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Delivering certainty in catastrophe response

Aug 2025
Presented by Jason Bonner, Franco Chan, Andrew Moffitt
Aug 2025
Presented by Jason Bonner, Franco Chan, Andrew Moffitt

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Find out how ImpactResponse System empowers insurers to revolutionize the claims process.

When a hurricane, wildfire, or tornado hits, most carriers are still stuck in the same pattern: watching the news, refreshing radar, wrestling spreadsheets, and waiting for FNOL before they really know what’s going on in their book.
This Nearmap webinar shows a very different way to work. Led by Nearmap Insurance experts Franco Chan, Andy Moffitt, and Jason Bonner, the session walks through a structured catastrophe workflow for insurers: Identify → Predict → Quantify → Recover—powered by aerial ImpactResponse imagery and AI, not guesswork.
This on-demand session is highly relevant to P&C carriers and reinsurers, claims leaders & cat managers, underwriting, exposure management, analytics teams, and anyone focused on catastrophe response, property claims, or portfolio risk.

Why catastrophe response needs to change

  • Managing indemnity – It’s hard to accurately quantify severity and “pay what you owe” when you’re relying on delayed field reports and incomplete visuals.
  • Rising loss adjustment expenses – Material and labor costs are up, but traditional claims workflows still depend on slow site visits and manual triage.
  • Policyholder expectations – Customers now expect near-real-time communication, faster claim resolution, and clear proof behind decisions.
The webinar reveals how Nearmap combines:
  • Proactive aerial imagery capture covering ~90% of the U.S. population
  • ImpactResponse imagery captured within 24–72 hours after major events
  • AI-powered damage classification and detections (FEMA-inspired tiers)
  • A dedicated catastrophe analytics team of meteorologists and geospatial specialists
  • Roof & exterior measurements + itel material pricing to close the loop from imagery to estimates
Together, this creates a full-stack cat solution—from pre-event vulnerability scoring to post-event damage verification and faster claim settlement.

Who should watch this catastrophe response webinar?

This on-demand session is ideal for:
  • P&C carriers and reinsurers
  • Claims leaders & cat managers
  • Underwriting, exposure management, and analytics teams
  • Anyone focused on catastrophe response, property claims, or portfolio risk
If you’re responsible for hurricane, wildfire, or tornado response, or looking for a more proactive, data-driven approach to cat claims, this is for you. Watch the on-demand webinar to see how Nearmap ImpactResponse imagery and AI help insurers identify, predict, quantify, and recover faster after catastrophe events.

Transcript

SPEAKER 1
Welcome to this live webinar by Nearmap. The title of this webinar is delivering certainty in catastrophe response. We want to introduce this concept and and bring us all through this journey of identify, predict, quantify, and recover throughout the catastrophe event. So we have slides, and we have demo later to walk through this process. So some housekeeping notes. 
Your microphone and camera are off, but please use the q and a portal to ask questions, and we will address them later in this webinar. This webinar is being recorded, and we will send out link for the on demand recording. So as a quick introduction, my name is Franco Chan, product marketing manager for Nearmap Insurance. I’m the moderator for this webinar. And we have two guest speaker joining us today from our other department, Andy Moffitt from our geospatial content operation team and also Jason Bonner from our product management team. 
Andy, Jason, can you please introduce yourself, please? 
SPEAKER 2
Sure. Yeah. Hi, everyone. My name is Andy. I am on the, flight operations team and the cash analytics team, so I help plan and execute our standard capture program as well as identify and capture any of these ImpactResponse events across the country. 
SPEAKER 3
Hey, everybody. Good morning. I’m Jason Bonner, director of product for the insurance vertical, where I actually lead the insurance vertical focusing on making sure that the tools and and data that we provide help carriers improve underwriting claims and portfolio workflows. Also work closely with our customers, our engineering teams, and our go to market teams to make sure that whatever we build, whatever we introduce to the market solves real problems for for you, our our customers. 
SPEAKER 1
Awesome. So let’s see how we can we can solve this this challenging cat response. So as agenda for today, we’ll do a quick introduction for Nearmap, and then we’ll talk about some of the king claims challenges we see in the in the insurance space. And then Andy will will talk about our AIR imagery. So AIO imagery is our ground truth, our foundation for our solution. 
