excited about this because it’s a 3 in 1, we call it. 3 is always better than 1. The idea is in a single experience, that consumer can gather their director’s data from their asset, income, and employment. These are paystubs, W-2s, and all their bank information in a single experience using all digital access.

That process, data collection, rapport, and the token is tied in with an Encompass environment so that anybody that’s using that LOS, and we have hundreds of customers that are using it, for account checks can use the same process for income and employment and use it all in one experience for the consumers. It’s this simple.

When a lender wants to extend a loan, they need to gather this information to understand assets, income, and employment. We call them the three pillars. They’re the most critical pillars of a loan. They have one simple experience to go through and answer these basic questions, “Where do you work? Where do you bank?” You take them through the journey. Instantaneously, we can get it done in a couple of minutes. Gather W-2s, paystubs, and over 12 to 24 months of bank statement information.

They’re all analyzed, verified, certified, and delivered up in a single report into the LOS. Consumers have a fabulous experience. Lenders get the job done that they need and meet all the criteria. It’s exciting to have the Encompass team and folks. I not only appreciate the work that we do with them. They’re fabulous partners with us. We have built great relationships with them over the years. I love what they’re doing with ICE, being a part of that story, and enhancing the value proposition to their customers.

I’m going to fill in a couple of blanks for some of our readers. We have a number of readers, Brent, who are new to the industry. I need to put this little footnote in. They may not be aware that ICE or Intercontinental Exchange bought Encompass. Ellie Mae, Encompass. For those of you who are new to the industry or not connecting those dots, Encompass is owned by the company that owns The New York Stock Exchange.

Our industry works at the speed of a glacier, it seems like at times. When you look at the velocity of ICE and the transactions that happened volume-wise, the velocity, and the rate at which they all happen in The New York Stock Exchange, how much can they bring? The fact that you’re connecting with them, Brent, is exciting. Talk a little bit more about how 3 in 1 helps servicers get a leg up with the borrower when it comes to mortgage assistance applications.

The servicing space is getting a lot of visibility. We know forbearance is ending in September 2021. There are quite a few millions of loans that are still in forbearance and coming out. That’s a good thing. Quite frankly, we want to help those that are in distress. With the number of those loans that are in Forbes Bank, there are $2.5 million in loans approximately that are in forbearance. Over $1.75 million of them are in some delinquency state of 90 to 120 days.

What that means is these borrowers are going to need some help. They’re going to need to either modify their existing loans, refi them, or get some assistance from their lenders. We’re reaching out to servicers all over the land, offering our help with our application, which can instantaneously assess a current borrower’s ability to pay.

With that, what we’re saying is let us help. We want to go in. We don’t want to go through what we saw in 2008, which was this long-drawn-out process to do mods and help and assist borrowers. It took years to get all the paperwork and the applications manually processed, and then ultimately, get the help that they needed. We think there’s a better way to do it. We can utilize technology, get in front of these consumers instantaneously, and help those lenders understand how they can best work with these borrowers to keep them in their homes, modify these loans, and/or help them in the right direction, and educate them.

We can utilize technology, get in front of the consumers, and help those lenders understand how they can best work with these bars to keep them in their homes, modify the loans, or help them in the right direction. Share on X

We’re excited about how technology is helping people. It’s a funny pun with ICE but the industry is making an effort to do the right thing and help the consumers. Along the way, they are looking at technology to lead that effort. When Fannie Mae announced that they would accept digital verification providers for services and allow servicers to use digital verification, it was a huge boon in the guidelines and processes that a lot of these services haven’t had to do a lot which required them to be as forward edge with their technology.

They’re still relatively antiquated in the manual. What we’re seeing is how we can help instantaneously. Thanks to the GSE. I mentioned Fannie but I would also say that Freddie has been accepting digital for a long time in the servicing space. They were quick to respond to me as we did some LinkedIn announcements about the Fannie that they too support digitally. It’s a coming of age where technology meets opportunity as well as creates better efficiencies. The way we create more inclusion in our country, stability, and fairness is by creating better market efficiencies.

