All right, thank you everyone for coming in today. Our next presenting company is SoundThinking, formerly known as ShotSpotter, which is traded on the NASDAQ under the ticker symbol SSTI. SoundThinking is a leading public safety technology company that delivers AI and data-driven solutions for law enforcement, civic leadership, and security professionals. Here to tell you more about the company is SoundThinking CEO Ralph Clark and CFO Alan Stewart. Hand over to you guys. Great, thank you very much. Appreciate it. Good morning, everyone. My name is Ralph Clark. I'm the President and CEO of SoundThinking, Inc. What I want to walk you through today is a little bit about our business, our growth strategy, and how we're building for shareholder value over the long term. As always, I'll just remind you that you'll be hearing some forward-looking statements. We'd really encourage you to visit our SEC filed documents where you can get a more fulsome and robust review of risk factors. We're really excited about this business that we have in SoundThinking. We have a very unique platform and it's targeted toward law enforcement agencies that we're all understanding are under an extreme amount of pressure. They have gun violence issues and violent crime issues that they're dealing with. They're understaffed from a resource point of view. There's also the issue of communities that are increasing their demands on these law enforcement agencies that are small, medium, and large, rural as well as urban. We're building a SafetySmart platform with a unique set of applications that can address those compelling needs to help make those law enforcement agencies become much more productive in delivering or co-delivering public safety outcomes for the communities that they're meant to serve. These solutions range across our SafetySmart platform, which is an integrated platform that starts with our acoustic gunshot detection technology. What makes the platform extremely unique is that we're dealing with the full use case or use cases of solutions or requirements that agencies have from acoustic gunshot detection through our ShotSpotter solution. We have a ResourceRouter solution, which is for patrol management to help for the much more efficient deployment of patrol resources. We have PlateRanger, which is an automatic license plate reader technology that we've gone to market with this year. We have an integrated case management solution known as CaseBuilder to basically help for increased case closure rates and CrimeTracer, which is our analysis and investigative front-end tool called CrimeTracer that has a unique set of databases that can be accessed very easily by law enforcement personnel to help accelerate cases. Our last acquisition is a technology called SafePointe, which is a weapons detection technology that helps identify the presence of weapons that's focused more on the commercial side of the business, commercial security side of the business. There's a huge TAM opportunity, and we start from a very privileged place with our ShotSpotter solution that is basically a category that we've invented and we continue to dominate. We've been pretty intentional around expanding our capabilities beyond ShotSpotter, which originally when we went public was about 100% of our revenues, is now 65% of our revenues. We think over the medium term that ShotSpotter, while still continuing to grow, will become 35% of the revenue because we're adding additional capabilities to diversify the revenue streams, moving from investigative search and case management, patrol management, which we spoke about earlier, adding on license plate reader technology. There's a very, very large opportunity with respect to concealed weapons detection. I'm going to walk you through each of these solutions one by one to give you a flavor of what they do. First, a quick snapshot of what SoundThinking is today at a glance. Last year, we delivered $102 million of revenue with 14% adjusted EBITDA. This year, we're valued to $111 million- $113 million of revenue with 20% - 22% of adjusted EBITDA. One of the things that we're really proud of as a company is our extremely high world-class retention rate, both on a net revenue retention rate as well as a gross retention rate. A lot of that's driven by our world-class NPS score. We really lean in with developing trusted relationships with our customers. Although the sales cycles can tend to be longer, say 12 - 18 months, once we're in with an agency, we're in with that agency for an extraordinarily long time. When you combine that with a customer acquisition cost of $0.63 to create a dollar's worth of ACV, you have a really compelling set of unit economics where you have very low customer acquisition cost, very high LTV because of the high retention rate, which economically works out extraordinarily well. We have a really strong patent portfolio of over 34 issued patents. More importantly than that, we have a lot of experience in delivering these solutions to law enforcement agencies across the globe. It