And then Jason Bonner will will lead us through the Nearmap ImpactResponse solution and also give us some demo. And then lastly, we have q and a to answer any questions. So as a quick introduction, Nearmap is the location intelligence provider customers rely on for consistent, reliable, high resolution imagery, insights, and answers. So we fly, capture, and process imagery, and then we apply artificial intelligence, mainly computer vision and machine learning to organize and analyze insights and then delivering delivering them, into a software. We our mission, our goal is really to bring certainty from FNOL to claim resolution. 
Now there are some challenges, that we see in in in the claim space, mainly the three things. The first one is difficulty in managing indemnity. So it’s really hard to quantify or to evaluate the the severity of damage and to pay out correctly, to pay exactly what insurers owe. And then it’s also expensive to adjust this, right, with the material cost increasing, your overall loss adjustment expenses increases as well. And then lastly, but last but not least, policyholder expectations. 
They’re requesting better speed, better service, better accuracy. So as a solution, Nearmap really wants to provide this cat risk cat management solution that’s delivered from imagery to insights to answers. And we strongly believe that high quality imagery is the foundation of even any cat management solution. And because we own this camera system, we fly and capture and process the imagery with the AI insights and the software. We really have the intelligence from the source so we can bring complete, consistent, and reliable set of solutions to insurance customers and then bringing speed and certainty to the teams as well. 
So we we pride ourselves in on being the provider of this full stack solution. And some vendors in this market may have a piece or two of these components, but no no vendor really has the full stack. Nearmap has also done some acquisitions in the insurance space in the past couple of years to bring more value to our customers. Like, the recent itel acquisition that we would touch on later. Jason, maybe can you tell us a little bit more why all these components come together is so important? 
SPEAKER 3
Yeah. Certainly. And for claims in particular, time and accuracy are are everything. And for Nearmap to own the full end to end pipeline, when and how we fly, where we fly, how we process that imagery, how our AI knows how to read from that imagery, and finally, how it’s delivered into our carriers’ workflows, we’re able to move faster, reduce a lot of that uncertainty, and ensure the insights that we’re surfacing are are actually fit for for purpose. And what it also means is we can quickly adapt when the landscape changes, whether it’s a a shift in customer needs, storm patterns, or regulatory pressure, including, you know, the the acquisition of itel, where we can really bring the full end to end picture of from FNOL through to estimates in really on under one umbrella. 
SPEAKER 1
Fantastic. Thank you. So let’s dive into the aerial imagery part, establishing the ground truth, and and we believe aerial imagery is the foundation. So so we introduce Andy from our geospatial content operations team. We’ll talk about how Nearmap plans and prioritize these postcard events, how we monitor them, and what the process looks like all the way to imagery publish. 
So, Andy, we there are two main imagery capture programs that we do at the regular one and the ImpactResponse program. Can you just talk us through about these two two separate programs and how they come together to provide values to our customers? 
SPEAKER 2
Definitely. So as as you mentioned earlier, kind of the footprint and and the main thing of every, you know, event is having that ground truth imagery, and that’s, like, the baseline. And the benefit to Nearmap and our proactive capture program is is that left image that you’re looking at, we’re capturing all of that, just proactively. So the areas in green that you’re seeing, we’re capturing three times per year. The lighter blue is two times per year, and everything else, is is one time a year. 
And so we’re capturing almost 90% of the population of The US just, in this proactive program. So we’re always having recent imagery. You’re not going to be dealing with imagery that is years old. And so we get this recent imagery that then you can use when there is an ImpactResponse or post-catastrophe event. We’re having this recent imagery that you can use to compare what you’re seeing in the damage, to what the, area was like just recently before the event took place. 
SPEAKER 1
Cool. And and what are some of the events that we capture, and and what factors determine which disaster we we buy? 
SPEAKER 2
Yeah. So we capture three main events, and it’s pretty clear when you look at the picture what those are. So on the West Coast, our main event is wildfires. And so we’ve dealt with numerous wildfires pretty much from the Rockies all the way to the West Coast. In the Central Plains, it’s tornadoes is the main event, and severe, you know, storms, strong winds, things like that. 
