On the left side of your screen, type your question into the box and click send. I'd now like to turn the floor over to today's host, Ben Williams, COO at Exyn Technologies. Please go ahead. Thanks so much. Good to meet everybody. My name is Ben Williams. I'm the Chief Operating Officer of Exyn Technologies. A little bit about the company. We'll go through the background, the technology, and the categories we operate, obviously. A little bit about us. We are a company that sits at the intersection of high accuracy, rapid mapping, and autonomous navigation. Specifically, what we would call self-contained autonomy. That is no GPS required, no communications required, no prior map or model, or external computer fiducials. Truly self-contained autonomous systems at the edge, without all of the infrastructure needed to operate. We got our start in the physical industrial world. You can see great examples of this on the left-hand side of this slide. Places where physical industries are trying to digitize, trying to gather information about their operating environments. In many cases, are still out there with handheld devices, watching, looking, getting on vehicles out in the field. These are really difficult, dangerous, dirty environments, highly repetitive tasks that are very costly. Obviously, great opportunities for autonomous systems to get involved. We actually got our specific start within the underground mining world. You can see here an example of an underground mine that had been shut down for many years. The owners were trying to reopen the mine, recommence operations, but they didn't know the state of the underground mine. What they had to do was take one of our systems. You can see on the upper right-hand side, where it says operator launch pad. This is where we initiated the mission. They started from outdoors and below tree canopy, then basically created a whole mission profile of search the mine, create a high accuracy model. Because they didn't know the state, they could not do low-level mission planning. All they could do was the high level mission objective of explore and create a model. The system self-defined its own flight paths, created its own sub-objectives, then commenced the mission. You can see the actual, the white thread here is the flight path the system took mapped throughout the flight. At the end of about a 10-minute flight, a single mission, the system came back with a survey-grade three-dimensional model of this underground mine. Now, if you're doing the math on this is a 10-minute flight, maybe 30- 40 minutes of set up and tear down. A couple of hours, you've got a high accuracy 3D model, where if they had tried to do this on foot, it would have taken probably days or weeks in order to get safety clearances, put people underground with tripod scanners and scanning this entire environment, and it would've been very unsafe. Obviously a great benefit to the operators, and a much more accurate model than you would get through other systems. A little bit about this. When I talk about autonomy, there's two main distinctions that I'll create here. One is between automation versus autonomy, and then within the context of autonomy, there are a whole bunch of different elements as well. When you think about an automated system, this is something that is human designed and machine operated. It requires high consistency, low variability in the environment. If anything changes, the system breaks, or you have to have a human reset or remake the model. An autonomous system, on the other hand, is resilient to these types of changes. Given a high level mission objective, it will find its own way to try and accomplish that mission in order to work around changes in the environment. Obviously, in most of the real world, environment control is really difficult, autonomous systems become a really critical hallmark of operating environments. Within the context of autonomy, we've used the SAE models for self-driving cars to create the aerial autonomy versions. We did this paper in coordination with IEEE Spectrum, as well as a bunch of university partners, trying to validate this structure. Within this, level 4B is where we operate. Some of the critical hallmarks here is that the operator is not flying the system. You're also not doing low-level mission planning. You're not defining specific way points or flight paths or any of the sub-objectives. You're simply defining the high-level mission objective, and the system is decomposing those as it goes, determining best flight paths, best flight speeds, safe navigation corridors, et cetera. Within the context of the 4B specifically, the B refers to a level of environmental classification where it learns and understands things about the environment and then takes action based on those understandings. A great example here is, in a lot of constrained environments, a drone system is likely to kick up a cloud of dust. These dust clouds to a raw sensor stream will appear as though it's an object or an immovable or a non-navigable wall. In order to operate successfully here, we have a filtration and classification algorithm that allows us to classify what would otherwise appear to be non-navigable as a cloud of dust. It navigates through it, although slowly, and can still detect millimeter thin wires within that cloud of dust to navigate around. A really critical element in how systems operate successfully in some of the harshest environments around. A little bit about how we have gone to market. Our intelligence and all of our intellectual property lies in the software side. The suite is called ExynAI. Within this world, we've developed a ton of different software elements that combined equal this sort of software suite. Because we operate out in the physical world, there's always going to be hardware involved somehow. The way that we've managed this is what you see on the left-hand side here, the Exyn Nexys. This is a modular payload that provides autonomous navigation as well as 3D mapping. This is the system that we then put onto third-party drones and ground robots in order to provide both the mapping and the autonomous navigation. You can see a bunch of the systems here that are commercially available worldwide. We've integrated on over a dozen airframes and are continuously adding more to the portfolio. The idea basically is that we want customers to be able to buy whatever drones they like, put our autonomy payload on it, and enable those systems to be truly useful for them. In the context of our market dynamics, I talked