KGCI: Real Estate on Air - Revolutionizing Real Estate with AI The Future of 3D and Predictive Analytics!

Episode Date: July 24, 2025

Summary:Step into the future of real estate as we explore how Artificial Intelligence is fundamentally transforming the industry, with a deep dive into the power of 3D technologies and predictive analytics. This episode unveils how agents, investors, and developers can leverage AI for enhanced client experiences, smarter investment decisions, and unparalleled market insights. Discover the cutting-edge innovations that are streamlining operations and creating new opportunities in a rapidly evolving market landscape.Bullet Point TakeawaysThe AI Revolution in Real Estate: Understand how AI is becoming an indispensable tool, automating tasks, enhancing data analysis, and driving efficiency across various real estate functions, from marketing to property management.Immersive 3D Technologies: Explore the impact of 3D virtual tours, digital twins, and augmented reality (AR) in showcasing properties, enabling remote viewing, and creating engaging, immersive experiences for potential buyers and tenants.Predictive Analytics for Smarter Decisions: Learn how AI-powered predictive analytics tools analyze vast datasets to forecast market trends, identify investment opportunities, predict property values, and pinpoint motivated buyers or sellers with unprecedented accuracy.Enhanced Client Experience: Discover how AI facilitates personalized recommendations, responsive chatbots for 24/7 support, and tailored content delivery, leading to more satisfying and efficient client journeys.Operational Efficiency & Growth: See how AI streamlines back-office tasks, automates lead nurturing, and optimizes marketing spend, freeing up real estate professionals to focus on high-value activities and strategic growth.Topics:AI in Real Estate3D Real Estate TechnologyPredictive Analytics Real EstateFuture of Real EstateReal Estate InnovationCall-to-Action:Ready to embrace the future and revolutionize your real estate business with AI? Listen to the full episode on your favorite podcast platform and stay ahead of the curve!

This is everything they never told you about real estate, helping you scale your business, implement AI, and capitalize on the latest tech and lead gen strategies. And now here's your host, the AI queen of real estate, Carrie Sovey, and the queen of Canadian real estate Jennifer Jones. Welcome back to the podcast, everybody. We're taking a little bit of a shift from our usual contact. and our usual types of guests today. And I have two special guests,

being your AI expert for the real estate industry. I wanted to bring you owners of AI and tech companies so that we can talk about the products and the platforms that are being built. So I have two guests today. We have Chris Groenveld and Gregory Ardbalava. I hope I didn't butcher your names way too much. Now, you guys own three key companies in the real estate space. You have 3D apartment.com.

You have listing 3D and the one that we've been talking most about, which is propertypulse. So first of all, thank you so much for being here. And I'm really happy that you took the time out. You guys are based in New York City right now. and I'm up here in Canada. So thank you for taking the time for us Canadians. Even though this podcast is listened to literally worldwide, we are hosted by KGCI, which is real estate on air owned by EXPI.

So everybody's going to hear you and what you have to share, regardless of where I am. And yeah, let's talk about, let's talk about the companies and exactly what they look like and what they do. Yeah, no, thank you. Thank you for having us. That's a lot of fun. As far as the companies, I think the way we see the reality and the world is that we see

the web, our goal is to make the web three-dimensional. We see the internet in general becoming 3D and AI-driven. And every product that we've built as far as the companies, we focus specifically around those two things. The problem that we're solving is basically the world around us is three-dimensional, but the internet is still flat. And we started with the 3D apartment.com. Five, six years ago, I don't even remember at this point.

the time is blurred. And essentially, the idea was, let's bring computer vision and artificial intelligence to build 3D dimensional spatial environments and help real estate agents to list this properties and have users to experience the world in 3D. Back then, when we started building the product, there weren't no accessibility. for 3D assets to be displayed on the internet. What I mean is you couldn't just upload 3D URL on MLS or Zillow or Realtor. It was just nonexistent.

I didn't want to accept 3D. The website was not built for that. And since we were, our goal was to let's digitize the, at that point we were digitized in the city of Gorson. And let's digitize and have every apartment, every property, virtually 3D captured. And we've built at 3D apartment.com. And at 3D apartment.com, everyone can just go in and like in right now or just users search and move to user experience. Not only the internet today is flat, but most of the time the way you experience the

internet it's you are long what i mean by along you by yourself looking on the screen and get a feedback by comments or likes but you're still experiencing a long and the next generation of internet what's being called web 3.0 supports to change that we should be able to experience the internet the way we experience the life uh with other people so So the search, the internet will become multi-user experience. And today at 3D apartment.com, you can search properties not only in 3D environment, but you can also search with your friends at the same time. Similar how you would see properties in real life, it's a gamified.