And then down towards the South and the East, it’s it’s really the hurricanes and the tropical system. So those are the three main events that, the Nearmap ImpactResponse program is capturing. And what determines if we capture an event or not is really the scale of the event. If there is a single property, that experiences some damage, that’s our imagery is not really going to add much value to that. But where we’re starting to see, more structures impacted, more properties damaged, communities impacted, that’s where having the imagery and being able to get the insights, quickly for a wide scale area is really beneficial. 
So we’ve captured over a 145 unique events, and that’s not just individual towns or surveys or anything. That is whole events, since 2014 in over 300,000 square kilometers of just ImpactResponse imagery, that we’ve captured. So it’s it’s definitely, some of these captures are very large, especially when you’re talking about hurricanes, but they do, vary quite quite greatly. 
SPEAKER 1
Awesome. And and we’re now in wildfire season and also hurricane season. It’s it’s it’s coming, being more active now this year. And let’s talk about our operations workflow. Andy, can you walk us through the process your team goes through to determine which areas we fly? 
And then and then even some just some factors that that go into that. 
SPEAKER 2
Right. So we have a whole catastrophe analytics team here at Nearmap. So a team of meteorologists, we’re constantly monitoring the weather because we don’t wanna just wait for an event to happen and then have to react to that event. So we stay ahead of everything that’s happening across the country, with weather forecasting, doing our own forecasting, looking at, official government sources, so, say, the National Hurricane Center, the Storm Prediction Center. So we’re monitoring these outlooks and these models, and we start kind of beginning that process once we see an event reach a threshold that looks like it’s going to cause some damage. 
During the actual event, say, if there’s a large tornado or a hurricane making landfall, the whole team is monitoring, the weather radar. We’re looking at satellites. Sometimes we’ll look at live cameras to try to get that ground truth of what’s actually happening in an area. And then once we start to see that, that’s when we go into the AOI creation. And so we start looking at where was the highest concentration of damage, where are the most properties, where is the most population that is going to be impacted by whatever system we’re looking at. 
And so we make an AOI, and then we hand that off to our flight operations group, and we start making maps, to get the aircraft in the air, capturing those areas, and then getting that data online. So the data is obviously very large. They’re very high resolution imagery. So that whole process then to get the data online, just so that then we can get it to the customer, we can start running through the other pipelines, as you mentioned, AI and all the other insights that we provide. So, it really is a thorough process, and it’s condensed quite greatly here. 
But, a lot goes into it from, both well before an event all the way until after an event happens. 
SPEAKER 1
Right. And and we’re talk talking about here. And and and I’m sure there are some questions in the audience about imagery versus satellite. So, Andy, what’s unique about Nearmap compared to satellite imagery? You we we talk about we own the camera, and maybe you can touch on that and also the resolution and maybe the cloud cover. 
How can we really just differentiate from from satellite imagery? 
SPEAKER 2
Yeah. So it’s definitely got benefits to satellite imagery because when you think about satellite way up there, in the sky, anything between the satellite and the ground is going to block you from seeing what the ground is. So if you have even high clouds, mid level clouds, anything like that, thick enough haze or smoke, you’re not going to be able to see anything on the ground. The benefit to having us as an aerial imagery provider and and in an aircraft is that we are able to be flexible. And with our camera system and the technology we have, we can fly at various altitudes. 
We can get beneath cloud layers. We can get beneath layers of smoke and haze. Or, if there are restricted air spaces, we can get above those. And so we can kind of work with what we’re given in terms of the event and in terms of the weather, and still be able to provide very resolution, higher resolution than satellite Mhmm. Imagery, that that our customers can can benefit from. 
SPEAKER 1
Awesome. And, yeah, you you touch on resolution and the theme of resolution. It’s it’s key here when you want actionable insights. So we’ll look over we’ll look at some some examples later, and and maybe we can we can talk for a real time workflow here. So what’s the workflow between capturing imagery and delivering to the customers? 
So the early fires that happened earlier this year could be a great example. Can you talk us through this this journey in January? 
