RHS 175 - Izik Lavy on How Property Data is Changing Property Insurance

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Hello everyone and welcome back to the show. Today we have a tremendous episode with you with Isaac Levy, the founder and CEO of GeoX Analytics, where we're talking about what is possible when we can infuse real-time geo-based data and analytics into the insurance experience, what is possible on the other side, why you may never have to do an in-person physical review of a building again, why that day is coming, why we never have to drive by and take pictures or do walk-arounds because satellite imagery, video imagery has become so good that it just may not be necessary.
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I'm going to shop booze! so uh yeah we can we can get right into it um i like to kind of start start hot and start fresh and not waste all our flavor um in the in the in the before we hit record or whatever so um you know i i appreciate you coming on the show i i think know, I took a look through what you guys were doing. It seems ridiculously interesting.
I have a ton of questions, but I'd like to start kind of at the part that people find oftentimes the most interesting is like, what's your origin story, man? Like, where did you guys come from? Where did you come from? And where did the company come from? And you don't have to do every detail, but what you think is pertinent, and then we'll dig in. Yeah, I think our background is coming from the tangent scope.
We was like searching. We was responsible to provide corporate information from very critical decision makers.
So typically, like, the need is coming from many industries um not only the insurance carrier but i think that eventually insurance carrier suffering the most and this is exactly where we are coming to the story and say okay we want to help the insurance carrier to give better insurance and also to understand better the risk and also to notify the owner what is the risk that he has. Because eventually we see that insurance carrier, they are like a channel to the owner.
And if you want to reduce, if you want to help to the owners of the property, the best way is to get through the insurance carrier. And I think this is exactly what we are trying to do.
this is what we um what we feel that insurance carrier eventually they paying the bills most of the time and this is exactly where we are saying okay if you're looking at the numbers one minute just to understand the point because we are in the insurance space so we need to discuss about the numbers so in 2000 to 2010 insurance carrier lost only in the United States, only property, $200 billion. And one century after this, in 2010 to 2020, insurance carrier lost already $520 billion.
So it's almost like, you know, it's increasing by 260%. And like century over like a century over a century.
And according to all the analysts, we're going to cross the one trillion dollar in losses, only property on the United States. And it's causing us huge, huge losses, you know, just just to pay claims.
And it's not give any value to anyone. I think this is where we are trying to get to the chain and starting to say no.
As insurance carrier, you can predict the events and you can also help your client, give them better service, notify them. So, for example, if you live in California and you have, let's say, many trees and many vegetation around your, a huge amount of vegetation around your property.
So by insurance carriers say, okay, look, we see that you're not handling well with your vegetation, please cut the brushes, for example. Make action to protect your property.
And eventually, when insurance carrier can give this comment to the owner of the property or for commercial property, for example, to make action to reduce the risk from storm, to reduce the risk from wildfire, reduce the risk from health, etc. To all the type of risk, even from flood.
So eventually, they will be able to save more properties and also to save lives as well. So I think this is like the main goal for us.
And this is why we're so looking and so like the insurance institute. The influence is huge.
How did you get into this? Like what was spark to start the company? I completely agree with your premise on the business 100%. Understanding proper building valuations, proper building risk management, all those kind of things create drastic and significant and almost immediate improvements in both underwriting losses, properly capturing enough premiums to pay claims, all those kinds of things, a hundred percent.
But like what, you know, I'm sure, you know, your boyhood dream wasn't to be a geographical building data analyst, you know, where, how did you get to this point and what sparked you to, to create this company? So I think first I really liked this industry of the geospatial and pop tech information. Like this is where I first find this industry in the intelligence scope.
And I really love this. Like what you can do data, it's huge.
And I think this is where I

started to be in love

in this industry. And

after this, when I understand, okay, so what

is the next step? How we can

create something valuable?