You can see where I'm looking at. You can see, I can see where you, which room are you at. It's like in a game. And that was the 3D apartment. And when COVID happened, we grow X10. When we're flying, we're all really fast. And that required us to create a network across United States. And the listing 3D.com was byproduct of 3D apartment,

where as little as 60 seconds, you can book on-demand Photoshop across the United States, and it will be delivered in 24 hours with our proprietary 3D player, multi-user experience. We are the first one that actually also being able to add and remove 3D objects inside of the 3D environments, creating mutual staging. Decluttering.

We have a partnership with the core.com where we can put day furniture and you can buy this furniture or lease the furniture directly from just seeing the property. And that I'm going as far as the years and time flows

really fast and then we all reached a point where the inflation was going on super high, and then the mortgage rates, the monetary policy all started kicking in and slowly that affected the inventory. And then it reached to the highest, I mean, the lowest inventory level we ever seen in the last 10, 20 years probably. But where is the problem? There's an opportunity. Yeah, absolutely. And at that point, our main core business were affected because our main core businesses were so dependent on the flow of inventory and then it's gone.

We were looking at this and asking ourselves, what could be done? And with my experience in the machine learning model and one of the first products we built together as well, Chris, is for the boutique firm, with the data analysis. Basically, the idea was born as the latest advances in computer vision as well as machine learning and analytics. The idea was that why don't we deploy machine learning model, train it based on a historical cell data, and try to see identify the patterns,

which properties more likely to list in next 120 days, next 100 days and the wine. So we went back 40 years and we're looking very need of greeting, looking into the every detail as possible. The property's characteristics, homeowners, a scenario, homeowners age, the homeowners equity level on the property, the type of the mortgage. Really, there's thousands of different scenarios and try to piece those together

and see if that were actually impactful for homeowner or the property from the angle of the demographic shifts and the appreciation in the neighborhood and equity in the neighborhood that will force to go list. I mean, we as a speech, issues, we think that we have a free will and nothing can affect us in terms of decision-making.

But the reality is that there are underlying forces and gravity that affect the decision-making. And that could be even... It can be analyzed. Yeah. Right. Those signals can be identified. Obviously, we can predict death or the divorce. But those are such a small percentage in terms of overall volume of transactions and why people sell, that it's not even interesting to focus on that. And those type of transactions usually take a lot for real estate agents,

a lot of hoops to go through to be able to get all the parties together and sell the property. Yes, a homegrown product, similar to Matterport. in terms of the quality, but we use different approaches, so to speak. They do utilize, we do work with the Maripore.

Matarpo is a great company and product. They chose to have the interface and model closed. There's always closed on open model. For example, Apple is closed model, Android is open model, and Microsoft

of this open model in terms of what we see is important and where we disagree on the fundamental level of the Matterport is the ownership of the data. The ownership of data, imagine you capture photos on your phone and those photos belongs to Apple. Essentially, that's what happens with the Matterport. Everything that you capture through the product, camera, it's all belongs to. the matter for it. As soon as as you start paying the matter for, you can no longer use the product. And we believe that

essentially, in general, as a company and as a society, we're all tired of our data being utilized in the way that we don't have access to and as well as we don't get paid for it. At very least, you should be able to own

the data that you should pay it and independently stores. So to answer your question, yes, we do work in Matterport. A lot of tours on our platform are uploaded by

real estate agents that use Matterport. But our product is hardware agnostic. We're not focusing on which camera you use to capture. We're focusing on the player itself imagine YouTube

where you upload different types of recordings of the videos doesn't matter what type of format you use to upload it will display and then you will be able to see it and that's our end goal with our product is

for you to capture it doesn't matter what product or camera you used you will be able to migrate on our platform and at the end of the day you own the data that you upload to our products and you'll be able to turn it off and activate or independently store it.

But the environment is one-to-one similar to Maport. It's just it's a similar experience. We have a virtual tour. We have a virtual tour component that Gregory created. It has the ability for users

to go into a Zoom-like function. They create their avatar, and then they can actually send an invite to their friend or their family or their partner, and you can go right into the space together and view the property together. I love that. Yeah. Verbella, yeah.