SPEAKER 2
Yeah. So in January, the Los Angeles region is one of our areas that we capture three times per year. So we were capturing imagery, in the region in early January as we normally do. So we actually had pre event imagery of of where the, Palisades Fire burned January 1 and January 2. That fire started January 7, but it wasn’t, a fire that really came out of nowhere. 
Us as a detached analytics team, we knew the fire danger was incredibly high. We had seen the weather pattern, and so we were prepared to be monitoring for any fire that started. And so since we were kind of on top of those elements, we were able to get a plane in the air and capturing the first day that the fire started. Then the work was to get the imagery online to then get those further insights. So we were able to get the imagery online within a a day or so and then get those further insights within just a couple of hours. 
But you can see here just with the scale of the fire, the other benefit to us being able to monitor these events and capture them is that we’re able to adapt the footprint that we’re capturing. So you can see as the fire grew, we expanded our capture footprint. We’re able to target areas where the smoke is moving based off the winds. We would do multiple lifts per day just to try to get, any clear imagery because you might have a a smoke plume over one house, and then two hours later that moves, and we’re able to get a clear image of that house to then be able to provide to the customer. 
SPEAKER 1
Cool. So so we we we have a few sets of pre and post event imagery here for the LA fires. It it’s quite daunting to see, but it’s super valuable to have this imagery and insight to help insurers respond. So can you talk through what we are looking here? 
SPEAKER 2
Yeah. So what we’re looking at here is the kind of pre to the during to the after the event. So the imagery that was taken before the event here on January 2, again, just a couple of days before the fire started, and then the next image here is is during the fires. This is the first day. So, obviously, some structures haven’t even burned yet. 
Some are still on fire. And then as we’re continuing to capture, you can see January 9 structures that have already been destroyed. But then since it is part of our proactive program as well, you get that reoccurring imagery. You can see the rebuilding process and the clearing and the damage removal process. And so then on April 29, you can see just how many of those lots have already been cleared and and starting to say have, kind of that rebuilding process started. 
SPEAKER 1
Right. Yeah. This yeah. The imagery, it’s it’s super valuable as we as we can see the resolution and insurers can can start act on it. So let’s let’s go into our solution, how all this come together and and really helping us access and respond faster. 
So instead of a slow and reactive approach, our mission at Nearmap is to help you all, clean professionals, to respond to to cat events proactively, rapidly, and accurately so you can help your customers recover from tragedy faster and easier. Here’s our suite of solution. We talk about on the left side and the ImpactResponse imagery, which will be captured twenty four to seventy two hours after the event, and then we will apply AI. We have two different sets of AI, damage classifications, which is basically inspired by the FEMA five tier classifications. And then lastly, we have the ImpactResponse system that bring all these imagery and AI together into a system, to bring that workflow together. 
So we we mentioned this this identify, predict, qualify, recover journey. So a really quick overview. Like Andy said, we we constantly monitor this this the the events. So we identify the impact with the preloaded PIF from you and also the event boundaries. And then we use our predictive scores to predict the vulnerability so you can start predict the reserves and put aside reserves and engage with customers. 
And then when the events have landfall or when the damage start coming in, we we have the area imagery like Andy talked about, and then we apply AI to help you act and triage before FMOL. So that’s quantifying the damage. And then lastly, we help adjusters to adjust and settle claims efficiently with the damage detections, with the whole workflow so you can help your customers recover faster. So this is the whole journey, and let’s go into the demo. We have some demo videos to walk through the actual process of this identify, predict, quantify, and recover. 
So we so we’re looking at hurricane mutant. So one of the key differentiators in Nearmap, it’s really the ability to predict the impact and vulnerabilities before the damage even happens because we have the pre event imagery. So, Jason, using the hurricane mutant as an example, can you tell us before the event what we are what were we doing to get prepared? 
SPEAKER 3
Yeah. As Andy alluded to, not only do we have the team of meteorologists who are monitoring the weather patterns for these types of storms with tropical cyclones, as you know, you have a pretty good sense of as they start to form, usually in The Gulf or The Atlantic, are they actually gonna make landfall? The second that a storm looks like it might make landfall, we begin monitoring that storm. And we pull in geospatial boundaries in event versions that indicate against your monitored portfolio where you might have properties in that potentially impacted area. And further, and we’ll get into this here in in a little bit, which of your properties are actually vulnerable to this type of storm? 