really developed some trusted relationships with those agencies that allow us to look into some of these tangential solution areas. Our growth strategy, like you'll probably see a lot of charts like this with the growth strategy, is pretty straightforward but extremely powerful. It starts with obviously acquiring new customers, upselling them, cross-selling them our additional solutions. We make an investment in innovating products to be able to add new revenue streams from reimagining existing products. I'm going to talk about why in a little bit, about what we're doing at ShotSpotter to reimagine ShotSpotter in a slightly different use case, going at a slightly different market that allows us to grow. International expansion is a very big deal for us. A lot of that has to do with the fact that we have such pricing leverage internationally where we charge 3x-4x what we charge domestically. We've made some recent progress internationally that we're pretty excited about with ShotSpotter in Latin America with Uruguay and Brazil recently. Brazil represents a huge opportunity for us from an acoustic gunshot detection system point of view because it has a number of cities and its character of gun violence, sadly, is very similar to what we experience here in the U.S. We have a combination, I would say, of interim innovation as well as kind of external tuck-in acquisitions to basically grow the business. We're going to be open to extending the platform even further. Right now, we think we're in a fairly good position with what we got on our plate with the Safety Smart platform. Just given the nature of the seat that we have at the table with law enforcement leadership, if we see additional opportunities where we can add value, we're going to certainly be open to doing additional strategic tuck-in over the life of the company. Just going back to the world-class retention, it's not enough to acquire customers if they're leaking out through the bottom through attrition. Our view is that when you get that customer, you want to get that customer for life. You add all that stuff together. We have a very strong growth strategy with a number of different growth levers that can help us, we believe, continue to grow in a very, very large TAM market opportunity. Let's talk about gunshot detection for those of you that might not be familiar. The inspiration of this technology comes from our founder, Dr. Bob Showen, who's a brilliant mathematician and physicist. He has been known to develop software and tools to help various organizations figure out the epicenter of earthquakes, the epicenter of Soviet Union missile testing in the wild. He had a very clever idea that he could reimagine this technology that he had developed to figure out the epicenter or location of gunfire on a real-time basis and make it available to law enforcement. It's really important, and I'm going to talk about how we do what we do and what it is, but I think it's important to talk a little bit about the why because it's very important. The reason this technology is so critically important to over 170 cities here in the U.S. is, believe it or not, 80%- 90% of outdoor criminal gunfire goes unreported by traditional 911, which means that guns are criminally fired, no one calls 911, and there's no police response. This technology is a game changer in terms of making immediate, real-time, precise alerts available to law enforcement agencies to allow them to dispatch first responders and police officers to the scene of criminal gunfire in a very quick time. We get a lot of credit appropriately for helping improve the response times of law enforcement agencies dealing with this critical issue in too many of our communities. As a result of them being able to get there so quickly, so precisely, we're talking about saving two to three to four minutes sometimes, even if they do get a phone call. That can make the difference between someone living or someone dying. They're there to collect physical forensic evidence. Oftentimes, they're getting there to find the folks involved with the shootings, or they're able to take crime guns off the street, which is also very important. Probably the most important thing they do is they show the community that they care by showing up. How the technology works is we'll deploy sensors across what we call a sparse array of sensors. For us, that typically means 20 - 30 sensors or so per square mile. These sensors are designed to listen to and understand impulsive noises. When they detect an impulsive noise, they timestamp it. When three or more sensors have a timestamp because of their relative locations, we're going to get different timestamps. We're able to use those relative timestamps and the location of those sensors to be able to pinpoint or triangulate the exact location of that pop, boom, or bang. We go through a couple of steps to filter out pops, booms, and bangs that aren't gunshots, and then just deliver those alerts to law enforcement agencies that are confirmed gunshots because it's gone through a