Okay, we are ready to begin with our next presentation. Let's please give a warm welcome to the President of U.S. Ops at GMEX Robotics, Brian Hartzband.
Thank you. Thanks for being here on the last day, at the end of the day. Everyone's building robots that look like us. GMEX is building robots that work with us. I'm going to show you what's real, what's working, and where this company's going. First quick legal note here. Safe harbor slide. Now, a little bit about who we are. We started out as Fitell Corporation, fitness equipment company. We've been building machines for about 20 years, and in March, we rebranded to GMEX Robotics. Today, we build robots. We're on the NASDAQ ticker as GMEX. We're based in Sydney, Australia. That background matters. A lot of companies take an existing machine and they bolt AI onto it. What we're doing is building the AI and the robot together from day one. Why does this matter right now, Brian? That's all me.
Every business owner we talk to has the same problems, same issues keeping them up at night. Staff doesn't show up, the work is repetitive, the output's inconsistent, and most automation out there is too complicated to actually use. What they really want is something that's simple, reliability, consistency, something that works without a whole team of engineers running it, and the timing for this couldn't be better. This isn't a someday thing. We all see it on the news everywhere. This is all happening right now. 2.1 million manufacturing jobs going unfulfilled. 67% of hospitality owners say labor is their biggest headache, biggest challenge. The robotics market going from $60 billion to $165 billion by 2030. Companies aren't just testing anymore, they're buying and they're deploying. What's our answer? Here's our solution.
The GMEX platform, it's one platform, it's hardware, it's AI, and fleet management all built together. It's designed for business owners to run, not engineers. Every robot we place makes the rest of the fleet smarter. Each one learns, and that learning goes right through the whole network. Let me show you exactly how this works. If you're watching GMEX, you're going to hear Terminal and Brain a lot. Terminal is the robot, that's the physical hardware, physical machine doing the actual work, and Brain, that's the intelligence behind it. Every job it does, it learns from, and what it learns gets shared across the entire network. Because the two are separate, we could swap in better AI without having to rebuild the hardware. That's how it compounds. Brian, what makes the Brain different?
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Oh, okay. There we go. This is our AI stack.
AI is a buzzword that everybody uses. I will break it down for you. Social intelligence, that is number one. These robots are coming into our world. They have to be able to understand human beings before everyone can trust them. This has not been solved, social intelligence. This is a big part of GMEX. This is what we are working towards, the ability to read people. As of October 14th, we acquired 30% stake in a Singapore AI company called MediaMeta. That deal is closed. We now own 30% exclusive access to their technology, and we have an option to work toward a controlling stake. Integration started at closing. Second is perception and vision. The robot has to see what is in front of it, understand its environment. Third is core robotics. It plans a safe path. It executes the task. Fleet learning, fourth.
Every robot feeds data back and the whole network gets smarter. Let me show you where we put it first. This is our first product, the 2F Culinary AI. It is a commercial kitchen robot that cooks stir-fried Asian Chinese dishes. It does not have to look like a chef, but it has to cook like a chef. The staff prep the ingredients, they load them, and pick a recipe. The robot cooks, seasons, and cleans itself. A dish takes five to six minutes. One staff member can get trained on one robot in 10 minutes, and one staff member can run up to three. This does not replace kitchen staff. A kitchen just does not need a specialist chef for every dish. The robot, today, it runs on pre-programmed recipes the same way every time. There are 1,000 recipes.
Staff can adjust the recipes and the portions, and every kitchen using it gives us data. That data is the foundation for the next generation. This is the first generation. In March, we signed a deal for AUD 4.2 million agreement, which is $2.9 million, with a major Australian hospitality group, a large restaurant chain. A lot of robotics companies are still in the demo stage. We have a product, a customer, a signed order, and we are already delivering. First couple units are in Sydney. That is just the start. This is proof it is working. That is just a launch. Most robotics companies solve one task, a single arm, a single step. We handle the whole cooking process start to finish. It is not about speed, it is about labor shortage. Kitchens cannot find staff to keep with them.
This is built to reduce that dependency, and the market for this is growing fast, $1.8 billion to $6.8 billion by 2030. We built this for the kitchens, but the platform goes beyond that. Logistics, manufacturing, and mining. Let us start with logistics. This is our next leap. Logistics is the closest jump for us. Warehouses are indoors, structured just like kitchens, same sensing, same autonomy, same fleet software pointed somewhere new. We are early, non-binding conversations, but this is the next area that we get into. The next one is a different type of area, manufacturing. Bigger leap, more safety concerns, heavier machinery, but the interest is real. Companies are asking if we can help. When we get there, we bring two things, safety sensing built in from the start, and no code set up. So it is not just for engineers.
And then an even bigger leap, Australia's a mining country. This is more of a long-term goal for us, but this is extreme environments, no GPS, high risk. We are an Australian company, and we believe that there's a long-term technical fit here. Now let me zoom out and show you the journey that got us here. Look at this. Just a quick recap, because the story matters. From fitness hardware to robotics in under two years. December 2025, our first product out the door. Today, we're in platform expansion. You just heard where this goes next. So how does this make money? Let's talk the business model. Our business model is simple, and it's the same across every industry that we're in. First is hardware. Right now, the hardware, we sell these robots to the customer, they buy them. That gets us in the door.