And giving you the tools to evaluate well, at day one, your impacted portfolio might look like x. But as the storm starts to shift and move, it might encompass different areas. The severity might change a bit. Your actual impacted PIF might look completely different than on the first sets of versions. So we wanna be able to give you that that sense of how this storm is is changing over time, what properties in your in your book of business are actually vulnerable to that type of storm, and ultimately to help you prepare for the potential impacts of that storm. 
SPEAKER 1
Awesome. And as a reminder, if we’re going through a a demo here. And if you have any questions, please do put into the q and a portal, and and we can address them later. So but, Jason, we we heard from a lot of our customers. With with hurricane with things like hurricanes, a lot of the insurers or claims teams are really sitting in the office looking at looking at the news and manually using spreadsheet, putting together these these kind of routes and plans to to react. 
It’s it’s fairly inefficient. So can you can you talk us through how the Nearmap solution or the this ImpactResponse system can help insurers predict and pinpoint maybe the the hardest hit areas, and they can start resourcing doing the resourcing. 
SPEAKER 3
Yeah. There are a few different ways actually in the system that we can do this. Frank, if you hit play on the recording, I’ll just walk through a little bit of it. So what you’re seeing here in the demo recording, this is after the event has made landfall, before we’ve actually established where we’re gonna fly and have planes up in the air. We’re identifying where across your book of business you have properties in some of these impacted areas. 
They can include storm surge areas, wind speed areas, high wind speeds, just the central track of the storm, etcetera. And given that we’re identifying where across your PIF you have those individual locations, you can start to whittle down the set of properties based on where they actually exist in each of these event boundaries. So you might be really interested in finding properties within one of these storm surge areas. Maybe you have a a large cluster. As you can see on the map, there are counts of of properties in in various areas. 
You might identify one of the particular clusters as one of interest, and you’d ultimately click on that. And that’ll filter the set of properties down to just those properties that are within that boundary. Now you have a much more constrained list that you can then action on. So in this case, two to four foot peak surge. I’ve got 14 properties in here. 
There are a couple properties, as you can tell, that are right on the water. Maybe this is an example of a property that you can contact your insured. Ask them if they need any support because they’re likely in the track, and this property might actually experience some significant storm surge. 
SPEAKER 1
Right. So so looking at the exposure and and even communicating with the policyholders, that’s that’s amazing. So and then and then we we we also talk about the the the predictive the predictive part as well. So after identifying the track, after knowing the potential impact, the predicting part, can you talk about the predictive scores that we have? 
SPEAKER 3
Yeah. Another thing that Andy alluded to, our flight capture program our our programmatic capture gives us, in most cases, access to pre event imagery. And off of that pre event imagery, we are running our artificial intelligence. We’re collecting all this insight about each of those distinct properties, what they looked like before an event. That gives us a good sense of how resilient those individual structures are to types of specific types of cat events, whether it be hurricane, wildfire, strong winds, or even even hail type events. 
You know, we we know that the risk equation is really a combination of the likelihood of a structure being impacted by a particular peril times the the resiliency or the vulnerability to that same type of peril. In cat events like this, as we’re monitoring for these storms, we have a fairly reasonable indication that these properties will experience some level of wind speed or or hurricane force winds or, you know, or other wind events, etcetera. And we give you the tools to identify where in your book you have those the same properties and just how vulnerable those properties are to this exact type of peril. So not only are you evaluating where you might have impacts, but you’re also getting ahead of which properties are likely to sustain damage as a way of estimating just how how much exposure you might have. 
SPEAKER 1
Right. And and we from from what we heard from our customers, we already have insurance customers that are using this and actively reacting to these events. Right? And and one thing that you mentioned, it’s it’s very amazing, which is they can use this data to start talking to their policyholders and sending them text messages or even email or call to alert them of their vulnerabilities and helping them get prepared. And and that’s that’s something that that’s really, really amazing that we can do to to actually protect the policyholders. 