machine classification process as well as a human augmentation process that we stand up in what we call our Incident Review Center that we operate on a 24 / 7, 365 basis. The result is completely vetted alerts that have a very low false positive rate. We don't miss a lot of gunshots. That's why we're the category leader with respect to acoustic gunshot detection. We're not looking back at all. This is the market that we pretty much own and dominate. This is just to give you a picture of what an alert looks like showing up to a responding law enforcement agency. On the static here, you'll see that seven. You see the halo thing there. That's our location precision. That seven represents seven rounds. You can see here that the officer can actually click on that button and basically hear the audio snippet that we're providing. As you see, we provide a very precise location. Here it resolves to an address, but beneath that address of 1053 Meryl Street, there's a very precise lat and long, which is again represented by that halo there. This is truly a game changer versus 80%- 90% of the time not getting the 911 call. In those 10%- 20% of the time you get a 911 call, it's two to three minutes after the shot has been fired. People often always don't have a direction on which to send an officer. They can say, "I heard gunshots, but I'm not exactly sure of where. What's the error rate for like a firecracker versus a gunshot? Yeah, we have an SLA stand. Thank you very much for asking that question. Our SLA, our service level rating, is 90%. We're operating at 97% effectiveness. That includes not only false positives, which are, you know, we alert on things that aren't gunshots, it also includes false negatives. We didn't alert on gunshots. It also includes location accuracy and also speed. I should have mentioned that we're pushing these alerts out typically 30 seconds- 45 seconds from the trigger pull to the alert showing up. That's 97% accurate? 97% accurate. That's been independently audited as well. Yeah. I mean, I'm going to say it's, and this is why we're so comfortable in our competitive position. Trust me, it didn't start out that way in 2007, when the customers were operated. We just have built a lot of experience. The technology has gotten better. Our database of gunshots and non-gunshots that we can use, machine, we can run machine learning algorithms against continues to grow and expand. It's a very unique asset for the company. Just that constant feedback of working with local agencies allows us to get better and better and better. Did I say 80% SLA? I hope I said 90%. Yeah, 90%. We started at 90. This is an interesting story. We actually started out, when we started our SLA, we started at 80%. We challenged ourselves to get to 90% because we knew we could. That has to do with a lot of experience and being able to look at an acoustic environment and understand how Boston is different than Chicago. Chicago is different than New York. East Palo Alto is different than Oakland. San Francisco is its own incredible beast because of the hills. There's a lot of edge case stuff that you only get to do because you've been in business like 20 + years the way we have. Did that answer your question? Okay, great. All right, let's talk about resource management. This is an AI-based patrol management solution. Probably the easiest way to think about this is all kinds of ways for patrol. When patrol officers aren't directly responding to a 911 call, they have time on their hands. One of the things that we want to do through this type of solution is we want to reduce or mitigate intentional or unintentional biases for officers kind of getting in the habit of doing the same thing over and over and over again based on what their eyes can see. What this technology allows us to do is ingest a whole bunch of data, 911 data, 311 data, RMS data, traffic data, temperature, et cetera, and basically develop an intelligent routing system that can direct patrol officers to occupy a specific space at a specific point in time with very specific non-intervention things to do to be able to show presence. There's an interesting criminologist theory called the Koper Curve Theory that says if you can put a pop in the right place at the right time, even for 20 minutes, it has a halo effect of being effective for like almost four hours in order to prevent crime. That's what the resource for our patrol management solution does. CaseBuilder is our integrated case management solution that was born out of NYPD, obviously a very sophisticated professional law enforcement agency. You can think about CaseBuilder as being a CRM application for detectives and investigators. It allows detectives and investigators to collaborate. It makes them much more accountable. The result is you're seeing improved closure rates because now they have a technology innovation that basically aggregates all of their case management information through one place. I'm going to pick things up a little bit here. Down to the slide. Let's talk about