Okay. Thanks everyone for joining. Really exciting time to provide an update on the company's activities. I'm Ed Clarke, the Founder of Inturai and CEO of Inturai Ventures Corp. We have a huge turnout today actually, so really looking forward to this. You should be able to see a Q&A section in your options to ask questions. We'll try and get through that. I'll be driving all of that, so bear with me. The aim will be to talk for about 15 minutes and then answer a few questions at the end. With that, I'll start sharing. Just make sure before I get started, maybe if someone in the chat could send a thumbs up or a yes to make sure you can hear me and that I'm not talking to myself. Okay, we've got the hands up. That's great. Thanks, guys. That's always a good place to start. All right, so I'll get into the presentation. I can see a number of people that know the story quite well. For those that don't know Inturai is building a new class of sensor of spatial intelligence using AI and RF signals. The RF signals you'll understand is we're using Wi-Fi type signals. The signals, I think, 2.4 GHz, 5 GHz, 6 GHz, standard signals that you can buy off the shelf products and turning it into spatial intelligence, which means we can feel, see, and understand the physical world through radio signal. There's been a few big catalysts for that, and we've also announced a proposed acquisition that can really launch that into, I think, the stratosphere of what's potential on the defense side and policing side and also emergency services. I'll walk through some of that today. Getting into a bit of the technical side. Where we fit in the technology stack of what's out there at the moment. The problems we have out there, cameras, infrared, LiDAR, expensive, and they can't see through walls. It's very difficult for people to get spatial awareness and intelligence through these traditional models where they're working in confined environments or line-of-sight denied environments. This is obviously true of aged care, where you're trying to understand what's happening in a home and if someone's safe, all the way through to the policing, military, and other places. There's also a very expensive ecosystem of sensors out there and beacons, and I mean, a lot of you would understand the AirTag capability from Apple. We actually have worked and have breakthrough technology that enables us to turn standard devices like phones, watches, into an AirTag so we can track people through their home. We can use it for anonymized data collection in malls and other places. The other part that's really important. This is feedback we've got both in the aged care arena and the military arena. People don't charge the batteries on their wearables to get that type of valuable information, whether it's a dementia patient or if you've got a military personnel who is walking around with a watch and all other sorts of devices that they have to keep charged. The more devices you give them that they have to charge, the more dangerous it is that they forget to charge these devices. This is a very device-free or device-limited ecosystem, providing all sorts of insights from that platform. The bread and butter of this, as you can see here, is real signals, real impact. We've been doing work. We now detect heartbeats and breathing patterns. We've got a sleep quality sensing that we pull out of that, so it can actually remotely monitor sleep quality without any wearables. It is quite accurate, and the feedback from the health ecosystem is it's quite difficult to get accurate readings without wearables. We're looking at things like presence, movement, falls, vital signs, and vision through walls. How we work, we have discrete sensors. That can be a little Wi-Fi type sensor that you can place outside or inside a building. It plugs in within a couple of minutes of calibration now we've got it down to. You can then see what's happening inside. You can see the representation on the top right-hand corner of the screen. You can see a kind of proxy for a floor layout. You can see the dots moving around that are located inside that building. What we do is we take the raw signal. It's just every internet router in the world has what's called channel state information. It pulls back a graph of information about how that channel state information is flowing. We take that information and we actually compress it using AI models and machine learning to smooth out the noise and get to the signal of what's happening inside that area based on how the signal is bouncing around. It's a very complex algorithm, and we've got some patents that we're about to turn in for that. It's a very new, unique way of auto-calibrating and speeding up the ability to read a physical environment. We see movements, we can spot falls, we can see presence, even without wearables. That's been something we've been developing over the last six months, and it's going really well. It's very intelligent and it's very easy to integrate. A simple line of code, and you can plug it into any platform around the world and from different technology verticals. Benefits, looking at certain deployments I've seen in the aged care space. I've seen aged care deployments where you're looking at even a small deployment, you're looking at, say, CAD 250,000 of hardware to get a smart location set up. We would be about a tenth or less of that cost to deploy because we're using standard off-the-shelf technology that are mass-produced. We're not using specialized beacon gateway devices. We can charge anywhere from CAD 40-CAD 1,000 + a month, depending on the use case, depending on the amount of data and what's being asked of the platform. We run that