So so we we have the third piece, the quantifying piece. Right? So after landfall, like Andy mentioned earlier, we we start to capture that post event imagery, and then we apply the AI. We have the the FEMA inspired five two classifications AI and also detect detections AI. So, Jason, can you show us some examples here of how Numap help insurers verify the damage even before FNOL comes in? 
SPEAKER 3
Yeah. We so we’ve decided what we’re gonna fly, and we established those those flight plans. What we’re doing, actually, in this case, we’re identifying about almost 17,000 properties across your PIF that might have been impacted. Just toggled on where we are actually flying. And as I start peeling away some of these other layers, you’ll see that across these 16 almost 17,000 properties, I’ve got 12,000 that will be covered by our post event imagery. 
As soon as we have imagery available, we run our AI, our post event AI on that imagery. And based on that post event AI, we’re classifying how much damage actually occurred across the set of properties in this particular area. So here, I’m showing well, we’ve got four properties destroyed, 90 something major on down the list. So all of sudden, what you’re doing what you’re able to do is take this large quantity of properties, 12,000, and whittle them down to the ones that had actually sustained damage. Here’s an example of, unfortunately, a property that had been destroyed in this event. 
You can see the on the left, pre event imagery, actually, from only a few months prior to, and then on the right, after event imagery where the structure was was unfortunately destroyed at on this for this particular event. Here’s another example. Left structure ahead of time, and the right structure unfortunately destroyed. Another couple of examples on how our major damage works. So the filter down to our major damage category, about a 100 properties. 
Here’s the distributions. You can actually see where on the map you have these clusters or concentrations of properties, which can also help send out or or to kind of triage where you wanna send any of your your your field adjusters. But just to highlight some of the types of things that that we’re seeing in our post event imagery as as major damage. What we’re also representing is the confidence that we have in our classifications. You know, there’s certainly the the trust but verify angle where we want you to be able to see individual damage classifications and and then trust that that that actually exists. 
Now this particular example is actually a bit of a unique one. Now let’s say after the event, you get a call from one of your insureds or maybe this is a particular property where you think my my insured actually might have might have left his home and have actually evacuated prior to the event. Well, if you get a call from from that insured asking, well, is my property okay? You can actually search for an individual policy and evaluate whether or not their property is still standing just by entering a a policy number into the system. So all different ways of of supporting, not just the work that the standard workflows that you might have, but also supporting cost your your customers in in their time of need. 
SPEAKER 1
Awesome. And then that speed and and certainty that we talked about in in in earlier, it’s it’s key here. Right? The the whole system, the whole solution, its mission, it’s it’s to bring speed and certainty to to our customers. Okay. 
Yeah. Alright. So it’s it’s it’s kind of a a quick recap. So, really, the whole solution when we combine the imagery, when we combine the AI and then the software together, now we’re helping insurance customers, especially the claims teams, to optimize their cat resources and adjust their location. You can start triaging, before, during, and after the event, and that is helping reducing the time and and even the cost of of resourcing. 
And then on the on the communication side, you can proactively alert agents, adjusters, and insurers throughout the whole event, really optimizing that that customer satisfaction. And then with with that as well, you can start the claims process even before the FNOL. Like Jason mentioned earlier, you don’t have to wait for your customers to to call you. You can actually start the claims process when you see the post event imagery and the damage, and you can kick start the process right away and significantly shorten the time to resolve that that claims. And lastly, we using this whole solution, we can more accurately predict the portfolio losses. 
Now we have all your properties, whether it’s impacted, not impacted, whether it’s damaged or not damaged. Now you can have one place to to better predict that that losses overall. But the but but the recovery process doesn’t really stop here. You know, we we talk about the responding. This is just knowing where to focus on. 
Right? But then there’s a lot of steps after that. So we recently announced a new product, roof measurements and exterior measurements. Jason, can you can you talk about how this roof measurements and exterior measurements can help the claims teams? 