So EXPI owns Verbella. Are you guys familiar with our metaverse for agents and everything? We can go to the beach. We can hang out on a boat. We can do whatever we want. It's fantastic. Yeah. Yeah.

They can actually go through the space and check it out and reverse. Okay. This is what I'm really interested in. And JJ, I want you to listen to this. Their newest company, which is property pulse. AI. And this is taking, you're starting with data analysis, a massive amount of data. And you've got all these different data points.

So you have mortgage. information. You have, Chris, tell me a little bit about all of the data points that you're feeding in and then what the end goal is of this company because these listeners, you guys want to hear this. This is a game changer for our industry. So what's best about it at the end of the day is, yes, we are targeting hundreds of thousands of points of data. I would probably have to be with you for the next like several hours to go over each bit and piece of data that we are looking at. So I can't get into every specific, but we are looking at hundreds and hundreds of data points like Gregory, so that goes back tens and 20 and 30 plus years to look at the patterns of that particular homeowner to see exactly what may be going on with that person at that point in time,

because we want to create a predictive analysis as to why they may have to have some type of motivation to sell at the end of the day. And traditionally, real estate agents have always used methods of prospecting where, you know, you typically go into a product, you select your categories as far as the criteria. And you can only really choose maybe a handful of data at the end of the day. And it doesn't really get you to the point where you're looking at something granular. So what we're ultimately doing is we're giving you that needle in the haystack right up front as opposed to. to you having to go through all those haystacks. And I could speak to that because I'm a 15-year vet in real estate. I've built telemarketing divisions.

I've booked prospecting teams across investment in real estate brokerage. So I've seen first and foremost how hard it is to actually go and zero in on that one property that makes sense. And it's super, super time consuming, which we are working our butts off to. to take that time-consuming element out of it to make it as easy as possible for the user at the end of the day. Yeah, so this is the new way of lead gen, right, Gregory? This is the future of lead gen. It's called intelligent lead gen as opposed to what's happening right now.

Yeah. I think, I mean, there are a lot of things going to change very soon in how we do things as far as you know you might have and I might have our own replica of ourselves they're going to speak to each other and connect and schedule

the appointments and so on and so forth it's not too far away from it instead of having the phone number that we share we'll just share our replica digital replica of ourselves so bringing back to data and the machine learning model.

Most of the large language models are trained and good, like chat GPT, the way it builds the synthesis of the language and the words. It's because it predicts based on the data what words are going to be used

and which words are best to use and when and how. Similar to here, we've built our own proprietary and neural network and machine learning model that understands the behaviors that matches the patterns that were able to identify in 40 years of the transaction history on the Zipkot level, on the property level, and identify why some of the properties were selling someone else not, and what were the homeowners situation at that point of time when the property were selling. And as I said, we think that we do have a free will, but a lot of stuff that we do

are dictated by the environment and how we think what we decide to do is dictated by environment or signals, signals from that stress signals or financial signals that are forcing us to make the decision. If house next to you were so appreciation and sold for $6 million plus and you have equity 100% on your property and you

can exit the property with plus $10 million, you are start thinking what can you do with this money? You are forced to think if all over the other neighbors are selling. It's not necessary that

that's going to happen, but there is a high probability they can be assigned to, and this is another thing. One thing that we, once we deploy our machine learning model, which uses different types of models, around the forest, neural network, regression model, then we score independently all this signals, similarly how Google indicates. the websites, and then we run lead analysis on everything that is being scored good or yes, that's going to sell. And then once we run lead analysis, we identify the level of urgency of selling from low

to high. Yes, you might sell, but you might sell in a year or two, but our goal is to assign lease to the ages that within the next. to 100 days, they will sell the property and then urgency will dictate based on the situation individually. It might be the type of the mortgage homeowner has a balloon mortgage. Those type of mortgage are short-term mortgage flipping properties and it's coming to the different scenarios. It's different scenarios and this is more on the math side and most of them

you'll be predicted we do come not to the certain degree that but there is a level of depending on

the type of homeowner the age of the homeowner but not we're not yet in we're not yet

cross-referencing there is a way to understand what type of if you search certain things online and certain

zip code but we're not yet deploying this type of data. Oh, good. I love that. Then you're serving up the lead and also telling the agent how to convert them as well. I think that would be a winner, you guys. Just an idea. Yes. You are hired. I love that. It's a great idea.

there are some challenges with that, but essentially, yes, it's possible. It's possible. We do provide type of signals why this property or homeowner is more likely to come on market soon, and then based on those signals, then we provide individual lead nurturing strategy with 20 touch points, starting with the email sequencing, with the handwritten card. Everything is, you don't even need to think what do you need to say or what do you need to do. It's literally given to you.