at about a 90% margin. Our model, as I mentioned, it's a B2B model. We go to people with a large customer base, whether it be mapping companies, whether it be aged care companies, obviously military service providers, drone providers, et cetera, where they can add, just like they'd add a camera to a drone, or they'd add a new hardware product to their sell sheet, they can add our capability to their channel and then push it out to their customer base. One of the interesting things that we announced over the last six months is we are now quantum-secure. We've been working with a startup out of Singapore that spun out of NTU, which is a Singapore-based university now ranked number one or two in the world for AI and quantum, who we've been able to put that into our devices. The reason that's important is you've got Australia, the U.S., and the EU are mandating that by 2028, all companies in critical data spaces like defense, healthcare, and other valuable personal data spaces are moving to quantum-secure networks, and they have to be there by 2030. As part of our push and, I guess, enablement of our customers to adopt our technology, we've helped cover the step that they're going to have to replace the hardware they have anyway because of this quantum-secure capability. A lot of the hardware out there that they've had to build custom doesn't have the compute potential to run quantum-secure algorithms on them. We've essentially, we think it's a first in the world, been able to deploy quantum-secure algorithms on a CAD 15, essentially, chip, which we buy off the shelf and which runs our whole aged care stack as well. Really interesting stuff and really important for the different arenas that we are operating in. Just talking about the traction and advanced pipeline that we've got. We recently announced an MSA signed with the biggest aged care provider in Australia and New Zealand, which is Tunstall Healthcare. They've got 50,000+ homes. They've indicated strongly that their wish is to move off their legacy hardware and suppliers and to move onto our product. Obviously, in the aged care and the healthcare space, it's a slightly slower move than other areas, but that's moving really nicely. I'll talk about the process we went through with them shortly. In retail, we're seeing a lot of traction with mall operators, mapping service providers, and retail technology companies. The ability to understand footfall, to understand unique visitors, to understand store flow for companies that are really trying to maximize their revenue per square meter, has something that stood out. With the changes to iPhones and Android privacy technologies, it's very difficult to get that type of data that they used to get from Google metadata. Now they're looking to us to help provide that information. We are piloting that technology in a few different companies around Australia and Asia. One that's been really interesting lately, I've just come back from Melbourne where we've got a data center services provider who's interested to use our technology for security. There's issues where people are tailgating the approved person through doors, so we can sense multiple people moving through locations. Safety, obviously, to making sure that they're spotting falls and activity that could be of concern inside facilities. Also supply chain integrity. Being able to tag and track all of the expensive and small devices that live in data centers has been identified as a really important part of the process. We're able to, by putting low-power Bluetooth stickers on the devices when they're sent from the manufacturer, track them as they come into the data center and know which devices are the correct ones and make sure that nothing's been swapped for inferior, secondhand, or didn't arrive. Obviously, some of these small GPUs, the size of a shoebox, worth millions of dollars, and you don't want people playing around, swapping, et cetera. In our pipeline, MSA and piloting, there's over 70,000 locations addressable. We are pushing very hard now with some of the technologies to bring the commercial success through to financial success, we're really looking forward to that happening in the very near future based on what's been happening. I think one of the big questions always has been of our technologies, that does it actually work? It's a brand new class, obviously, when someone's coming across a technology they've never seen before, it's a really important question as an investor, is can it execute? I think over the last six months, through a very obviously difficult and arduous journey, we've gone from LOI, January to, in June, signing a definitive three-year MSA with Talius. That was six months of testing, of demonstrating, of training, and showing them the capabilities of the platform in their environments over in Australia, them testing the hardware. We're at a place now where we're really looking forward to start to roll that out into the customer base. Obviously, as I mentioned, in the healthcare space, it's not as easy and as fast as in other areas, but aged care has been our real focus because we know there's huge demand across North America and Europe for this capability. We believe now we are there with many of the capabilities that are going to be offered. That's something that we're really focused down on, and we've got the company's buy-in to continue to execute on that. I know for a fact that they've been using the technology today over in Brisbane, they're continually engaged. What I'd like to play here is an example about how that looks. I did promise demos, and I think that's always important. This is our Inturai portal. This is showing how our back