about mining being our first category. It is still our largest market. Our second-largest market is the geospatial data world. This is our fastest growing market to date, and we expect this to overtake mining this year as our largest category by revenue. A huge opportunity. We're barely scratching the surface. These are some of the addressable markets. You can see here all of them on their own fascinating markets. We're really well positioned to take on a bunch, a big category in each one of these. In terms of how we've developed product to meet these challenges, on the very beginning, we had a very targeted use case, very highly integrated system that was focused on one or two very specific use cases in underground mining. That was the ExynAero. As we expanded the flexibility, the modularity, and the maturity of the system, we started to add different use cases and different capabilities. This led to us improving the modularity to the point where we can build the Nexys, which is the payload I talked about earlier. After we had the payload, then we started adding more and more integrations. You can see examples of these, but we've started doing a really flexible open model that allows people to integrate into all kinds of things. This has then led to the most recent shift for us, which has been to add an OEM category, where we allow OEMs to build product on top of our core foundational tools. The two mechanisms here are either through the Nexys and then adding an API structure to allow people to build on top of it, or to license the SDK or software development kit, either as some of the parts, some of the modules, or in its totality. In those cases, we don't have to see the hardware at all. It is purely a software transaction. Both of those are the means by which we are tackling our third major market, which is the OEM world, which leads me to our fourth category of the four. Mining, geospatial, OEM, and government and defense. On the government side, you can imagine that a GPS denied and comms denied system already has a huge advantage in contested environments because we don't have to develop specialized technology to operate in areas where GPS spoofing or jamming is omnipresent and communications jamming is very regular. We can operate comms dark and GPS denied from the day one. We also are able to operate in a lot of different weather environments, darkness, dust, smoke, et cetera. These are areas that we are regularly operating in anyway. Given the outgrowth there into a bunch of defense use cases, including intelligence, surveillance, and reconnaissance, tactical mapping, real-time digital twins, maintenance availability improvement, a bunch of use cases that the government has targeted as their areas of investment over the next few years. Part of why we have this advantage and why we've been so successful in these four categories is because of the depth of real-world experience. This is not a lab technology that has recently been spun out without any practical testing. This is a fielded capability that has been out in the real world in some of the harshest environments, operating autonomously for over six years. Our external users perform well over 1,000 autonomous flights every single month. Trust me, they put it through the paces. We have developed all kinds of ways to deal with edge cases and microclimates and interesting things that you would never think of operating in a lab environment. In order to make it work in the real world, it becomes a really critical piece of the capability set. Because we are already a product market fit for a couple of our core markets, this is not a technology development play for us. We're at the stage where this is market growth capital, a lot of focus on sales and marketing and growing the team, as well as doing some R&D development thanks to the forefront of capital buys into recurring revenue is a critical piece of this transformation as well. You can see some really great examples of customers that we have across some of our core markets, mining, construction, geospatial, a lot of big names here. You can imagine these are not folks that make buying decisions lightly. We've had to prove dependability of our systems in some of the harshest worlds and to some of the most exacting customers. Because we are part of their critical path, it took time to convince them that we were dependable, reliable, and able to give them the right answer all the time. This is how we've now become what we believe is a market standard for data collection by autonomous systems. A little bit about our expansion mechanisms here. I talked about mining and geospatial as growth markets. Beyond that, through our channel partnerships worldwide, we're operating in over 30 countries. We've had systems operating on all seven continents, especially AEC and geospatial. These are major growth categories driven by channel expansion. On the government side, and the OEM side as well, we have a bunch of new partners, and we're beginning market entry in earnest as of starting end of last year, and growing quite a bit this year as well. Behind all of this, obviously, we've got a great team. My name is Ben. I'm right here. Brandon Torres Declet is also on the call here. Our CFO and CTO are both world-class. Up and down the chain, the rest of the team is supremely capable. We've got some of the best minds in the world working on autonomous robotics. A little bit about the financial side. From 2023 to 2024, we saw about a 20% year-on-year growth. From 2024 to 2025, we saw a similar growth in terms of orders. We got a bunch of those orders towards the end of the year. There was a shift in some of the nature of those orders to emphasize more recurring revenue and software-oriented models. As a result of that, a lot of that revenue didn't get recognized right in 2025. We had a backlog of over $1 million going into the year 2026. That's a pretty strong position for us to be in, I think, and you'll see us continuing to focus on shifting some of the revenue types to more recurring revenue models, as well as higher margin software and partnership models. As something to sort of leave you all with, a couple key points to make here. We've got a technology moat in the form of our Level 4B autonomous navigation. That is both in terms of the core technologies, but just as important is the infrastructure that binds them together, what you might call the tubing or the piping that connects it all, and the ways in which we've optimized to emphasize survivability and dependability in some of these