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Market Pulse is a monthly podcast by Equifax, in partnership with Moody’s Analytics. Equifax hosts bring you interviews with industry experts on the latest economic and credit insights that can help drive better business decisions. Whether you’re in financial, mortgage, auto or another service industry, we help make sense of the latest economic conditions that impact you. This podcast series supplements our Market Pulse webinars, which occur on the first Thursday of each month.
Bobby Deery (00:21):
Welcome everyone to a special edition of the Equifax Market Pulse podcast. We're recording here at the Equifax booth at NBA 2025 in Las Vegas where leaders across the mortgage industry have gathered and we're exploring one big question, which is what happens next. I'm Bobby, and joining me is Pravin, the SVP of Origination Growth at Cotality. Welcome Praveen.
Praveen Chandramohan (00:45):
Thank you Bobby. Pleasure to be here.
Bobby Deery (00:47):
It's been a fun week. I think already a lot has been going on. There's been a lot of news and different things like that. But I'm really looking forward to diving into a couple conversations and topics, you know, around some of the things that we've talked about in the past. And one of those is, we hear about AI all the time. How is it reshaping the mortgage industry and where do you think the mortgage industry is headed with ai?
Praveen Chandramohan (01:09):
Yeah, so that's a question that we've debated internally a lot. Like any new technology, when it first came into the scene, there was always a little bit of skepticism when it came in. It reminded me of the blockchain tech that was the next big thing a few years ago. The difference this time is unlike I, I'm sure the blockchain technologists may disagree with me, but unlike blockchain AI can be done in micro doses, it's not an all or none. So we're starting to see lenders adopt different aspects of ai, whether it is in customer service, whether it is in back office automation, whether it is in little bit of the processing and underwriting aspects of mortgage. Whether it is in automating some of the things around tax payments, this is across the board, micro innovations happening in ai, which I think is one of the reasons why it's catching on and staying. So we I think we're all betting on it staying and helping the mortgage industry and frankly speaking all industries. Yeah.
Bobby Deery (02:15):
I think across the board it's helping. It's interesting in our mortgage industry because it's so regulated and how can you actually use AI, you know? Right. Is there anything there that causes friction? But I think you're right. The operational pieces and some of those other components, the kind of the micro AI will allow us to, you know, kind of see that come to life a little bit quicker. And then as we lean into it as an industry and we get more, you know, more of our answers or more answers to the questions that we're asking, then we can obviously take in a different direction.
Praveen Chandramohan (02:42):
Right. We're already seeing loan officer avatars come up underwriter avatars come up. So it's not, it's not going to be too far down the road where most of the origination processing is going to be AI-driven with human guiding it from a right processes perspective.
Bobby Deery (03:01):
Yeah. Are you guys doing anything at Cotality right now around AI? And how are you helping your lenders there?
Praveen Chandramohan (03:04):
We are. So quite a few quite a large amounts of effort go into our AI infrastructure. So the first things we do is to ensure that we are AI ready. And part of that is because ality is such a large company, because we have such a large data footprint, it's very important that we avoid the common AI pitfalls, like hallucinations and giving the wrong answers and things like those because you want you, when you inspect the data, you want accuracy and AI shouldn't compromise accuracy. So we're spending a lot of time making our data AI ready, which is building that semantic layer. So when you ask the question, it is not misinterpreted as something else. And once that is built, so as an example, we recently launched as part of our MLS platforms, we've launched an app where realtors can reliably use AI to create listings in like five to 10 minutes, which used to take about 30 to 30 minutes to a couple of hours.
Praveen Chandramohan (04:01):
That's sort of an example of how AI can really, really help workflows. We're doing large amounts of AI investments. You heard Swin talk today in the main stage about a lot of our workflow optimization in terms of how AI is helping speeding up a lot of things that used to be very manual in nature. In the area of underwriting, we're starting to see a big lift in the, in the world of OCR and how AI can do a much, much, much better job today than what it used to do like six or seven months ago. So lots and lots of innovation happening around that area.