You know, there are many sectors

and many industries that not

provide value, but you know, as

a young generation,

we're always looking, okay, how I can provide more value to eventually to the world. Like, if I will die tomorrow, like, what is the value that I bring to the world? Like, I just, you know, breathing and sleeping and etc.
So by looking on this direction, I said, okay, the biggest value that they can provide eventually is to do x, y, Z. And as I said, like to protect properties and to protect life eventually with property information.
And this is eventually, okay, so what is the role to do this? So we're also working with, for example, with the World Bank as well. Also, we worked in the past with FEMA Federal Emergency Response of the United States to make sure that...

So we not only do like direct insurance carrier, we're looking on another area to eventually to protect people's lives and people's properties and to make the life better for all of us. So even from the small things to big things.
So I think this is what is good. Insurance industry, again, it's the wonderful industry to make a change because eventually they pay the bill for everyone after the natural disaster, after losses.
So that's tremendous. Thank you.
So when we're thinking about this property information, you have both residential and commercial buildings. And one of the things that seemingly separates you, and I'm interested in this, is the idea of this 3D aerial imagery.
What does that mean? How do you collect it? And why is that an improvement? Why is that an advantage? So I think when we're looking on the entire area, we need to create, not only looking on the TD environment, also we need to look on 3D environment. And I think objectively, when you're looking on the 3D environment, you can receive much more insights.
I can give you like from the smallest insights.

So there are water body and you know what is the distance between the property and the water body. But when you have the 3D information, like what is the height of the property and how many stories you have there and also the water body, what is the height of the water body and what is the distance? So it makes the entire picture differently.
so if the water body is very close to the property

but actually like 10 meter less or you know 20 feet less so for you at insurance so the risk is very low and but if the water body is very high like even far away but very high and significant to you significant body. So typically you will understand better your flood risk.
And from storm, for example, if you have a tree around your properties, so when you know that tree, okay, fine. Like every area in California, almost like in Florida, you have trees around the properties.
But if you know, for example, what is the height of the trees, so you know the trees is two times this property and it's very close. Or, for example, it's only one meter, this tree, and it's very close to the property.
So the entire risk is changed. And this is exactly what we provide.
We can continue with the slope of the roof, for example. And you have this information like today on the NADCAP modeling, like AIR.
And it's feeding this information. It's missing from an insurance carrier perspective.
So where do we provide this information? Some of these already included and some of these is not included. But it gives you an entire different perspective on the environment.
Yeah. And also by the risk.
That's a really interesting, that's a really interesting insight because, you know, I'll tell you that's the battle. So where I'm located is upstate New York, the Albany, New York area.
So we, we actually people who aren't familiar with the geography, it's actually where the Mohawk river, which is, which runs West to East and the Hudson river, which I think is the third largest river in the country, runs north to south. It's where they meet is basically this Albany.
There's another city, Troy, but it's where they meet. And it's a valley.
So there's basically two mountain ranges and then the Hudson basically carved out this valley. So you'll have people that live a you know, a quarter mile or less from the Hudson River that are 400, 500 feet above the Hudson itself because of the slope, right? There's a tiny amount of flat area.
And then it goes, goes up the, the basically Albany and Troy are built on the sides of hills and ultimately not mountains, probably more like hills, but smaller ranges. But there's no risk of the Hudson.
Let's say if the Hudson River floods those properties, we have much larger problems as a society than that flood at those places. And you would have battles with the insurance carriers around flood issues and water issues.
And I'd be like, no, I get that this pin and this pin are too close for you if it were flat, but it's, it's, you know, people can't see me, but you know, there's a substantial difference and you'd have to have this battle every time with them about that. And, you know, it just, you know, and what I'm hearing you saying is that at least in that

one particular use case, this type of 3D imagery solves that problem. You can give them both the height and the distance and say, look, there's no chance that this property floods.
It's 350 feet above, even though it technically is within the horizontal distance that would be a flood. Is that accurate?

Accurate.

And actually, that might pitch.

So I think you absolutely right. You can steal that story.

You can say, I know this guy up in New York,

and here's what you can steal away.

So how do you get this imagery?

Like, where do you get this from?