harsh environments. Oh, sorry. These are mission-critical systems for some of the harshest industries. We're part of their primary workflows, so if we go down, they go down. As a result, it took time for us to convince them, but they've been convinced. They come to us first when there's an opportunity to do new use cases or to rebuy or re-up or expand the usage. We're proven at scale. There's well over 1,000 autonomous missions performed every month by our external users. This is a dual product business in the sense that there's the Nexys-led systems and the API and SDK-oriented OEM integrations, which means that we have quite a broad spectrum of ways to serve the customer. We've got a huge opportunity here. We're at the intersection of autonomy, digital twins, lidar, and robotics. Any one of those would be an interesting opportunity. The four combined is really huge. As I mentioned, we've got a great leadership team, and we're happy to answer any questions you all have. Thanks, Ben. Appreciate it. Our first question is: How would you describe Exyn's core technology and the difference between automation and true autonomy in GPS-denied environments? Sorry, can you hear me? Yeah, Ben. Sorry. Brandon from Exyn Technologies gets to go through, I'll take that question. Okay. Traditionally, a lot of OEMs and manufacturers have talked about waypoints and automation and have conflated that term with autonomy. I think what makes Exyn Technologies unique is the fact that we've got 10 years of experience working commercially in developing true GPS-denied, comms-denied autonomy across both aerial, ground, as well as maritime robots. Think of us as a proven tech stack. As Ben mentioned, we're doing about 1,500 different flights a month, pretty much on every continent right now. We're talking about true autonomy here, not automation, not waypoints. When I speak to folks, I always encourage them to ask what OEMs and what software providers mean by true autonomy. We are definitely at the Level 4B and continue to advance that autonomy tech stack. Thanks, Brandon. Yeah, you mentioned you achieve Level 4B autonomy. Why is that meaningful for customers operating in complex, hazardous, or communication-limited environments? Yeah. Our autonomy tech stack uses SLAM, simultaneous localization and mapping. The onboard computer is doing real-time data collection and real-time mapping of the environment where the drone or ground robot is in real time. That is unique. It is not a preloaded map. For example, there are other companies in the space that are calling it autonomy, but they're pre-loading a map. There is no preloaded map that comes on our onboard system. It truly is the ability for the robot to collect that lidar information and to provide a real-time map of that information without GPS, without communications. That's great. Our next question is, mining has been proven an early market for Exyn. What has driven adoption in mining, and how much runway remains in that vertical? Yeah. We've traditionally been focused on the mining sector. That's really where the company got its start. I would say since my tenure over the last two and a half years, we've looked to diversify the sectors that we're going after to include a broader geospatial, think infrastructure inspection, think digital twins. Obviously we see a big opportunity in the defense and government space with the continued spending by the administration, not only on hardware but on autonomous software. Great. We have another question here: Can you add more color to your drone business? I want to be clear with the callers on the line here, is that we don't manufacture our own drones or robots. What we create is the hardware, the Nexys and Nexys Pro. That is a unit that provides a lidar scanner that is integrated with our autonomy tech stack. That's our onboard computer as well as our software. We integrate the Nexys and Nexys Pro across a number of different platforms. For example, we've integrated with DJI platforms, we've integrated with Freefly, we've integrated with CACI, and we've got a whole bunch of new integrations that we're working here in the coming months and years. Think of us as an integrator where our value proposition is providing both our hardware, our Nexys and our Nexys Pro, and our autonomy software onto robots that other OEMs are manufacturing. Great, our last question: Have you provided any guidance, and if not, what should investors be looking for in the second half of 2026? Good question. We're not currently providing guidance. As you know, we went public back in mid-May. We are going to be obviously making our initial filings here shortly. I think what I will tell you is that the announcements that we've made have been very oriented towards defense, national security, and the government space. We think we have a proven commercial technology here with our autonomy tech stack. We believe there's a big opportunity in the defense and national security space. The government's going to be buying millions and millions of drones and other types of robots, and what they're certainly going to need is the autonomy to basically field them globally. That's where we expect to play. We're already in conversations with numerous other OEMs to integrate. That has been something that we have done in the past, and we continue to advance on those partnerships as well as on improving our autonomous capabilities. Thank you, Brandon. I really appreciate it. There are no further questions. I'll hand it over to you for any closing remarks. Thank you, Natalia. I appreciate everyone joining today's call. I think there's an exciting opportunity here. The company has a proven commercial technology, has dozens of customers that are actively leveraging both our hardware and our software. We are advancing and pivoting towards the defense and government space, and we see huge upside and growth opportunities there. We'll continue, obviously, to work on the commercial side, expand into mining and geospatial. We think as we look towards expansion of our channel partnership program, that we'll be able to reach even deeper penetration into both mining and geospatial. Please keep an eye out and feel free to sign up on our website for news. We are often putting out white papers and other interesting notes and partnerships with regard to the work we do with our customers. We welcome that, and thank you all for your time. That website is exyn.com, EXYN.com. The ticker symbol on Nasdaq is EXYN. Thank you. That concludes Exyn Technologies' presentation. You may now