Bobby Deery (04:36):
Yeah. The excitement's definitely there. We, you know, constantly hear from lenders of, you know, what are the ways that we can create products around ai? How can we help them with ai? And they're doing their own thing as well, which is really exciting to see kind of how all that plays out. And I think that kind of transitions to a lot of the things that we're all trying to do, which is ultimately optimize the process for lenders. I know it's very costly at this point, but how do you think that we can either use AI or, or honestly just what are the things that we can do to help optimize the process for lenders in the origination process?
Praveen Chandramohan (05:05):
Yeah, so for the for the longest time, we we've been chasing this magic number of 10 day close. There's been stats around 11,000 to 14,000 to $15,000 of costs involved in, in the loan. What I like to reference back is speed is important. We, we did a survey with with I think about 5,000 to 7,000 odd consumers across the spectrum to understand in their home buying journey or in their financial transaction that involves home purchase or refi, what is most important for them. And the answer surprised us. I think we were expecting speed, which was loud and clear. It was speed. But what was also important is clarity around the process. Because what speed means to a mortgage lender does not necessarily mean clarity to the end consumer.
Praveen Chandramohan (06:04):
And this is probably an area where AI can really help because the consumers expect micro doses of information across the spectrum. Like, what happens when I apply, what happens on day five when it's being process, when it's being processing, when will I know my underwriting decision? What does an appraisal mean? What does funding mean? What does, what does clear to close mean? Just sort of giving them micro doses of information so they know what to expect along the way stood out most. And this is an area where I think AI can hit it outta the park. Yeah. Right. Because it's really good at building empathy. If you've, if you've interacted with any of the AI agents chat, GPT, Gemini, Rock, you'll see that they're becoming really good at understanding the sentiment of Yeah. The question that the consumer is asking very agreeable and, and respond. They're very agreeable. And even when they have something not good to say, they say it in a way that makes it very understanding. So I think, it's an important aspect, building empathy. So speed and empathy should sort of go together, and I think AI can help.
Bobby Deery (07:03):
What do you think is the toughest part about the process? You know, I think about it and even being in the industry, I think going through the origination process, when you're either doing a refinance or you're purchasing a house, like it's complex. It's tough, right? Even if you're in the industry, and I think about, you know, the millions and millions of people that just don't understand it. And they're going through and they're making the largest purchase of their life. Like, what are the friction points that you think we could probably look at the fastest to be able to help them out to make that experience a little bit better? Or for them to feel like they are more knowledgeable at each stop along the way of getting that home loan.
Praveen Chandramohan (07:37):
So that's a great question. And it's a question that's made me reflect back several times. The answer is not easy because there's not a single answer. It depends on whose lens you're looking at it from. If you're looking at it from a, from a lens of a home shopper yes, for some, for some home shoppers, 10 day clothes may be important. But for some other home shoppers, the ability to understand the process, have empathy, have personalized service, is more important. If there's a, if there's a more efficient way that translates to a reduced cost, that is more important. Visibility to future cost of home ownership is important to them. So those are the things that tend to be important from a consumer perspective. From a mortgage lender perspective I think the biggest friction point the industry's facing is trying to fit a complex process to create one unified process that works for all.
Praveen Chandramohan (08:36):
And the reality is, it doesn't work that way, right? You're going to have consumers in all all across the spectrum of complexity. You're going to have properties across the spectrum of complexity, the products and the investors demand different things across the spectrum. And, and creating a streamlined, fa streamlined process that really meets the borrower where they are is something that I think the industry is evolving into, but hasn't really cracked it yet. Yeah. So, to me, to me I know we're all focused in different areas of the origination spectrum, but looking at it holistically we should think about it as railway tracks, right? So there's a, there's a fast track for this kind of a borrow this kind of property. There's another fast track for this kind of borrow this kind of property. There's a track with some stoplights for for borrowers or property that are not easily qualifiable. So there's different, different lanes that we need to build. And, and those lanes are not clear yet. And that's something that I think over time, the industry will start to get better.