So typically, we have a couple of data source. We're not related on only one error imagery.
It's very important for us. So today we find like many insurance carriers that using some type of error imagery, but eventually if they cover only 70% or even, you know, 74% of the entire book, it's still, it's not giving service to anyone.
So I think to be able to provide to anyone service and good service, even if you're living in suburb in May, or if you're living, for example, in Montana, or if you're living in New York, eventually the insurance care needs to serve everyone. So I think for this, we have to work with many, we're working with several energy providers and also to provide the most recent error limitry to our client so this is our first priority and i think uh this is regarding to the error limitry uh so we use aircraft and also we're working um outside the United States and outside the United States we in some places you know uh the insurance carrier that ensure everywhere, in the entire globe, even in China, for example,

you will find an American company that insure there. So typically we're able to serve to the insurance carrier everywhere.
And this is one of our biggest advantages. So for example, in Australia, almost all the insurance carriers in Australia are using our data.
For example, in Japan, we have huge insurance demand from this area as well. So we're able to sell them as well.
And also, of course, in the United States. And we're growing in footprint because eventually, we're thinking that we're living in the United States and it's only our area, for example, New York or, for example, California.
We're living in one state, it's fine. But eventually, everyone's suffering the same problem.
And as we know, the insurance space, it's one global market. So if there are huge events in Florida, it will influence all the entire reinsurance world.
And reinsurance, if it will be influenced on the reinsurance, eventually, it will influence all the insurance carriers around the globe. So even if I'm living in, for example, Miami, I will have this influence.
And even if I'm living in New York, I will feel the influence of raising of the insurance carrier, raising of the premium. So I think that eventually, everyone's suffering the same.
We need to be able to help to all the insurance carriers 100 coverage and also the 3d information so we have to leverage as much as possible data that we can yeah i've actually seen one of those planes um that's canvassing fly over our area before it's kind of funny you like see this plane like crisscrossing you know kind of doing like a lattice pattern across the area and And you're like, that plane is, what is that? Yeah. At first you, I don't know what the hell they're doing.
And then, you know, and probably most people don't even pay attention, but being a nerd, you know, we're all nerds in insurance industry. You're like, I see, I get what they're doing.
You know, they're, they're making this pattern. That's a little too, you know, it's not just someone out for a ride.
Like it's, it's like a legit, I can watch them working back and forth and it is pretty wild how, how that happens. So, okay.
So you, you have this imagery data and then basically what, what your company, what your software you built does, it's actually taking and, and, and, and it's able to analyze these pictures. I'm assuming, is it, is it video footage? Is it, is it actual pictures that you're getting back? Is it both? Like how are you able to decipher, you know, from this, from this plane flying over? And I guess this is probably some of the magic that maybe people who don't understand how the technology works, maybe just give them some insights.
This, this plane flies over Albany, it creates a video or a set of images and they deliver it to you. How does that turn into you knowing height distance, uh, you know, the, the, all the way down to the shrubbery of the building and, and how different, you know, there's a little crick behind your house that could, that could overflow.
But this, this one over here is not a problem. And we need to adjust.
Like, how do you, and maybe I don't, without giving away the secret sauce and I'll tell you very few people who are listening to this podcast, no ones and zeros. So even if you told them that it probably couldn't do it.
But you know, the, how, how does that actually work? How do you, how do you create that type of, how do you create the structure in the images is probably a way of asking that question. Yeah.
So typically we, it's much secret sauce. We go by high level because we don't want to be too much nerd.
So typically we're leveraging AI machine learning models and the most sophisticated models of the industry. And we also develop internally.
So we have a couple of doctors and PhDs that are doing it. And also from another end, we also leverage an algorithm, the independent.
We have several patents around this algorithm that allowed us to be able to enrich our AI models and also increase our results. So in this key, we're able to also to provide a 3D environment and not only the 2D environment.
And as we're looking, it's very simple in regard to the 3D information. So as you have their imagery, so you typically have one imagery from one that's looking on the same meaning.
Like imagine that you have two imagery on the sky from different directions, different angles, and both of them looking on the same meaning. So typically you create their translation between these two meanings and also the point on the ground.
So you're able to create this 3D environment. And the secret is how you create it in scale and how you create accurate results and better data and et cetera, et cetera.
So this is typically what we are more focusing on. And yeah, I hope it was in it? Yeah, no, that makes a lot of sense.