And then second is subscriptions. This will be the AI platform, social intelligence, reoccurring revenue. And then third is support and services. So, these are the three. Right now, it's hardware sales and that gets us in the door, but over time, we flip the script where it's subscription for our subscription-heavy and the revenue is more predictable. Sorry, guys. And then next, we have the momentum. So we have the order, we're delivering our first few units, and we're looking to get into other industries right now, and we just closed the MediaMeta deal. MediaMeta acquisition, Brian, what is it? On July 28th, we signed to acquire an initial 30% of MediaMeta, the AI company in Singapore. On October 14th, we closed it. Why them? Everyone's competing on hardware. We wanted to win on intelligence. MediaMeta is the social intelligence piece.
Their technology reads people, not just objects, and it's built to work across any robot that we have in the platform. Now let me show you where the platform's heading in the next year or two. So we're in the kitchen right now, first generation. We're expanding to logistics, manufacturing, and mining. And from there, we are looking to add the social intelligence piece into all of our robots. And I'm here in the U.S. to build U.S. relationships, grow the company here in the U.S., and team with technology companies, whoever we can team with to enhance the software subscription. Some investment highlights here, why this holds up. Hardware and AI, one system, not locked into one AI model. Every robot makes the fleet smarter. Revenue shifting to software over time. And the longer we run, the harder this gets to copy. Management team.
This is a team built for one job, taking AI out of the lab and putting it into real working businesses. Sam, our CEO, been with the company since 2017. She helped us move from regular fitness equipment to smart equipment. Edwin, CFO, Commercial CFO. He's helped many AI software startups, keeps us focused on revenue. Jack runs technology and partnerships. He's our bridge between China, where our hardware partners are, and North America. And then me, Brian, I'm on the U.S. I'm teaming up with partners, customers, and talking to investors. And behind them, we've got a board with real capital markets experience. Here's our board. Strong capital markets and legal experience. People who've come from JP Morgan, UBS, General Counsel of Coach. Now let me pull this all together.
By now you've heard all the pieces, real product, real customer, AUD 4.2 million, about $2.9 million , signed in March. First units are in kitchens with more following in phases. We expect 2F revenue this fiscal year. Upcoming report comes out at the end of the month on the 28th. We're not selling a robot that does everything. We're building reliable hardware, improving the AI with each generation, and letting real use show us what to build next. The question isn't whether this market actually happens. It's happening right now. It's whether GMEX executes and leads it. Look, thank you so much for sticking around today. We're building something real one step at a time. We have a customer. Our first robots are being delivered. Thank you so much for listening. If you have any questions, please ask me. Sorry for messing up a little.
Like that, there's a little concern about, basically, you guys did a one-for-nine, one-for-seven, so that's a one-for-63 reverse, and then you're probably going to need to raise again. What can you tell us about the possible dilution effects of that?
Great question. That's a question for our CFO. I don't want to give the wrong answer. Our report comes out at the end of the month. It's foreign company, so every six months. If I can get your business card, I'll get you an answer.
On the U.S. rollout, is it going to follow the same path as before, start with culinaries, or will it bypass to commercial and industrial?
Right now, we're trying to execute our first order and delivery in Australia. But your question is that going to be the same here in the U.S.? It's a good question. It's a good question for me. But right now, that's where our focus is, and more will come.
Now, do you have any sort of examples showing the savings that these restaurant owners might make? Because as you stated before, mainly it doesn't do prep work. Right? If you remember back, as a young lad, I did some work in a restaurant and most-
Me too.
The actual cooking isn't much, but do we have some sort of savings we can show these employers to say, "Hey, you're going to cut a chef. It makes sense to buy this $80,000 robot?
Look, that's a great question. It's not $80,000, but it is a great question, and that's why I'm here, because I've gotten some unbelievable questions, and I'm here in the U.S. with GMEX, and thank you. I will get back to you, I promise.
No problem. But the only reason I got the $80,000 number is I just divided the contract by the number of robots you said you were placing. So maybe on a slide somewhere, break down like, "Hey, there's a subscription service and X and Y" then you can provide better numbers to, "Hey, how much is this robot going to cost me?
Absolutely. Yeah.
Do your shares also trade in Australia?
No, we are listed on the NASDAQ.
Sole listing then?
Yes, but I'll get back to you with the CFO. I don't want to give you the wrong answer. GMEX, G-M-E-X, is on the NASDAQ. Yes, please.
Probably going to send me to your CFO again, but I also noticed somewhere that you've got some Bitcoin, some other coins as part of your--
Right.
--financing structure. Can you maybe go into detail about that or provide us some info? Because there's inherent risk in holding those items as a public company.
Yeah. Look, I'm not going to go too into it. That's before GMEX Robotics. Most of that is stablecoin, and like I said, the end of the month, everything will be in there, and then we can connect then. Okay.
Any other questions? All right. Thank you.
Thank you very--