end looks. The customer won't see this. The customer will only see the Talius front end. What combining the Inturai front end and the Talius platform does is provide a full-stack aged care platform, which I know a few people on the call will be quite interested to see. This is all the smarts of our sensing with all of the capabilities of Talius' platform that enables care providers to get all the information, alerts, rules, regulatory, and compliance of aged care in a single source of information. This is our platform. They can come in. Sorry, I've gone a slide forward here. They can plug their information in. They can sort through the data. You're seeing here all the different actions that we're pulling into our platform. What we're then going to show you is how that flows into the Talius platform. We're going to change screens here. This is the Talius platform. You can see here there's a whole heap of new capability around event history. You can go into a certain patient's activity or a certain staff member's activity to make sure that their rosters and schedules are being met and see all the codes and events of those histories to make sure that you can verify that they happen. What that actually looks like in practice will flow through in the next few seconds, where you can see here you've got the daily activity of a patient. This could be at home or in a nursing home. The events that we're able to pick up from here, obviously, fall alerts we can pick up, activity alerts, rest time, door open, use bathroom, use shower, in bed, bedroom, chair, lounge room, out of room. We can pick up all of those data points from our wireless sensing system, which replaces usually about 25-35 different devices from five or six different companies, which has been the historical way of collecting that data. This is a single person in a day image, which if you're drilling into a patient, you'll look at. Then you can see here a diary. The diary helps us start to understand how a person's days are differentiating. If you're seeing more toilet trips, if you're seeing no trips to the kitchen. If you're seeing things that are changing, there's machine learning algorithms that can pick that up and give you an understanding of, hey, things are changing. This person's no longer eating, or they're not getting out of bed, or activities like this that can pick up patterns, and then that can be created into an alert. You can see what's happening at a high level across all your patients and bring the things you need to know for the front, including you saw there the fall alert. You can see the red dots in the top right corner is where falls have appeared during the day, and they're picked up as well. Obviously, they trigger different events. They could trigger from the Talius platform or our platform, an SMS, an email, an alarm, or whatever, a notification on a dashboard. Whatever's configured can be sent to the carer to take care of that. This is a full stack platform. We'll be looking to launch and push that into North America and Europe in coming weeks. We're really excited about that. Moving on into the defense sector. We are getting a lot of traction there. There's a huge demand for our product. It doesn't exist in the defense tech stack today. We have a strong, and we've been announcing different military service providers that come from the special forces. They're the ones training the Tier 1 operators on how to best work through their field operations. We have been moving more towards fully automated calibration, which is a final step in the platform, which unlocks all of this, and we're getting very close to that. One of the things we did recently with the acquisition of DomeCommand is automate more of that, and I'll talk to that in a moment. In the military space, we do have engagement in the United Kingdom. with some groups aligned to the SAS. They are really interested in this product. In Canada, we've announced some MOUs recently and some orders. North America, obviously, we've got some small orders starting, and looking forward to those turning into commercial orders as we move throughout the year. I'll talk a little bit now about the DomeCommand solution. The DomeCommand solution is a really comprehensive autonomous drone management platform, and why that's interesting for us is one of the use cases for the Inturai Stealthwave platform, our military platform, is that it can go around a house and see what's happening inside. The need to get it around that house in a safe manner has always been a question we've had to solve. Through the DomeCommand platform, we can automate the deployment of three to four drones to fly around the house and set up correctly without needing an operator, which speeds up the deployment process and makes it obviously much safer to get a picture before operating. This could be relevant before an entry in the military field or getting information when you've got a hostage situation in the policing field or where you're trying to understand what's happening inside an area. It's a software platform. There's no hardware to it. It's in the really interesting space of sensor fusion, and there's some really, I think, strong IP being built there about automating the use of drones flying in patterns to be the sensors, to be the radar, to understand what's happening. This platform is being built in conjunction with the National University of Singapore and the Singapore Defence Forces. It's a capability that the Singapore Defence Forces don't have, and they identified as one that's much needed, obviously, with Indonesia and Malaysia, within an Amazon drones flight of the border. They have threats they've identified. This