I mean, basically you're getting different pictures of the same structure and then the algorithm is able to pinpoint the structure and kind of pull all those things together. And then, so you get all this, this raw data from the images itself.
And then what, what, um, one of the things that you guys are doing is then taking that and actually going a step further and saying,

okay, so we have all this raw data pulled from this imagery,

and now we're able to say not just that a shrub exists, but that, again, just using your example before,

that this shrubbery is actually creating a fire hazard situation because it's too close to a building,

or this tree is overhanging a series of power lines that, you know, is in a wind zone that could easily be pulled down. And, and so, so that must've taken a lot of, of the F I'm assuming that there's the first stage, which is the flat nerdiness of, okay, pull all this imagery, pull out the raw data.
Now we have the raw data. Then there's actually the business piece of it, which is coming in and starting to execute that.
Talk a little bit about

how do you start to determine, are there just straight regs that you're working off of? Is it

you bringing in expertise from actual insurance carriers, risk management, PhDs, et cetera,

actuaries that are getting involved? Is there a whole pool of people helping you determine what the actual insights are that you should be pulling out of that raw data? So typically, the most helping people, it's actually the carrier himself. So we connected to many carriers, to their clients, and we're always looking for new demands of data and always be able to receive insights.
Okay, this is interesting for us. Right now is a bushes and wildfire risk is more interesting for us or for example, storms.
And this is what we try to get. We provide the data, taking the claim information as well and see if there are correlation between the models and the claim data.
By this, we're able also to learn the insurance carrier, what is the ROI that you can get, and what is the insights and correlation between their own attributes and the claim information, like historical claim information, so we're able to compare it together and to see actual ROI. And after one year, they use it, so they say, okay, I'm able to reduce my risk in X amount by notifying the property owners, for example, with the most highest risk, or for example, by able to take the new sales, like the new quoting and offer a better price for the new clients.
so and huge amount of analytics how you can take this information and convert it to

the

portable area

and this is

I think

what the

insurance so and then huge amount of analytics how they how you can take this information and convert it to

uh to the portable area and this is i think what the insurance carrier focusing on uh so absolutely so first the the we're working very close with insurance carrier also we have a great advisor i was a chief analytics officer at chab and also in greenery so we bring huge amount of information the industry. And we also use people in the industry to give us insights of what is the needs.
And eventually, I think that the biggest insights is to work directly with insurance care and receive always feedback against the claim information and what is the profit they see after one year, two year, and et cetera. What's up, guys? Sorry to take you away from the episode,