SPEAKER 3
Yeah. When you we when you do receive that first notice of loss or even as you’re getting ahead of first notice of loss, given that we, at Nearmap, have this robust catalog of pre event imagery, we with our new product, our roof and exterior measurements products, we’re enabling you to now identify which properties might have been damaged, which ultimately, which properties should I request my my exterior measurements from so that I can actually collect my esthematics, probably even before you’ll get a a field adjuster out into that property, which ultimately would enable more accurate claims payouts, optimized adjuster, and and inspector efficiency. And we ultimately, with this product, we wanna be able to shorten the the claim settlement time, helping customers to to recover faster. So quite a few things, but, ultimately, the workflow would be there’s an event that happens. You notice the properties are damaged. 
You’re either getting first notice of loss from your customers, or you’re observing them directly in the platform, maybe some combination. And then through your your your various platform exact analysis or exact event, you’ll be able to tag those individual claims with requests out to our measurements tooling to collect those the those actual measurements directly that that’ll be posted directly back into Xactimate for you. 
SPEAKER 1
Cool. And and after knowing that this detail, the measurements and and and I think the the the measurements, it’s it’s important too because now it it actually comes from the same source. You know, Nearmap owns this imagery. So so the before event imagery and then the after event imagery, and then now even with the the roof measurements and exterior measurements, they all come from the same source of of imagery. So that brings that certainty and and reliability that we talked about in the beginning. 
And and after knowing this this detailed measurements, the next step of this recovery process is to know the pricing of the replacement materials, the the asthmatics. Most of you in the claims world probably have already heard about this. So Nearmap recently acquired itel, a data and technology company that provides a certainty source of certainty to their property insurance claims industry. So, Jason, can you can you talk a little bit more about this, the value that this acquisition brings? 
SPEAKER 3
Yeah. Nearmap and itel are really joining forces to strengthen our position as the source of truth for for claims for underwriting. You know, itel is a leader in evaluating the kind of estimate on price for individual materials, not just roof, but siding and flooring and all the other things that might be associated with the claim. And, obviously, with Nearmap being able to evaluate whether or not there’s damage after these events, really bringing those two companies together enables lower loss adjustment expense and faster claims workflows, more accurate claims payouts, stronger claim defensibility, and and, ultimately, we wanna be able to provide help you provide better customer experience through this entire end to end journey. 
SPEAKER 1
Awesome. And and we will have more materials coming, you know, about about this the benefits of both companies together. And and also with the roof measurements and exterior measurements, we are also planning a webinar cohosted with Verisk in September. So please stay tuned on that. We’ll talk about just the detail about this integration into Verisk, and, also, we will all talk about the the benefits that this all bring to the claims process. 
So this this come to the q and a session. So please put in any questions that you have in the q and a portal. We have some some questions that that we can go first. So how can I get access to the imagery and and system? So I can I can touch on that a little bit, and then maybe, Jason, you can add on that? 
So so this whole solution, it’s a a subscription model. So it’s it’s really an annual subscription. So we don’t want to do it as a one time because we know these events come ad hoc. It we there’s no other than the hurricanes, there’s really no good way to predict these wildfires or even even tornadoes. So so we don’t want to put for our customers to wait until things happen and start scrambling together and and rushing the process. 
So our recommendation really is to come talk to us even today. Come reach out to us and and really start the process. We will as we mentioned before, we will help you load your PIF to our system. We will start monitoring. So when events actually come, we can start the process right away. 
So there is an urgency there, and we we all don’t want to wait until the last minute to, you know, sign up. And and, of course, you get you get a a cost benefit there too. When you when you subscribe earlier, it’s it’s much better than than you you do it on this last minute emergency event. Any anything to add there, Jason? 
SPEAKER 3
Yeah. Hurricane season, as you know, is in full force. There are already there are have already been three named storms, maybe more on the horizon, Andy. I can see you smiling, nodding. The the sooner the your portfolio is actually ingested and being monitored in the system, the sooner you’ll be able to extract the value of a a platform like this when those storms do hit. 
We we know that it could be next week. It could be a month from now. But as soon as the the storms brew and and continue to track towards landfall, we wanna be able to help you and ultimately help your insureds get that level of insight on what exactly the impact might end up being for that event prior to the event actually happening. 