Bobby Deery (09:41):
I always think about like the easy button that you had at Staples. It's like, we have so much data at our fingertips, why aren't we able to just instantly qualify? So if you're going through a refinance, like pull all the data together, run the findings, do all the different things that are there to do it. But I agree with you the segmentation of the different borrowers and what they're looking for and that we need to probably look at that borrower experience more, right. To make it the best possible for them, right. For the lender. And, I think you know, kind of laid out a lot of the cool ways.
Praveen Chandramohan (10:11):
And don't get me wrong, because the industry has made progress. So the easy button for a wage owner that is seven 40 plus credit score that can qualify for a mortgage for a straightforward 30 year fixed that exists today. So while that is, that's a good thing, but it also addresses the problem, the contrasting problem of, well, what about the rest? Right. Right. And that's that's where I think the industry stood.
Bobby Deery (10:33):
So you did a lot of work to get those insights and to do those surveys. Any other tidbits or things that you'd share with others that came out of that that you think is really important that you learned?
Praveen Chandramohan (10:43):
The importance of human connection came, came out loud and clear. I know a lot of people in the industry are skeptical about when someone says, AI is not going to take your jobs. They're skeptical about it. Right. But the reality is, AI is not going to replace humans, but if you don't embrace AI, it is going to replace you. Yeah. Right. And so embracing AI is, is something that you'll have to it's going to become a reality. Don't rush into it, but also don't ignore it.
Bobby Deery (11:13):
Yeah. So, as you say, like as you talk about the human connection, I think that's something that I've always thought was really important and, and I prefer that experience. Yep. But when you look at the data and some of the other things for younger generations, they don't want to, you know, interact quite in that way. So like, what are the ways that you think you can tailor the experience to those different segments? Like whether one's using AI or just different ways that you can address that?
Praveen Chandramohan (11:36):
So that was another surprising thing that came out of the survey. So while the human connection of having an in-person conversation was not not high in what we would call the Gen z population the human connection through the other forms of communication, text messaging email, all of those were still valid.
Bobby Deery (12:03):
Gotcha.
Praveen Chandramohan (12:03):
So, human connection doesn't necessarily mean I want to sit down face to face, have a conversation. A human connection means that I want to have a personalized experience. And knowing that on the other side of the experience there's a human that's guiding me meant a lot for them. And frankly, I think it can be human and AI assisted activities together. I don't think that is going to change. It's more building with empathy. Yeah. That's the piece.
Bobby Deery (12:32):
And it does seem like AI and, you know, creating those outreach programs has really picked up, right? I mean, not just in our industry, but across the board. And you do have a lot more interaction with an AI, you know, tool or things.
Praveen Chandramohan (12:43):
To have any customer service related experience is starting to see a huge lift from this technology. Yeah.
Bobby Deery (12:51):
That's awesome. Sorry, I gotta look at the, the notes. I'm glad we can edit. This is great. Yeah. So how can, wait we kind of skipped around because we talked about the surveys. So lemme mark that one off. Yeah. And we'll bring in the triggers towards the end. Yeah. We can just kind of talk about that. This
Speaker 4 (13:18):
Little break. Do you mind scooching, just like a hair
Praveen Chandramohan (13:21):
Scooching this way to your left?
Speaker 4 (13:22):
Yeah. If you can, I know there's like a,
Praveen Chandramohan (13:25):
Is that good? A little
Speaker 4 (13:26):
Cooler? Just like a little, yeah.
Praveen Chandramohan (13:29):
Hold on. Let me get, just
Speaker 4 (13:30):
Want to even, even you guys out here. Thank you.
Praveen Chandramohan (13:39):
So this good? Yeah. Yeah.
Speaker 4 (13:40):
Yeah. Thank you.
Bobby Deery (13:46):
So automation is really important right now to reduce the friction, the risk, all of those different things. How do you think the industry's going to lean in there to help? And what are you guys doing in order to lean in to, to help them to automate and reduce that friction?