And then now we take in the next step in our product development where we use an agent And all you to do is basically connect the email address, maybe phone number, and we'll do the rest. We will generate those touch points on your behalf. So you will only use to do this, just take that from us once the lead is ready to schedule the in-house showing. Because yes, we all, we don't want to do extra. work. Even if the elite says, I'm ready to sell, sometimes agents don't call them next day or immediately. It takes time for them to reach out to the homeowner for many multiple reasons. Something happened during the day and so on and so forth. So, and goal for our product is

make it so easy to use that anyone, anyone meaning any agents, even if it's a newbie, will be able to be successful in our product. It's what we provide besides the analytics and the AISL leads. We also provide nurturing strategy to every leader we assigned to you. So now what we focus on our backend of development is, how can we now use what we've built to give the, where agents just connect the email address, and we do the nurturing of those leads.

We do the outreach. We can even deploy voice AI to call on your behalf technically. Okay, so this is available in the U.S. currently. And your plan is to obviously bring it to Canada. We are talking about you guys coming to the event that I'm hosting in September. So hopefully we can get Canada ready. And what is this cost right now? An U.S. agent, what does a service like this look like in terms of an investment?

So we have a few different tiers. We specifically wanted to build the product to be affordable for each different type of agent. Because as you know, you have your New York City market and your Miami market and your California market, which are extremely high in price. But you also have Ohio and Tennessee and Pennsylvania where it's a little bit cheaper to sell a house, right? So we wanted to make it affordable for everybody. So we're starting at $500, $850, and $1,250 a month. Those different tiers are also based on the activity of that market and also that particular area, right? So if you're in New York City, yeah, you're probably going to be at the highest tier.

Yeah, well, this is great because when you have your data for Canada, I have your case study, your first test run here. Jennifer Jones has one of the largest teams in Canada. So she will happily test out when you are Canada ready. Just going to throw that out there because this is wonderful. Wonderful. Yeah, absolutely. One thing that I did want to touch on was wait.

didn't even really talk much about the interface. What I think is incredible that we've done is if you look at most products across the industry, they only ever do one thing great. It's typically data at the end of the day. We've been able to incorporate data and the user experience to make it a seamless interaction for the user so that you're really looking at the most pertinent information that you as a real estate agent need to be looking at to transact on that property. when you need to. And a lot of that came from, I myself and Gregory's experience

building a lot of this CRM technology, probably over the last 10 years. We've had a lot of time to really kind of mess around and see what worked and what didn't work. And also take a look at some of the other products that were out there and see if they were good or not at how they flowed.

So our workflow is actually really, really great. That's awesome. Well, you know what? You're the listeners, you guys are, this is the cutting edge technology. This is why you guys listen to this podcast to learn about what's the next biggest thing in AI that's going to actually make a serious impact on your business. And this is going to make a serious impact on your business. So get the hell on board with AI.

Guys, I'm going to put all of your socials. I'm going to link everything in the podcast. So if you could send that to. me. And hopefully everybody in Canada can experience this sooner than later, Gregory. So let's get Canada going with our data. And I know I've talked to you guys about where you can source your data already. So hopefully you're having some luck with that. And I really appreciate you guys coming on the podcast today. Obviously, we're all big fans of AI on this podcast here for many, many different reasons.

And if you are not using AI yet, you are already so far behind. Okay? Yeah. But here it is. You can catch up really quick because AI is advancing so quickly that everybody who's ahead of you will not be ahead of you next month. Just get on board and join the party because the water's great over here.

Thank you guys so much. And it's been a pleasure. Thank you. We appreciate it. Thank you. See you guys later. Thanks for listening to everything they never told you about real estate. Be sure to subscribe so you never miss an episode.

To connect with Carrie or for more information about her coaching program, check out carysovey.ca or at Carrie Sovey and Associates on Instagram and TikTok. Thanks again for tuning in and we'll see you next time.