SPEAKER 1
Alright. You can touch on the the the future of this this season. So, Andy, as our in house meteorologist, what what is the coming upcoming hurricane season gonna look like? 
SPEAKER 2
Yeah. So it’s definitely looking active. The good news is it it’s probably not going to be the hyperactives that we saw a year or so ago, but it does look like we’ll see, you know, average to on the leaning side of above average in terms of, like, number of named storms. But it’s always hard to analyze that because you can have a lot of storms that get named. But if they sit out in the Atlantic, no one’s gonna remember the hurricane season, really. 
So, it all comes down to, you know, if they make landfall, how strong they are, where they make landfall. So it does, though, look like, it’s going to be another active year with a lot of, you know, potential targets to watch, and things to forecast. And and as Jason said, like, things are already on the horizon. There’s some some things in the tropics that are brewing. So in the next couple of weeks here, we might even have, a storm to keep close eye on. 
So, we’re definitely getting into the the heat of hurricane season, and it’s gonna continue now for for a little while, unfortunately. 
SPEAKER 1
Yeah. And then that goes back to the point of preparing earlier. Right? So so as we know, it’s it’s gonna be above average season. So our goal is really to help insurers get get prepared. 
So please come talk to us if if this solution is of interest, and and we will we will help you prepare up front rather than rather than last minute. So we’ve since that we have a couple more questions here, and and please keep your questions coming in the in the q and a session, we’ll we’ll try to answer them. Jason, we have a question here about security. So what measures do we have in in place to protect that that security or the privacy breaches when when the insurers update upload their data? 
SPEAKER 3
Yeah. There there are actually a couple different ways to to take this one. The first would be the platform in and of itself is SOC SOC two compliant. We can certainly share more information about the processes that we’ve had to go through on on getting our SOC two compliance. The platform in and of itself requires very little about policyholder information. 
All it really requires is an address. If you wanted to include things like a policy number, you’d be able to for purposes similar to the demo of being able to search for an individual policy and and then bring up the that information. You can export directly from the platform to, you know, ultimately navigate the lists of addresses, lists of policies that may be impacted in those events. But the platform in and of itself doesn’t require really any PII in in that sense. So not only are we SOC two compliant, but they’re really limited piece of information that would be subject to any security concerns. 
SPEAKER 1
Cool. So we did this solution really covers not just hurricane, but wildfire and and tornado events. Andy, this one’s for you. What was the the hardest event that that your team has ever experienced? This is an interesting one. 
SPEAKER 2
Yeah. I think, like, the hardest overall would probably be hurricane Helene. You could combo that with hurricane Milton because it happened right after hurricane Helene. But just from a a footprint standpoint and a logistics standpoint, Helene, you know, impacted, obviously, like, Big Bend Of Florida. It did a lot of damage there. 
So we had a 
SPEAKER 1
lot of 
SPEAKER 2
resources initially capturing that area where it made landfall. You’re getting the wind and the storm surge damage. But then it continued, and it it kinda sat over North Carolina and and dumped torrential rainfall. And so capturing then that footprint, dealing with the mountainous terrain up there and and the clouds, obviously, because there’s areas up there where the clouds never really clear. And so the the amount of footprint required and just the the detail with each of the little river systems and the terrain presented a lot of challenges that we haven’t faced really with hurricanes before. 
So that was by far the most, I would say, and and challenging event that we’ve we’ve dealt with. 
SPEAKER 1
Cool. Sounds good to good to know. So so looks like this this that’s was the last question. So this comes to an end to our webinar. We do have a post event survey. 
So please indicate your your interest in getting a personalized demo there or even put in any notes that if you have any other questions, please do it there as well. As we close here, again, thank you so much for attending this webinar. Thank you, Andy, and thank you, Jason, for talking through this process with us today. And please reach out to us. If you have any questions, please visit: www.nearmap.com/products/impactresponse to learn more detail about about ImpactResponse program. 
And and, again, next month, we will have a webinar to talk about the roof measurements and exterior measurements. So, hopefully, this webinar is insightful and and valuable, and we’ll we’ll we’ll welcome you later. Thank you so much. 
SPEAKER 3
Thanks, everybody. Have a great rest of your day.