Praveen Chandramohan (14:03):
This will take a long time if we cover the entire industry. So I'll stick to just the origination segment for now, because I think there's a lot more happening in the servicing capital markets in the investor space. But in the origination section, I would focus on three pillars. New customer acquisition, customer retention, and the origination fulfillment. And the boundaries are pretty clear, right? New customers, someone that I've not seen. Customer retention is someone that I have in my sphere of influence that I do want to have repeat business with and fulfillment is from the time they apply to funding. And automation plays an important role in all three. In the, in the new customer acquisition, there's a lot of automation going on in the marketing technology world, right? And those automation tend to be, how do I create personalized experience for people that I don't know that that feel connected to me as I reach out to them because I'm connecting, I'm connecting to them not with the generic offer or a generic message, right? But a more personalized offer that's relevant to me. Right. And so marketing automation driven by customer segmentation is a big, big, big area in the world of customer acquisition.
Bobby Deery (15:20):
What kind of data are you guys using to like, help inform that? Or what do you think that we can utilize to make that more personable? So like, if you might be, you know, having that conversation for the first time, right? They feel kind of the warm and fuzzies that, you know, you have the best interest.
Praveen Chandramohan (15:32):
That's a great question. So in the world of automation using personally, personally identified like PII is a big no. So we try to stay with generally accepted sources around, around those automation capabilities. So, as an example, if I'm reaching out to a homeowner and I have a really strong home equity product a general message would look like hey we can we have a great home equity product. This these are the benefits. We, we think you would benefit from this, right? A more personalized message would be, you have, you own this property, you have so much equity built on it, I can pre-approve, I know that the property is free of liens and clear conditions and all of that. And we know that the property's in a good condition.
Praveen Chandramohan (16:29):
We do business together. So I already know that you've been good about paying your payments and all of that so I can pre-approve you for this much already. Right? And by the way, if I can tell you using AI that you can now construct a pool in your backyard if you choose to, and that pool is going to cost you so much you can renovate your bathrooms because I already know through my appraisal pictures that your bathrooms would definitely get a lift from the renovation to increase the value of your home. So just giving that level of personalized options that a homeowner would instantly see that not only see that they have a home equity offer, but understand what that means to them and what that would cost and what that does to their property value. That's the level of personalized automation that you can accomplish.
Bobby Deery (17:15):
That's also that you guys are taking all that property data and you're reimagining it to create that personal experience. I hadn't thought about that being a way that you can go down. So do you think that's going to be one of the, like the big pillars that you guys are going to focus on as you are innovating and trying to...
Praveen Chandramohan (17:30):
Yeah. So the area of customer retention and acquisition tends to be one of the biggest use cases of marketing data driven through public and property, property records. The other area tends to be risk management. But there's always a bias towards areas that generate revenue for a company. because Risk management tends to be about saving money for the company, right. Which is equally important as well. Absolutely. But the retention and retention recapture and customer, new customer acquisition tend to be really, really hot when it comes to using the state of work customer segmentation.
Bobby Deery (18:06):
Which one do you think is the most important? If you talk to a lender, which one do you think is the priority for them right now?
Praveen Chandramohan (18:12):
And do you think that changes? I think in the prevailing sentiment, given that this is going to be a largely purchase driven market with these mini refi booms that lenders want to capture, the, the sentiment I'm hearing is retention recapture. And the definition of a retention recapture is not just limited to the customers that are in my book of business, but it's applying to your sphere of influence, right? And so it can be your past customers, it can be once that you've applied business with done business with in the past. It can be ones that came into your sphere through other channels. But if you've spent the money acquiring them into your ecosystem, then you want to ensure that they stay within your ecosystem. And so there's a lot going on in the industry right now in terms of that vertical consolidation of who owns the, who owns the homeowner or who owns the consumer. And that is definitely a topic of interest that I'm, I'm seeing from a lot of our lenders. Yeah.
Bobby Deery (19:11):
Okay. And you had talked about kind of the acquisition, the retention. You said the third one that you guys really center around was origination.