You talk about market efficiencies and one thing that’s happening is we’re seeing a lot of consolidation in our industry, both from an origination standpoint. Most announcements seem to come out about technology consolidation. Talk about that. What’s your perspective on this trend?

I’ve been watching this trend for decades. What’s interesting is in 1996, I was part of this trend again. We were pioneers in building online brokerage. I watched the pioneers from the early adopter stage to what we call the fragmented stage to the consolidation phase to the plateau and then the latecomers. We’re in an evolutionary curve. It’s a sine wave to a bell curve.

We’re in the consolidation phase. We started in late 2020 into 2021. We’ve seen an unprecedented amount of consolidation and technology. The reason is it’s the new guard. A lot of these newcomers and the fragmentation stage got gobbled up. Evaluations go through the roof. We saw opportunities open up. A lot of cutting-edge technology hit the scene. The larger lenders, underwriters, and processors could all take advantage of some of these smaller startups. Some of these companies have gone on to do great things as standalone.

What we’re in is the consolidation phase of this evolutionary curve, which means we’re nearing the end of the evolution. It will always continue to evolve in mortgage for sure until we reach the end state, which is the end-to-end digital transaction in an exchange. The consolidation phase could go on for five years or so. It will plateau into some stability where we see all the pieces are in place and then we can create more market efficiency and stabilize this path forward.

It will look different than it’s ever looked before. We can already see it in pieces but as we consolidate, we’re going to see these pieces become more end-to-end. The mortgage industry will evolve much like the brokerage industry did and become a transaction with loan advisors assisting borrowers in relationships guiding them through that journey of getting a loan. The transaction itself, to me, is going to happen from an end-to-end NFT, smart contract exchange because the data is so true. It’s going to be much like cryptocurrency processing and real-world transaction tokens.

I might build on that for one second. One could ask, “If the mortgage industry is nearing, we’re in the consolidation phase and the next phase,” which is going to be continued growth and new additions along the way but plateauing to some degree and stabilizing. Where does that leave FormFree? I’m excited about how we view our jumping-off point as the mortgage.

We’re a lending financial technology company. We enhance and make credit happen. Mortgage lending is the space that most people know us in. We’re also in auto, rental, and personal loans. We’re looking into servicing some other things. It’s anywhere that a consumer needs credit. It is how we help facilitate that transaction. That evolutionary curve is in the early stages of getting out of the pioneer into the early adopter stage for that particular bell curve.

 

We’re pretty excited about where we sit in that one. Mortgage, in a blend, is an end-to-end mortgage company. One of these other companies is SimpleNexus. LoanLogics was acquired. A lot of the consolidation that’s happening in the space is very much focused on mortgages. We are very much focused on lending.

It goes into all the other channels and verticals of lending, which is a much broader space. That’s why you’re so well positioned. I had an investor who contacted me after our last interview with Dr. Cunningham. They go, “Is this publicly traded? What’s the symbol? I want to turn fasting it.” We have others that are reading to it. Your vision, Brent, is very exciting.

There are some things that I want to clarify. This is a compliment to Day 1 Certainty. It does not do away with Day 1 Certainty. These are pieces that are all coming together to streamline end-to-end electronic transactions for the consumer, which should make a much more pleasing experience for the consumer, assuming we have any housing inventory left of purchase and finance but that will get solved as well but it’s exciting the days we’re living in, Brent. It’s so fun to be a part of you and see what you’re doing. The division is amazing.

Thank you so much. Day 1 and AIM over at Freddie are what I would call the government seals of approval. It’s the highest attestation you can get with respect to receiving and delivering data for a loan. It’s like a guarantee or insurance. It removes liability. If lenders get ultimately, the end game is to go end to end from knowing who the borrower is and whether they can afford it in every aspect, asset, income, employment, liens and judgments, and credit.

