So welcome everybody. So Gorilla Technology Group Inc. listed on Nasdaq, GRRR. So wanted to give you a quick overview of who we are and then we can dive into a little bit more. The first thing is we are an AI company. I know that's the flavor of the month, but we've actually been in business for 24 years. We've been doing AI for 20 of those 24 years. I'll get into more detail later about what we do and the advantages and everything else. The key thing is that we were founded in Taiwan 24 years ago. The company went public in 2022 via a de-SPAC and the thesis was very simple from the SPAC sponsors that this is a company with excellent technology, really world class, that needed to be commercialized all across the world instead of just in Taiwan and Asia.
Secondly, it had know-how that would be turned into products and those products would be able to be sold around the world. You know, three years on from the de-SPAC, I think we've delivered on that vision: presence in eight countries, 29 patents, five pending. These are the financial figures for 2024. You can see we've achieved some scale already. The key strengths that we are in is video analytics, cybersecurity, and then IoT and infrastructure. What that means I'll get to in a sec. Basically, when we talk about video analytics, we're talking about two things. The first is working with video cameras and video feeds to really analyze video and do certain learning and prediction. The other is post event. For instance, if there was a crime, you need to gather data from hundreds of cameras, comb through it, find out who the suspect is.
We would save you about 95% of the time that it would take normally a police department and get you a better outcome. Second is IoT and big data analytics. We connect up hundreds of devices or thousands of devices into one implementation, one unified unit. This does a few things. One is it makes sure they work together seamlessly. Second is that if individual devices need to work with a cloud through an edge solution, they can work with the cloud directly. It saves bandwidth, improves latency. It means that it can work with more cloud services, etc. This also works for connecting up data centers and other sort of connectivity heavy use cases. The third is cybersecurity. We have cybersecurity really at the OT level, for cameras, for other devices to make sure that those devices are protected from intrusion, malware.
The whole unit, the whole network is a unified, protected whole. Those are our three core strengths. We have products in these three areas, but really where we really excel is a solution. By solution I mean a combination of service and architecture software, our software and some third party software and hardware where we're delivering on all of these strengths. A typical use case for us is, we were called about a cybersecurity problem. We end up turning around to the customer and we're giving them a solution where we're drawing on our strength in all three of these areas and we give them exactly what the customer is looking to accomplish. I'll talk about more in a second. I think the next relevant point is to talk about where we are. Like I said, we started in Taiwan, but the global headquarters is actually in London.
We have a meaningful presence in Bangkok, in India, in Egypt, and a small presence in the U.S. and Colombia. You can see that our focus is really Middle East, Asia, Latin America, emerging markets. What we find is that our customers are usually governments and big corporates. For solutions like this, they're not getting much attention from some of the standard names, the big players. A Cisco could make its budget from just servicing Fortune 1000 companies, companies in the U.S., so they don't think much about a government in Southeast Asia. For us, that is our core customer. The second thing is that for a government in Southeast Asia, price matters, right? They don't have an unlimited checkbook. We come in. We have deep hardware relationships with hardware manufacturers in Taiwan and other places. We can do white labeled hardware.
We also work with some of the biggest vendors on an OEM basis. We can deliver a price point that's meaningfully lower. We can also deliver it to the customer on a CapEx or an OpEx model as they see fit. This flexibility gets customers excited. The price point and the combination of the technical expertise and the solution as one stop shop gets them very excited. I'll go back to that in a second. Basically what people ask us is, okay, so Gorilla, you're talking about why you win contracts. Our leadership team is Jay Chandan, who was the CEO, the chairman of the SPAC that took over Gorilla and he became the CEO in 2022. Raj Natarajan, 20 years of experience in product development at Microsoft. Satish Venkatesan from Cognizant and then Jackie Wang from Lennar in Taiwan. All four of them have decades of technology experience.
They can sit with a customer quickly, understand what they're trying to accomplish and design a solution and say, are you trying to do this? That puts us in a league of our own because they don't have to call the sales team, who calls the back office, who takes three months to get a proposal. We're talking the nuts and bolts of a proposal in the first meeting. The second thing is that we have a Board of directors that opens doors and brings us credibility. Ruth Kelly was minister in Tony Blair's government in the U.K. and then is on the Board of several major infrastructure assets in the U.K. like the water industry and Heathrow Airport. Evan Medeiros was essentially Obama's guy for Asia on the National Security Council. Greg Walker, Keith Levy, both have a finance background, sort of have done business globally.