Praveen Chandramohan (19:17):
Yeah. So from an origination perspective, our goal is to provide the tools and technology and those swim lanes that we talked about to take a loan from application to closing in the most efficient manner possible that works for the lender and the borrower, right? And so that's sort of how, so largely speaking, we see we see the entire origination process from a lens of the pillars are around you need to, you need to qualify a borrower, you need to qualify a property, and you need to produce a compliant loan. Right? And of all those three pillars, we participate in those first two pillars, which is how do you effectively qualify a borrower in a compliant manner? Yep. How do you qualify a collateral in a compliant manner? Yeah. And we, we don't play in the, in the closing and funding space based on where we are focused on, but in those two segments, we're heavily focused on how do we provide that in a way where it meets all property, all property types, whether it is the easiest single family property, or if it's the most complex property with liens, judgments, and all of that same thing for the borrower.
Praveen Chandramohan (20:32):
Whether it is the easiest borrower that has a single earning that can qualify for a property, or whether it is a complex borrow with side income, gig gig economy workers, getting self-employed, all of that. And, how do you qualify that borrow?
Bobby Deery (20:44):
Yeah. Do you think that the process changes, whether it's A GSE or a portfolio or it's FHA or va, like how, how do you see that complexity come in? Or do they really stick to one standard? Maybe they're kind of all sticking to the GSE and everything trickle down?
Praveen Chandramohan (20:57):
That's a great question. So every lender has variations of how they process a loan based on the investor that they, that they are eventually delivering that loan. For the most part, I think they try to optimize on the common denominators and try to see if they can make that fungible. But there will be instances where a government loan path will be different from a GSE loan path. And and our goal is to ensure that our technology and, and platforms allow them to do that. Yeah.
Bobby Deery (21:28):
And so, like, I think about that in the last two or three years, it seems like lenders are changing how they do their process mm-hmm . Where it used to be one process, it was a one size fits all. Now it seems like they're bifurcating that or going, whether that's GSE or portfolio, right? Or maybe they're looking at one B in certain situations and three b another, and they're trying to quantify those customers up front, right? Like, what do you think, what do you see, I guess, as people and, and how they are reacting? Is everybody very, very unique, which Right. You know, I certainly think that, but what are some of maybe the common pieces that everybody has and that you're starting to see the industry shift to. And how they're kind of changing their buying of products to support their consumers?
Praveen Chandramohan (22:10):
That's a great question. I think it'll boil down to the business model of a lender, right? Because if you think about from a lender perspective, every lender is unique in terms of the geography that they focus on, the product types that they focus on, the channels that they focus on. I'll give you an example. If it's a direct to consumer model they're heavily relying on their brand, attracting consumers to their platform. And if the brand attracts consumers to their platform,
Praveen Chandramohan (22:38):
by definition, they're going to get a lot of shoppers, but not a lot of closed loans because of the, because the number of people who will be curious just to go find out what's happening mm-hmm . May not translate to high intern borrowers that are coming there to close. On the other side of the spectrum, if you have someone that is heavily focused on like a distributed retail or a wholesale broker, that that thrives on that personal relationship with the consumer, their fallout rates are going to be very, very different. Right. Because, because everybody that applies to them are doing it because of the relationship they have with the, with the individual or with the company. And they, they're doing it with an intent to proceed. And so they, they would optimize for that workflow. As opposed to a direct to consumer, would optimize for their workflow. And so they would sort of shift processes that align to what needs to be done first versus what needs to be done later in the pipeline.
Bobby Deery (23:32):
And that makes sense. And I think a lot more on that side of the house have changed their buying behavior just due to the fact that they've had to, that people are shopping around and do not have maybe the stickiness that they've seen, you know, four or five, six years ago. Right. But that's interesting. So we've talked a lot about retention, and I wanted to go a little bit more into that. How can we help lenders support that customer retention? And I think that's even more important because in the world we're living in today, we obviously know that trigger legislation has been passed right? Over the past few months and starting in March, I believe that will kind of be the go forward that, you know, that no longer will be there from an acquisition trigger standpoint. So how do you think that we further support all of those customers that, you know, need help from a retention standpoint, right?