Know that the property is what it is stated to be in the appraisals. All the documents are eSigned and tucked away nicely. This can all happen digitally. That loan could effectively go to Day 1 and AIM. That’s a nirvana state. That’s what the AIM is. It’s to get to that state across the board for all the blocks in the chain. I got to give props to the GSEs. They’re big behemoth organizations but they’re innovative. Their look forward is amazing.

We’re looking at what could have happened if they would have been spun off. That doesn’t look like that’s happening with most rulings. It’s good to see that they’re going to be staying inside the federal government. While that can challenge innovation, we don’t typically see innovation coming out of anything that’s inside a federal agency or federal government but they have done some very effective things while in conservatorship. I love the fact that you have a partnership that you do with both agencies. What’s going on with Ginnie Mae or HUD? Is there any movement in the government lending space?

It’s fast followers to some degree. What we find with FHA, HUD, and VA is simply that they do wait and use some of the same systems. They look to Fannie and Freddie to lead to charge and get in line. They’re all adopting the same digital strategies. They have different budgets and funding. They’re all in line. The industry is also looking at non-agency type and non-QM loans. We see a huge opportunity with non-QM and jumbos with respect to the same data efficacy.

It does open up all these different opportunities. When you start thinking about non-QM, they’re not regulated by the same guidelines. There’s a lot more personal private capital that’s being extended here so they take the same level of scrutiny and sometimes higher. They want to do it based on assets rather than other types of W-2 or paystub type of validation.

Those types of loans are opening up more with the caps on the GSE. At the end of the day, we’re here to facilitate in the most efficient way possible purchasers, borrowers, and consumers borrowing to buy homes. We want to help facilitate that transaction in the most enjoyable experience, expedient way, and the safest way possible with the highest validity of data.

You’re doing so much. Your vision is in line with the future. It’s very exciting. Brent, thanks so much for coming back on the show. I can’t wait to get you back on. Every time we get one of these, I go, “How fast time does travel?” I love the value. It’s about the people, consumers, what you’re doing with a passbook, and helping discern the difference between truth and trust. I appreciate it.

Thank you so much. I’ll say this as we part. It is about empowering people. We love sharing our efforts with everyone. Enjoy the journey. On your journey, you will find a wondrous station called life. Relax and enjoy the hospitality and beauty. Take care.

Enjoy the journey because, on your journey, you will find a wondrous station called life. So, relax and enjoy the hospitality and beauty. Share on X

Thank you so much, Brent.

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I like a little philosophy at the end. That was a good job, Brent. Good interview. I enjoyed recording that. We’ve got some great upcoming episodes. I am so excited about the content that we are creating here and sharing with you. We’re recording it and doing all the things we need to do on our side to deliver quality but it’s interesting some of the interviews that we have upcoming. Stay tuned and share this show with others.

In the next episode, we’ve got Ken Perry coming on. He’s the Owner of the Broker Knowledge Group and the President and Founder of Knowledge Coop. I love these guys. I love what they do in the way they educate. Its true edutainment. If you do not know what that is, go Google that. It’s for you to bring together education and entertainment. He does a masterful job of it. He’s become a great friend. I use his platform for my business.

Check out the episode that’s coming up next. I want to say a special thank you again to our sponsors Finastra, CMLA or Community Mortgage Lenders Association of America, as well as Lenders One, Insellerate, Mobility MMI, and Modex, as well as MBA, the Knowledge Coop, and The Mortgage Collaborative. Thank you so much, sponsors, for making this show possible. Thank you, readers, for taking the time to read and share this show with others.

 

Important Links

• FormFree
• IndustrySyndicate.com
• Mortgage Bankers of Association of America
• Finastra
• Lenders One
• The Mortgage Collaborative
• Community Mortgage Lenders of America
• Insellerate
• Josh Friend – Past Episode
• Knowledge Coop
• Mobility MMI
• Modex
• Propy
• Figure
• Provenance
• ICE
• SimpleNexus
• LoanLogics