CrimeTracer. CrimeTracer is our search and analytics tool. This technology platform has over 1 billion behind-the-firewall CJIS records. A CJIS record is basically a police department record that a public person can't access. You have to be CJIS- certified in order to be able to access it. This is data that's aggregated across more than 250 law enforcement agencies. Very unique data set. We haven't even scratched the surface around applying generative AI capability to this. This is like a version 1.0 product today in terms of the investigators who typically tend to be a little bit more desktop-oriented and a little bit more sophisticated in terms of developing SQL queries in the live. A huge unlock for us is going to be applying generative AI capabilities, a brand new user interface, and it's much more available to the larger unwashed masses of police departments that really could benefit from having fingertip access to this data without having to know SQL queries. This is a pretty exciting opportunity for us, and it's a business that's grown pretty nicely. SafePointe, that's our weapons detection technology. You can think of it as being a very sophisticated metal detector, but it's completely frictionless in the way we do it. Any of you familiar with going through a metal detector, I would assume any of you go through Evolv. You're wondering. Evolv is very sophisticated, but at the end of the day, it's a metal detector that has some AI associated with it. You still have to go through a checkpoint, and you know you're going through a checkpoint. It tends to kind of slow down traffic. With this, you'll see these bullets here. The way it operates is it operates on the physics principle of all magnetic moment, where we're using completely passive sensors, which is really important. They're again spread out a little bit, almost the way our ShotSpotter system is. When a metal object comes through and we're able to combine the speed and direction that we're capturing from the 3D camera, we're able to fuse all that data together and be able to pick up the unique signatures that a weapon has versus, say, keys or a laptop and the like, without stopping anyone or having them go through a checkpoint. For certain applications, this is a game changer. Our focus is on hospitals and casinos. That's probably pretty obvious. Casinos probably don't want to have people go through a metal detector because they don't want to slow people down from getting into the casino and leaving some money with them. The same thing with hospitals. They don't want to criminalize their patients. Really important, big opportunity for us here. We think this market can grow pretty quickly. I'll talk a little about LPR. That's pretty basic. I imagine everybody understands what LPR is. LPR is LPR is LPR. We have a really good LPR system that we're reselling the Rekor solution. We're going to be fusing it with other elements that makes it very differentiated, I would say, from what other folks are being able to do by combining it with CrimeTracer and ShotSpotter and the like. That just gives you a couple there. Hopefully, I've given you some time, Alan, to go through the financials. I've got a minute. Okay, sorry. No, this is super important for you to understand because Ralph covers all the things that we're talking about in terms of going public with one software solution. Now we have six, basically six of them. Just thinking, I'm going to go to several, just a couple of slides, just to let you know, we're about 95% of our revenue is SaaS-based or managed services. There's only about 5% that's professional services. I'm going to go to just a couple of these slides. This is probably the most important one. If you are an investor that is looking at us on a quarterly basis, it's fairly lumpy. It can go up one quarter, it can go down one quarter, it can go up. Overall, what we're doing is continuing to grow. That Safety Smart platform that we have continues to add revenue. At 26, we're not giving guidance right now, but it's going to be a lot higher than that. That's something that's really important for people to understand. If you are a short-term investor and you're looking quarter to quarter, you have to understand that the lumpiness makes things change a little bit. I don't need to talk too much about this. What I will say is right now, if you were to look or listen to our earnings call for Q2, what we have in cost or in actual cost of goods sold in Q2 is going to be pretty much flat or down in Q3, flat or down in Q4, while revenue continues to go up. What does that mean? Gross margin goes up. Our OpEx in Q2 is going to be flat in Q3 and relatively flat in Q4. What does that mean? As gross margin goes up, adjusted EBITDA goes up. That's how we get closer to the guidance that we've given. It's something that's really important for us because you're going to see a slide of where we're heading ultimately. I'm not going to focus too much on these. We have a very high net revenue retention rate. Ralph talked about this in terms of a very low cost