Bobby Deery (24:16):
Whether that's people that are actually, you know, holding a mortgage loan with them, or, you know, you even just talked about people that maybe have a checking account with them, but maybe not a homeowner. How can we kind of further, you know, grow that business that they have with that person that's under their roof? And then, you know, what does that ultimately mean in the triggers world? Like, the way that I think about triggers was you know, there's, there's some bad things about it. I certainly recognize that we do not want anybody to get, you know, hundreds of calls, but there was also a great benefit that you possibly weren't going to go out and shop Right. And you got a better price. I know that I've got quite a few friends that have told me that, you know, some of those phone calls actually ended up in them getting right. You know, a quarter of a point better rate and reducing their, so kind of, how do you think, I know it's a loaded question. I threw a lot at you. Yeah, no, but how do you think the retention, the triggers and all of that takes?
Praveen Chandramohan (25:03):
I think every legislation has intent and some side effects, right?
Praveen Chandramohan (25:11):
This one, I think in particular weighed both options and gravitated towards protecting the consumer because the consumer always has a choice to shop. And there's enough shopping sites these days where you can, you can go in and figure out if you truly want to shop for a lower rate or a better service, you can do that. But I think the, the trigger bill was helping to design, to prevent abuse for any given consumer. Now, having said that, the four carve outs in the trigger bill are very important because it doesn't take away the essence of customer retention in any way, shape, or form. Right? Right. And, and it is interesting because not one entity owns a consumer. In fact, I would say nobody owns a consumer, but for all, for this conversation's purpose, not one entity owns a consumer. So you might be in pipeline origination pipeline with someone. You might have a banking relationship with someone, you might, your current loan, your prior mortgage was with someone or your servicer, somebody else. And all of those aspects are covered. And, and the idea behind the trigger bill is if you already have these existing relationships, you have the right to go to the consumer with the right offer if you know that they are in need of help. Right. And so, so just wanted to because sometimes it gets lost.
Bobby Deery (26:31):
Yeah. Gets, that's important.
Praveen Chandramohan (26:32):
It gets lost in the whole talk track that triggers are going away. Well, technically it's not going away. The abusive part of it is going away, but the true intent of triggers is going to stay. Now you talk about customer retention, I'll go back.
Praveen Chandramohan (26:50):
US is one of those few countries where mortgage is sort of its own financial thing, right? In many, many, many countries. Mortgage is yet another financial instrument offered by a banking institution as part of extending their, extending their portfolio and helping the customer. Now I'm not saying that's a bad thing, but I think what it has trained us historically is it's a transactional relationship. Right? And part of the reason is there was not economics that supported it. In the past, buying a house or refinancing a house tended to be like a once in a five year thing, or a once in a seven year thing. And the return on investment on keeping a customer through various engagement tactics, it wasn't really there. But I think what's happened now is there's been a shift in the industry where there's a shift to more relationship based lending.
Praveen Chandramohan (27:47):
There's a shift to understanding that home is an asset. And by definition what that means is it is not limited to just the purchase transaction or the refi transaction. There's all sorts of financial products that come in for converting home as an asset where you want to improve the value of the asset, or you want to tap into the equity, or you want to use home as a financial instrument for your retirement planning. There's just so many financial options at this point. So from a mortgage lender perspective, all of a sudden maintaining that relationship is starting to make economical sense. Yeah. Right? Because once they lose a customer, it takes them about 1200 to $1,500 to get them back. Yep. Whereas you spend about 200 to $400 in terms of customer attention, and they're weighing those two options and that sort of a no brainer.
Bobby Deery (28:34):
Do you think it favors specific lenders? And what I mean by that is if you have a bank that has many different arms of ways that they can service that customer, do you think that that lends itself to being able to keep that customer and retain them longer than, say, a lender that is maybe a little bit more transactional, but only does the lending side of the business?