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Yeah. So, um, philosophically, do you see, so part of the 200 billion to 520 to at some point in the future, a trillion in property losses just in the US, you know, and a decent portion of that is the social inflation of actual the judgments, right? We unfortunately, and I live in one of those states that seemingly believes money grows on trees and is putting judgments out into the world that are, in my opinion, are bananas.
Only people who don't actually spend money could actually create these judgments. But that's part of it.
Part of it is just actual inflation. Um, do you see to me, um, risk mitigation has, uh, can have an impact, but I, I, I worry that, that, that mitigation, there's only so much you can mitigate, right? Like if you, if you do all the right thing today, you do all the right things in the state of New York.
And one little one thing happens. You can still get absolutely obliterated with this ridiculous mega judgment.
So do you see, yes, mitigation. But is it also a lot about just more like proper pricing, being able to reduce premiums? Because, you know, I mean, everyone is listening to this because primarily we're retail insurance, independent insurance carriers, vendors, technologists, and agents is the audience of this podcast.
It's the independent side tends to listen to this show more. So, you know, I think most people are aware that oftentimes it was like, what's your zip code? What's the square footage of your house? Here's your price.
You know what I mean? Like that's how it was done. And what I see out of this and what excites me is to be able to say things like, okay, this house, you know, this house, 1800 square feet, this house, 1800 square feet, they get one could be, you know, could be one X premium and the other could be four X premium.
And it's because of the actual factors impacting them, even if they're on the same street, right? This one could be, you know, it could, the street could be tilted. There could be like you say, some sort of water near this one.
This one could be higher with no trees in a wind zone and could have more issues from, from hail damage or what have you. And it's like that type of pricing difference to me feels much more like to have as much or a larger impact than just mitigation, because now the carrier is going to be able to say, okay, we know a trillion in property losses is coming, but if we can price it properly, then everything will continue on as it should.
Does that philosophically sound accurate or what do you think? I think it's for both ways. Like first, like we know that all the independent insurance agencies, excuse me, like all the independent agencies that typically have them, eventually they need to focus on sale.
and every one of us know that every point of question it can say okay why are you asking my personal information for example many clients like this why are you asking my personal question I don't know if I can answer I don't know all the answer for example for many clients and etc cetera. And we're thinking that insurance agents, especially independent ones, when they need to give better offering to their clients, they have to focus only on sale.
So this is like what we always try to get to the point of insurance agents absolutely need to focus on sale., they don't need to ask questions. They need to be the most polite and be able to just focusing, okay, how I close this deal.
Not only how, not on like how I asking on his property information and how I feel this information and more focusing on how I close this call with done deal. So this is what the mindset that we want to create to insurance agents.
How I pick my phone, doing the phone call, only focusing on sales, and how I close in the same one phone call, how I close the entire deal. And this is what we want to convert the insurance agent from today to tomorrow.
And I think this is how we do it, by providing information. And as insurance carrier, when you provide this information, you're also able to understand eventually as an agent, okay, the policy will be very high because if you cut your brush, for example, I can update the carrier and get you better pricing, for example.
So they can take action to reduce the price to their clients eventually. So you can notify and by this, for example, if this client, for example, will go by himself to the carrier directly, he will receive very high price.
But if you, as an agent, already know this information and say, okay, you need to do X, Y, Z, and by this I can give you like four times less price. So most of the time he will do this action because no one like, like if it's something cost $1,000 and you receive discount or if it's commercial property or $5,000, $10,000, so it's much worth it for you.
So I think this is where we see that insurance agents, especially independent, can use this information to create the benefits and to create advantage over the market. Yeah.
It's funny. I did an interview with the CEO of Plymouth Rock Insurance.
This was a while ago, maybe four or five years ago. It may have even been longer.
And they were testing in the state of New York, a new homeowners insurance product. And what they were doing was taking third party data, such as what you're providing, mashing it together, and basically underwriting and pricing every home in the state of New York, whether they wrote it or not.
And then basically, what they waited for was one of their agents to come in, punch that address in, and then the price was basically waiting.