is a really good platform for protection and counter-drone capabilities. This was validated, actually, when we were working through the acquisition project. Some of you may recall the UFC event recently, where a couple of people decided to buy Amazon drones and put explosives on them and try and fly them into the event. The typical autonomous drone management platforms are built by Palantir and Anduril. It's a big stack. It's very expensive. It's not built for the critical infrastructure like nuclear plants. It's not built for large major events, and it's not built for police forces to use. It's far too expensive and it's far too large. This scales that down. It's so unique and interesting that we, in fact, had calls recently over with groups in Ukraine who are particularly interested in adding this to the capabilities that they have because it brings AI management of drones to the field at a low, affordable cost to spread actually into the teams that are out in the field. Bit of a video here on DomeCommand. Be great if I could get a couple of thumbs up to check everyone can hear. [Presentation] Okay. Through to the next slide. Essentially, there's a huge cost gap in terms of this type of technology, both from the software and capability and also from the drones that are being used for counter-drone measures. This solves that problem and is currently, I think, largely being recognized as the number one capability upgrade now that everyone is out making hardware drones. There's a lot of, essentially, standardized drones, hover copters, et cetera, being built at that low cost point, which has been identified as a need worldwide after the Ukraine activities. This is a product which is very unique, and as I mentioned, we've got very strong engagement from Singapore Defence Forces to start with, but we are speaking to other areas on this. The same way that you saw this planning and actually suggesting and giving feedback on threat drones, we're almost there in completing the ability for it to fly around a house and provide feedback off what the Inturai sensors are giving the drones, and then provide to the agent or the operator. That could be a hostage negotiator in the field or someone at a central post and say, "Hey, someone's in the northeast corner of the house," et cetera, providing human language feedback from the agents to the user. A really valuable capability for what we're going to offer in the Stealthwave Defense emergency services policing field. Just a summary of that stack and what this acquisition will add. Deploy the Inturai sensors or the drones, or the drones with Inturai sensors via DomeCommand. Inturai is a sensing capability for the platform, then the decision through the agents and the operator on the DomeCommand platform gives you a full autonomous move, see, understand, and act platform, in areas where we've got a lot of traction. I think that's been a really positive receive when we did some research with our customers on how they would deploy our sensors. Yeah, I think there'll be a lot of interesting news coming on that. Just a bit of a summary on where DomeCommand sits. The stack, that capability is about a CAD 61 billion platform with Anduril doing this type of thing in the command and control platform. It's all proprietary, the full stack for drones, everything in that platform is proprietary, whereas our platform is open. You can buy drones off the shelf that have SDK capabilities, to run the DomeCommand solution. You can plug in all your existing radar image. We call these sensors. Any sensor, any video, any CCTV, any radar can plug into the platform. It will view and manage, and use that information to make its decisions. Therefore, it can be plugged into the infrastructure around airports, police stations, events, small nations like Singapore or the Middle Eastern countries to become a really interesting piece of technology. Sorry, just jumping through. My buttons are a bit slow to react today. We've hit small revenue. I do see some questions there. I think the big focus always of Inturai has to get it into the aged care space first, because that's the hardest to prove out. That's like getting through the clinical trials to get to FDA approval. It's the hardest thing to do because it's the most critical. We are very much there, as shown through the MSA. Now we've done that, we can really start focusing on, moving back through the stack and pushing this out and commercializing it. I think it may be underestimated, even by myself at the beginning, how tough that would be. Now we are there. It's a really great spot. I think that given not a huge amount of investment compared to other technologies has gone in to build this, the company's in a great position to execute. We expect obviously moving forward, that we're in a much more commercial and revenue path than we were before we didn't have this MSA in place, which was critical. Obviously a lot of pilots happening. Share price CAD 0.20, CAD 0.21. We have over the last six months cleaned up the register a lot. There is far less options out there now. I think you can see from the chart, it has been a very steady growth company, which is nice. We have really been focused on building the technology. I think compared to its peers and the capabilities of its peers, I think in my opinion, we are undervalued, and I am still very excited about where this company can go in terms of the My objective is obviously the billion-dollar market cap, Nasdaq listing, but we are in a great spot. The technology is moving well. It is a really tightly held register. We have got really strong supporters on the shareholder base. I can see a number of them on today, so