Praveen Chandramohan (28:52):
Right. And, that's I think definitionally that is correct. And probably the most obvious thing, because the more things you have to offer, the more shots at the goal you have with the consumer, and the ability to provide more value to the consumer exists because you have, you have a much wider array of tools that you have at your disposal. But that doesn't mean if you are a IMB that is solely focused on origination lending as your only as your only option those companies are also starting to get more innovative in offering other things, not just a mortgage, but different flavors of home equity or the ability to do cash out refinances and things like those. So they've sort of widened their, widened their toolkit as well. But to your original point, the more you have to offer, the better your chances are.
Bobby Deery (29:43):
Okay. Kind of one last question that I've got for you. We've been here a couple days. Is there a booth that you stopped by and a company that's emerging in the in the space that you think is cool and creative? Is there something that you heard on stage that you thought was cool or important or, you know, kind of what, what's like the tidbit or the thing that you would take away from this conference that you're most excited about?
Praveen Chandramohan (30:03):
So I'll be brutally honest. When I attend the MBA, most of my days are spent meeting customers. Yes. So I largely, I don't get the opportunity to go and visit booth and things like those. But generally speaking, if you look at the type of booths that are here now versus let's roll back about four MBAs before, or five MBAs before you're starting to see, you're starting to see a lot of tech forward companies come in with a lot of product launches. Cool. New ways of automating the end-to-end flows even if they're picking little silos of the problem you're starting to see a lot of that emerge, which is, which is great to see. Right. I was invited to the AI lab that didn't exist to MBAs ago. Right. And so you got, you're starting to see more tech forward approach. Yeah. Which is nice to see because our industry has been lacking in that.
Bobby Deery (30:56):
Yeah, absolutely. So I wanted to give an opportunity for you to let everybody know kind of the tools and the resources that they have available. Is there anything that you'd like to kind of talk to the folks that are listening that would, you know, allow them to seek out more information or get in contact with you in order to find out more about totality and what you guys have to offer?
Praveen Chandramohan (31:14):
Yeah. No, so that's a great question. So first thing I'd like to clarify is CoreLogic is now Cotality. The most the most popular question that I used to get was did Cotality by CoreLogic, and then I had to tell the story about about how no, this was a transformation that we took. And we are fundamentally a different company now than we were several years ago. And it felt the right time to go through a rebrand. And so we were, we're here to stay. We operate in three major verticals, mortgage, insurance, and real estate in the context of MBA, I'll stick to mortgage vertical per se. But in the mortgage space we're, we're an end-to-end provider. So we focus on lead generation, prospecting, retention solutions borrow qualification solutions, collateral solutions tax payment solutions and risk management solutions for services. Right. And so there's a spectrum of solutions that we offer. And we're very proud to do that all driven by the wealth of data that we have through all of these different verticals that we've that we've done business with.
Bobby Deery (32:30):
Yeah. It's super exciting. We really appreciate the partnership. The only thing I'm going to ask is Apple still auto corrects Cotality to something totally different. Yes. So we need to figure out how to
Praveen Chandramohan (32:40):
Yes. We need to figure that out. Google Google also does that, but I do total totality. It goes vitality. Did you mean vitality? It's like, no, no, no. I did mean totality, . So we'll have to fix that. Yeah.
Bobby Deery (32:51):
That's awesome. Well, thank you again for joining us. We really appreciate you spending the time. You joined us, sorry. Thank you for joining us live here at the Equifax podcast booth at NBA annual 2025. It's clear that the mortgage lending industry has a really bright future. I think we're going to be driven by a lot of great technology and, you know, we're really going to anchor behind creating a better experience for consumers and lenders in total. But again, thank you for being here and really looking forward to the partnership and, and everything that we've got to come in 2026 and beyond.
Praveen Chandramohan (33:23):
Thank you for hosting. This was this was a great conversation. Yeah, thank you. Looking forward to it.
Bobby Deery (33:27):
Yeah, enjoyed it.