And it caused a bit of an uproar. People are like, oh, you got to talk to that.
How can you frontline underwrite? You have to talk to the homeowner and da-da-da. And basically, I think he's still the CEO of Plymouth Rock, Bill Martin, great guy, very smart.
And I love this this comment that he made which was basically um uh our position is that the accuracy of data of two or three well done data sources is going to give us a much clearer picture on what the risk profile of that structure is than anything the insured or the insurance agent could possibly tell us. Not necessarily because they're doing anything nefarious, although that does happen.
You know, anyone who's ever written a homeowner's policy has bent the truth at least a little to get something in. Right.
He's like, we believe that, you know, just human beings being human beings, not always remembering exactly, you know, like, you know, you talk to people, you say, how many square foot is your home? And they'd be like, I don't know. And, you know, and, you know, we're sitting here and going, that's nuts.
How do you know how many square, but why would someone think about that? Right. They just don't, you know, like, ah, it's 1500 square feet, but really it's 1900 square feet.
And, you know, so basically he said, you know, these third party data sources and the increasing accuracy of them. And if you can kind of cross pollinate a couple with each other and verify, use them to kind of verify data off each other, you get a much clearer picture and a much more accurate risk profile than you could ever get through just doing a simple survey with a homeowner and putting that in an application and then popping it into a portal.
And that to me felt right at the time. And to this day, still very much feels right.
Not that you shouldn't ask insurance questions, but gathering the pertinence and the risk profile specifically about property seems to me like something we should not be relying on humans for. It should be something that we're gathering through real data, through imagery, through, you know, property records that are cross, you know, cross-referenced with each other.
That feels much more like the future. And certainly, and not even the future, it feels much like what we should be doing today, than just relying on how someone remembers their home to be, you know.
Yeah, absolutely agree. And I think that if you're looking on, like, which agencies working, like, not one or two years, like, I interview, like, I had a huge amount of discussion with independent agencies and also dependent agencies.
And you see that the differences between, like, agents that working 10 years already, five years, make great business for themselves and actually created as a first job. You see that the difference, as they already told me, like we need to provide accurate information to the insurance so they will know that I'm the best agent in this area.
So I know what I'm insuring. And by this, I receive also discount and insurance carrier already know me.
So I create relationship with insurance carrier. And I think this is like when we try to understand how as agent, we can create our future more clearly and also create more profit.
I think one of the biggest, one of the biggest thing that we need to do, the action that we need to do is understand better our client. And I think this is one of the things that we see more and more of the insurance agent.
They, they're investigated. They, they know what they, they provide to the carrier and they're doing homework.
And eventually we want to create the entire homework in one second because we want from them to focus on the sales and to close this deal. And this is exactly what we are looking to have to the insurance agency.
So, yeah. So very tactically, who uses the platform? I mean, carrier is obvious, but do you have agents that are subscribing and using? And I guess, I guess explain the actual business to me and who your clients are.
I mean, obviously carriers make a lot of sense and you've referenced them multiple times, but like say an agency, like, like I own an independent agency. We work primarily with commercial customers and commercial property is a big part of our business.
So I'm looking at what you're doing. And when we, you know, scheduled time to talk and you're going to be on the podcast and I'm looking through, I'm going, this is really interesting because as a national digital commercial property broker, we don't see in person any of the buildings that we insure, right? So, so what we do is we pull up a Google map.
Well, that's just a flat image, which hopefully isn't blurry or terrible. And hope that it was done in the last five years, I guess.
And that's really the best that we can get. So is this something that we would subscribe to and get that information?

And do you guys have the ability to do things like calculate property value? Or am I just getting raw data and specs out of it?

Or, you know, what would I be getting as a client?

Let's leave the insurance side.

I think that makes a lot of sense what an insurance carrier would get.

But let's say someone who's in that sales function, can they be clients?

Is that a good client slash use case for you? And what are they actually getting if they were to subscribe? So today we're working very closely with three agencies across the United States. So it's very important for us eventually to open this entire market, like entire abilities to the agents because eventually, for example, even before the, like when you receive all this information to, and what is a process that is cutting your time and spending your time and actually giving you more information that you can extract by yourself.
And also, as we discussed about Google, for example, it's not recent enough and not accurate enough, etc. So typically, even before that, how do you decide where to pick your phone call? Like, you are very limited in time, you need to do the sales pitch, and who is the right person to call? So typically, by using our platform, we see that many insurance agents can be able to target their audience.
So for example, I know I'm working with the Hartford. I have minimum commitment as agencies to Hartford, for example.
Let's say, for example, half a million dollars. Okay, I have to write premium of half a million dollars.
I know that Hartford, for example, looking for very specific one type of commercial properties

or for example, looking for very specific one type of commercial properties or for example, home insurance. For example, only home insurance with only a policy with a pool, for example.
So I'm able to select and with great condition. And because I as an insurance agent, maybe I have another carrier that's looking only for the riskiest property of the industry.
So I am able to filter my, like my target audience by using the platform. So this is the first reaction that we see very, very heavily that insurance agent looking for the next opportunity, the best opportunity for them, the next and the best one.