Thomas Sennhauser was the HP Apex CTO and Intel's Asia Pacific CTO. They bring customer relationships, they bring know-how. These open doors, we also get doors opened from our partner network. We have been working with Intel and Dell for a decade. We've been working more recently with HPE and Nvidia in the United States, we've been working with Broadsat and AECOM and Supermicro, and then we've been working with Cisco and Red Hat. All of these have opened doors. For a company with 160, 170 employees, what that means is the door is opened by maybe a third party or our own Salesforce efforts. Then one of the senior people is quickly talking to a potential customer, we're designing the solution for them and then we're able to talk about how it's all going to work. That leads us into conversations quickly.
Where Gorilla excels is really, we're able to offer them the following advantages. I'll get into the use cases in a second, but the first is that the technical talent can design a comprehensive solution quickly. Second is that we offer one throat to choke. If you are a government and you want to roll out a secure air-gapped network, you don't need to talk to 20 vendors, you don't need to have a solution designer and hardware. Gorilla is the one who will deliver that for you. That reassures customers because they know that there's one responsible person they have to call if it breaks, there's one responsible person who will deliver on it, and that person has designed the solution end to end. The last part is that we have a demonstrable track record of success in these areas of our core strengths.
To talk about some of the key use cases or contracts that we've been working on, we work in Taiwan with the major airport, Taiwan airport. There we've deployed a video analytics solution for several years. This works on the ground operations where we monitor a variety of feeds and cameras. We can track vehicles that are coming in. We can track the vehicles by sight, then we integrate that with RFID technology to make sure that the vehicle is who we say it is and has a security pass. Does the driver, is this the usual driver of said vehicle with said license plate and with the security pass? Is the driver wearing a mask and potentially trying to fool us? We have anti-spoofing technology so we can see if they're wearing a mask and on and on.
Altogether this brings us a robust solution for them to manage all of the ground operations using our software. We have a managed services team that's on site. This is the kind of contract that's been going for several years. Recently we've been in discussions to expand the scope. We've also done in the Middle East for a government in the Middle East and North Africa, we deployed an air-gapped network of over 30,000 sites. This is to connect the President all the way through to a border post in one seamless air-gapped network, meaning that it's not vulnerable to outside Internet intrusion. We delivered the architecture and the design, we delivered our software for some of the connectivity and also the SD-WAN connectivity and also the cybersecurity layer or one part of the cybersecurity layer. Best practices to have several.
We chose the hardware and we have basically delivered the hardware to the customer. This is a contract where we were the one throat to choke for the customer when we announced that it was a $270 million contract over three plus one years. We announced it in 2023. We're ahead of schedule on the project. This is the kind of project where governments and big corporates look at it and say, oh, that's impressive, right? You announced it, you're delivering. It's exceptional scale and complexity and we trust that Gorilla can do this. That's where we've been in terms of the products and a little bit about the management team. Where are we going? The first thing is that a big growth area for us, I mean for the whole world, but especially for us, has been in terms of the data center space.
We're quite different from other players. What we focus on is really offering a full stack solution and we can sort of pick and choose as the customer wants. We have our own core strengths in SD-WAN integration, in cybersecurity and management, and then also in AI dedicated server configuration. An old data center, which is, you know, a converted warehouse or something, is not suited for a pure AI data center. It doesn't have the cooling, it doesn't have the power. We can work with someone to make sure that they're in the right space, that the design of all of the tech is suited for an AI data center. If they want to pay for it in a CapEx model, we can do that where they pay us, it's a one time deployment and then we have an ongoing management fee and software licenses.
If they want it in an OpEx model, then we confront the CapEx, deliver the entire solution and then we get paid a sort of lease fee or a recurring payment over three to five years. For us, we have several advantages that get customers really excited. The first is that given our expertise in IoT connectivity and our deep relationships with hardware vendors, we're able to offer a 6%-7% overall cost reduction. The Nvidia portion of the data centers is, there's no flexibility. This means we're actually getting significant cost savings on our part. Also because it's one throat to choke, one vendor, it's faster deployment and because of our technology it ends up being much more efficient in terms of the data transfer speeds and other networking.
The other thing is that for us, usually a client is looking for a purpose built data center for their specific use case. A traditional cloud, you know, not to name names, but you know, your sort of big hyperscalers, they're offering shared responsibility. They may be offering a data center with colocation here or there, everywhere. They offer general purpose infrastructure, they offer variable pricing models where they're essentially trying to squeeze out extra for compute and then everything is standardized in terms of the deployment. You know, take it or leave it. For us, we're the flip side. We're offering full control and compliance with local regulations. We're offering data sovereignty. If you're a government, you don't have to send the data elsewhere. You don't have to let anyone else see the data. It's your data, you know, Gorilla doesn't even see it.