thank you for that, and I hope that anyone new that joins that team. I think the ones that are here will tell you that I am very approachable. You can drop me an email, give me a call, and we can have a chat if there is any more questions. We will also start to open this up for questions for anyone out there as well. Probably got a little bit over time, which I apologize, but please do send your questions through Q&A or chat or whatever you can find that will make those questions work. Otherwise, I will let you guys get back to your day. But I will give a minute or two for questions to come through. Yeah, so cash in the bank, I think there is about CAD 550,000-CAD 600,000 burning about CAD 80,000 a month. There are obviously some more options coming. We have got a bit of plenty of runway to go. We do not have hard sales contracts. We are not going to be that type of company, I do not think, to take bulk orders, except from the military side. We will be coming through on expanding monthly recurring revenue based on deployments. We will look forward to announcing that over coming weeks and months as they start to come through following the MSA and with some of the other clients that we are onboarding. Thanks, Axel. I can see a question there. MRR-wise, no, we are very low at the moment. So immaterial at the moment. We will provide updates on MRR growth as we start to get those bulk orders in following the MSA and in some of the activities that we bring through. I see a question here. For Wi-Fi sensing, did you mention that drones can be sensors for devices as well? Yeah, good question. As I mentioned, we can very easily, and we announced some work to be done to actually put a whole new capability on the drone. Yes, our devices are built. They can run off the power of the drone. They can run off the drone's battery very, very simply, because they are off-the-shelf USB-C powered. It is a very simple thing for a drone manufacturer to do, or a simple user. Or you can just use a small battery and add it on top. We can also send our information back through the drone's back channel to the user. So everything that we build is standard in such a way that it is very easy to actually fully integrate that into a cheap drone. On the vertical side, I think there's probably too many verticals. That's one of the challenges of the company is to make the right decisions on what to focus on. As I mentioned, we have been very focused on aged care and defense, and that's obviously been a little bit to there, probably against revenue. We do know that once we get this right in aged care, it's fully transformative because the onus is on providers to have visibility of what's happening to someone, whether it's in a facility or at home. The technology that's historically out there is very expensive. You're looking at CAD 10,000-CAD 20,000 to get a smart home for aged care. We're delivering that in a home environment, say CAD 200. It's extremely different fundamental price point, and it enables the technology providers we work with that go to the aged care providers to move to a recurring revenue model from a hardware model. It changes their profit margins as well. We've been very focused on that to get that right, which has been the journey up until here. Another question from Axel. Obviously, our ambition in 2027, I think would be fair to say, that's being cash flow positive. In terms of financing rounds, we have been really focused on this acquisition. It's something that with a bit of runway and some revenue coming, we can address at a future stage. Right now, it's just completing the acquisition. We have a question from David on revenue forecast. As I mentioned, I alluded to our burn being about CAD 80,000 a month. Our aim in 2027 is to get cash flow positive. You can sort of take that from there. Obviously, we don't provide formal guidance, but those are objectives of mine that we'll work towards. Okay, I'll take any last questions, but obviously feel free to send me an email if you do have any questions. Have a comment here. Have noticed that there's been a lot more trading volume in Germany, and is the goal an up-listing into something like the Nasdaq? Yeah, I think that's really the hard thing. I think as someone that's historically dealt in the Australian Securities Exchange, the Canadian market is very different. One of the objectives of the board is to focus on that Nasdaq up-listing where we can get a lot more eyeballs, a lot more market looking at our platform. I think that this company on the ASX would be multiples of its market cap now. I think that that's really the job of us to execute, show that MRR coming through, that achieving revenue. I think then we'll see some of the institutional groups in Canada buy the stock, and that will pretty quickly go up to CAD 1, and then we'll be start to looking at Nasdaq listings. That's the journey. Thank you everyone for joining, and as I said, Phil, if you didn't get a question in or you didn't know how, send me an email. I get all the info@investor@email, they all come back to me. Whatever email you can find, you can send it to me, ed@inturai.com as well. Send that, and thanks everyone for joining, and I know we've got another one later. There's actually a huge turnout today. We've got another very, very large turnout for the call during the Canadian trading time. It's probably the biggest I've had of any company. There's a lot of interest. We are getting a lot of inbound investor interest from groups trying to build a position, et cetera. Yeah, it's a very exciting time. There's some big catalysts that have just happened and a lot of upside ahead. Thanks everyone for joining, and speak soon.