And I think this is very important because eventually we are limited in time in our life and, you know, we need to be very focused to create big profit. And this is exactly what we hear.
And this is the first one. The second one is regarding to when you have customer on your phone call, you just need to looking for his address and you can cut the entire chain and try to sell as short as time as possible.
So you don't need to wait and say, OK, we'll call you in two weeks. And at the same time, he already closed with another agent, for example, or he already closed it.
So you can make the entire you can make the entire sell cycle in one phone call. And this is eventually what we are trying trying to work with the agencies and we want for them again we want for them to be able to focus only on the how i close my next call and not how i call to the next client i ask him the question i investigated receive the information and after this calling him back in two weeks and try to call and close the deal so this is a thing that they eventually were where we are trying to cut uh yeah yeah i like that i like that um you know one of the things that we're very big at at our agency is is instead of you know i try to i butchered this quote all the time and you know everyone listening will understand but like i try to i try to operate this business like the like the bruce lee quote of like, you know, be like to, I butchered this quote all the time and, you know, everyone listening will understand, but like, I try to, I try to operate this business, like the, like the Bruce Lee quote of like, you know, be like water, right? Like, wait, you know, I don't come into the business with an ideology.
I, I taught, I tend to, you know, find carriers that I really appreciate working with and people inside those carriers that like work with me. Then I say, what do you want to write? Send us out into the market to go find that thing.
And that, that tends how we operate Rogue Risk is we don't necessarily have, I don't bring niches to carriers. I find out what our carrier partners want to write and I go out to them.
And what I'm hearing you say is what your company is able to do is you're able to say, okay, if property is something you want to write, then you can actually go to your carriers, find out what types of properties fit their appetite the best, and then target those properties in either your community or region and what have you. And now you have a very clear picture that this is going to be a property that they're going to want.
Before you even do the reach out to the business owner or the property owner, you'll know before you make the call that you have the perfect market for it because you've already been able to set the parameters around it. That's an incredible competitive advantage.
And I think that thinking, you know, oftentimes agents, particularly independent agents, get stuck in kind of the way business has always been done. And these types of methodologies and advantages are what are separating, I think, the new wave of independent agent, especially those that are willing to adopt at least some level of technology and new ways of thinking.
This is why there's so many new types of agencies that are coming into the market and growing so fast is they're taking concepts like what you're describing and they're actually putting them into use i think it's tremendous exactly and eventually as a agencies you know you need to reach your target eventually you have commitment to many carriers and you want to be able to classify yourself and to take all this commitment eventually if you if you got to the end of the year

and you don't have your commitment,

or you're missing some of the carriers,

so they will not want to do the business with you next year.

So I think that by able to say,

okay, I have this type of carrier that I work with them,

as you said exactly, like what is the appetite for him?

What is the appetite for him?

What is the appetite for him?

Immediately to say, okay,

I want to target everywhere in the United States for me, for example. Or, for example, from New York to put a ticket to crossing the Massachusetts and even Maine.

I can search everywhere my new opportunities.

So it's not only related to one zip code or to one area.

I can call to any one of them because I know what they want. Yeah.
Yeah. This is very, that's amazing.
I think it's amazing. Isaac, this is, this has been a tremendous conversation.
I want to be respectful of your time in our audience. And, and I appreciate you sharing what you guys are doing.
And I think that companies like, like GeoX and you guys, you guys are creating opportunities for, you know, one of the things that's beautiful about the insurance industry is it's very much a choose your own adventure. And what you guys are doing is presenting information and opportunities for agents who, who, who love an aspect of the business commercial property or have a, who want to attack a portion of the business in this place.
I keep saying commercial property or residential property in a way that wasn't possible even five, seven years ago. And I think it's absolutely tremendous.
If people want to connect with you and or GOX, how do they do that? Where's the best place to get a hold of you, get a hold of the company, learn more? Where do you want to send them? Typically, you can find it on our website, like GeoX Analytics, and find it very, very easily. This is one way.
And also, you have connected information. So feel free to reach out.
And we will make sure that someone supports you and helps you to make your next uh the next deal and next uh next

us so it's absolutely amazing thank you so much man i appreciate your time i wish you nothing but

the best and thank you for coming on the show thank you very much awesome have a good one Yeah.

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