You know, you just deploy Gorilla software on your data stack. It's AI optimized, so it's purpose built infrastructure. It's high density GPU servers and then the networking that we set up is configured for that. It's configured with the data transfer. To give you an example, we work with IoT for many years so we can integrate with sensors for temperature, for water, etc. so that your cooling and your water usage are optimized so that you're not drawing too much power. You're making sure that instead of stop start on the cooling, it's more of a steady state cost efficiency in terms of the operating cost as I mentioned and then also the CapEx. It gives you as the customer a much lower cost of ownership, deployment speed and then like I said, there's flexibility on CapEx versus OpEx for the customer.
If we front the CapEx, deliver it, they get a predictable fee that they have to pay every month. They don't have to pay extra if they use extra compute or less if they use less compute. It's fixed, it's predetermined price. Both sides know what it's going to cost. What is the track record? Since this management team took over in 2022, in the transition year it was $22 million of revenue. This year the guidance is for $100 million-$110 million and we're on track to meet that guidance. I wouldn't be here otherwise. Forecasting EBITDA margins in the 2025 5% range with a positive net profit, for next year we see a backlog of $85 million. This is what's booked, what we've won, what we're working on already. This is where we have a time and an amount and a contract attached to it.
We however have upside to the backlog. We haven't announced the guidance officially, but I'm walking you through how to think about it. We announced in September a $1.4 billion data center contract with Frere. Frere is a data center operator. This is going to be rolled out over time. There are several end customer implementations. We'll start to deliver this in 2026, and then the revenue will start to flow to Gorilla. It doesn't take much mathematical skill to realize that $1.4 billion over three years is a big number, and even a fraction of this, if it's deployed and accrues to Gorilla, is a big number for next year. We also announced in September two law enforcement related contracts that are in the tens of millions cumulative value, and those would also flow. They've started to pay from this year, and they'll be a big contributor in 2026.
Last but not least, we have several other proof of concepts which are in play, like One Amazon. One Amazon is a project to deploy data, sensors, and our overall capability in the Amazon rainforest for a couple of use cases. There we expect that they'll announce, hopefully by the end of the year, a funding round. Gorilla is the preferred technology vendor, so the R&D spend would come to us. We don't know exactly how much, we don't know exactly when, but that is some of the upside we see for the backlog in 2026. In terms of pipeline, we have several billion in qualified leads. This is total revenue opportunity. It doesn't mean we'll hit a revenue number of $5 billion in one year, but to give you a flavor, it would be a contract where it's $500 million over 10 years.
That would work out to a revenue opportunity for Gorilla of $50 million over 10 years. That is Gorilla in a nutshell. Got a few minutes left, so I'll throw it open to questions if you have any. Everyone totally comfortable that they know everything now about Gorilla, Jeff? Yes, sure. The $1.4 billion contract came because we have, as I mentioned, Nvidia and HPE as core partners. They are extremely busy right now in Asia. Jensen Huang is in Korea, and meeting with Gorilla is one of the things on his agenda while he's in Korea. HPE and Nvidia basically have end customers who say, I want data centers, I want GPUs, and they push cloud providers and solutions providers to meet with the end customers to design the solution, to make sure that they're happy, and then the GPUs get deployed.
Gorilla is someone that they put forward now very actively with their Asia based customers and then increasingly around the world. That came through the HPE and Nvidia connection, and then we've seen a lot of pipeline come through those two channels, but also from some of the other names on this board, more recently for data centers and then for our standard bread and butter government work. We don't run into competitors. Usually what happens is on certain parts of projects we have competition. You know, like a Cisco or someone would come up for the IoT connectivity part. Huawei might be one name that comes up a lot for the AI cybersecurity. They'll evaluate other vendors either to put together with us or in competition.
What happens is usually we're talking to customers that are not on the radar screens of the big players, and then the smaller players don't have the scale and the track record to compete with those customers. The other thing is that through our consultative selling approach, we're trying to provide a solution if it works for the customer. Usually what they say is, oh, this is quite interesting, we want to go with this. A competing proposal either doesn't exist or it's some part of that solution, but it's not all of it. Practically speaking, we'll have two or three. If there's a real public RFP, we'll have two or three other competitors and then they have a different profile to us and they're not competitive. How that works is we don't price it as hardware or whatever. It's a solution.
We deliver the hardware and then the configuration, the architecture, and then our ongoing services, management services, and then the AI cybersecurity and the networking software as one package. We're paid a monthly or a quarterly fee for that on an ongoing basis. If you want to think about it, it's like a lease. GPU as a service plus, plus some other software offerings is the best way to think about it. For the customer, they see one fee that they write a check for monthly as opposed to thinking about it as a certain breakdown. Would you call that application service? We can do the application or we can also do the hardware. That's why we call it a full stack data center, where we say we deliver the hardware to the customer and it's the software and the implementation, everything.