sales and marketing cost per dollar of new annualized contract value. Most SaaS companies are closer to $1, $1.25, even more than that. We're only $0.63. That's because we're incredibly effective in what we're doing right now. Where I want to head, and I'm going to go back real quick, go to our long-term model. You can take a look at where we are [as in 2025], but our long-term model is about 15% top line revenue growth. A lot of that is going to come from the SafePointe weapons detection solution that we're doing with casinos and hospitals. Ultimately, four or five years from now, instead of like maybe $3 million this year, that might be $40 million a year or even higher than that because of the growth and the huge TAM that we're going after. We're going to continue to improve our gross margin. We believe we can get to 70%. The most important one for most people, though, is that adjusted EBITDA of about 40% or even higher than that. Even more important than that, though, what we have for adjusted EBITDA last year was only 14%. We generated $16 million of free cash flow. Almost all of that adjusted EBITDA was in the free cash flow. When you think about us as a company, we've done four acquisitions over the last six years. We repurchased about $25 million of our shares, and we basically have no debt. That's going to generate a lot of cash for what we do. I will say that it is something right now. We're not looking to do other acquisitions right now, but it is something that's a possibility for us. Just back here, how are we going to get to some of those higher numbers? In terms of getting a gross margin improvement, we have cost of goods sold. As I said, it's going to be flat for Q3 and Q4. Basically, our Incident Review Center, we don't need to add a lot of new people there as our gunshot detection solution goes up. As we go from 100 miles to maybe another 100 miles, we don't need to double the people that are in the IRC. The ARC is for SafePointe. That's the Analyst Review Center. Because of the AI algorithms that we're integrating right now that we've moved into our models, we're actually reducing the number of people in our ARC. That reduces the cost of goods sold, increasing the gross margin. International sales, Ralph mentioned three to four times as much. Instead of charging like $70,000 for a square mile for ShotSpotter, it might be $200,000 a mile internationally. That doesn't cost us significantly more. Most of that flows to gross margin. Most of that flows down to the bottom line. The other thing is we have already invested a lot in our OpEx to basically keep it relatively flat in the next couple of years as our revenue goes up. We added a lot of sales and marketing to the last three years and two years ago. R&D, a lot on the AI side. We've been doing that last year, this year. That might continue a little bit. G&A, we haven't really had a significant amount of increase there. The bottom line is our OpEx in terms of total cost are going to be growing less than our total revenue, which allows us to get to those and do the higher adjusted EBITDA. I think at that point, we've got a couple of minutes left for Q&A. If we've got some questions, we're willing to address those. Could you talk about customers taking one product and then more than one product? How many, what's your penetration and what any goals for that? Yeah, it's a great question. In terms of multiple products for a customer or bundling, things like that, we've got about, I would say, 30 customers that have more than one of our solutions. The normal ones that we sell to the municipalities, we've got probably four or five that have three of them. We've got two of them that have all four. Those four are the ShotSpotter, the ResourceRouter, the CrimeTracer, and the CaseBuilder. We've just now started selling the PlateRanger. That will also be one that we ultimately will connect most likely with the CrimeTracer because the database, tying the data of that billion dollars to the actual LPR, you get information about what that license plate is tied into the CrimeTracer. That kind of information has all kinds of information about who's driving that vehicle. Great question. Sorry, can you just explain the international sales piece again? The higher gross margin, where's that coming from? Yeah, so basically, we're generally selling more to the government aspect of that. When we sold to Uruguay, Uruguay for 10 kilometers was about $600,000. They're significantly higher than what we would have been able to charge for the actual number of miles. Instead of a typical customer pays about $70,000 per mile domestically, it's about $200,000 a mile there because there's no other competition. They don't know who else to go to, and they have the money in most cases. Ultimately, like Uruguay did that, and then they expanded within a couple of months. We just sold to Brazil and went live in Brazil in June, actually. We're already in South Africa. We're in Cape Town. We're in Nelson Mandela Bay. We're in Bahamas. There's our international has.