Good day, and welcome to the iAccessAlpha Virtual Best Ideas Summer Investment Conference 2026. Our next presenting company is Rank 1 Computing Corporation. If you would like to ask a question during the webcast, you may do so at any point during the presentation by clicking the Ask Question button 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, Mr. Scott Swan, Chief Executive Officer at ROC. Sir, please go ahead.
Thank you, and thank you all for providing me with some of your time this morning. You know, every critical system, from banks to borders, they need to answer three questions. First, who am I dealing with? What do I know about them? And then, can I trust them? You know, these are exactly the kind of questions that ROC is trying to deliver answers in seconds instead of hours, which has been the de facto to date. You know, identity, intelligence, and trust, they're converging into what we believe is going to be one of the most important infrastructure layers of the next decade. You know, it's important to note that today, much of that capability, especially when you talk about at scale, it's being built outside of the United States and people are surprised when I often tell them this. When you think about the way that we screen people for coming in and out of this country and I'm talking about the FBI, the Department of Homeland Security, the Department of Defense, various national security systems, there's actually 19,000 criminal justice systems. It's almost 100% powered by foreign artificial intelligence. But ROC is building those kind of algorithms here, and we're really determined to help put the U.S. as the dominant provider of those kind of technologies. You know, we grew ROC organically. We didn't take any outside capital. We're now public since February, and we're scaling to take on these global incumbents, and we plan to win. So let me show you today how we're doing that. We'll start here as a standard forward-looking statement and happy to address any questions and answers at the end of the session. We're building a vision AI platform that's unifying video, biometrics, and digital evidence into a single operational system. Historically, this data has been fragmented, and that leads to delays. It can be very dangerous for the operators that rely upon this data. You know, I want to start out by giving you an example of how this unified platform really translates into real-world impact, and this is really how ROC separates itself from our competition. So think about latent fingerprint identification. This is one of the most powerful tools in forensic science. This is essentially where you take an unknown print, where you collect it from a crime scene, and then you match that against a large set of known fingerprints, similar to, like, a criminal history database. Currently, that market is dominated by a large European provider, but all of the vendors that participate in this space, they're expected to be benchmarked by a government institution called the National Institute of Standards of Technology. It sounds kind of technical, but it's important because it leads to acquisition decisions, and so that participation is quite imperative. And our very first submission to NIST, Rock ranked among the most accurate systems in the world, but what really set us apart was the speed. We're pioneering this fast-speed search. What took the incumbent roughly an hour and a half to search against a database of 30 million people, we completed that same search in 15 seconds. 15 seconds compared to 90 minutes. That's not just faster. That's how information gets used. It goes from something that you get after the fact to something that you can actually use in the moment. And that speed also equates to real money savings. You know, agencies like the FBI, they spend nearly $20 million of cloud compute per year to operate these kind of systems. ROC allows that to be orders of magnitude less in the hardware, and it can drop millions of dollars of savings to our customers. So that combination of speed, accuracy, it really fundamentally changes how these systems can be used to support real-world policing, border patrol, Department of Defense, and various other types of systems to include commercial security. And we're really the only system that's globally delivering that level of performance, especially within America. So this platform in action, really the full breadth of our capabilities across biometrics, video, analytics, and visual evidence. Think about face recognition, fingerprints, iris, tattoo, object detection. We need deepfake detection, vehicle recognition. This is all in one single system. And importantly, none of this is experimental. I mean, these aren't just research algorithms. These are NIST-ranked, production-grade, top-notch algorithms, and that's really what enables us to deliver this unified operational layer. Completely outside the tech is really our people. You know, we built this platform because many of us have lived the problem. You know, my team, we've been involved in essentially every horrific major event since to include September 11th. You know, we actually care about getting this right. We've felt the challenges of not having the right tool sets to meet these real-world problems, and we're going to change that with the kind of products that we build here at Rock. So we're operating across four major mission areas, national security, public safety, digital identity, and physical security. And while these are different markets, they all tend to have the same underlying problem, And we built a single platform that helps them solve that. So as we move beyond providing components, you know, this is how our platform shows up commercially. You know, if you were a customer, this is what you'd see. RockWatch is our solution for video intelligence. You know, cameras are ubiquitous. They're everywhere. But most are passive. They're just there, and you look at them if something were to occur. We make those cameras intelligent with real-time analytics. The vision for this product actually came from the Boston Marathon bombing. Many of us here at ROC, we worked that case, and we would have loved to have a system like this at that time. ROC Evidence, this is our platform for digital investigations. I hired almost the entire team that built the FBI's digital evidence system. So it's designed from the ground up for how data is actually collected, preserved, and analyzed in real-world investigations. ROC ABUS, this is our national scale biometric identification platform, and it's the product I get the most excited about. I spent most of my career working to set the standards and build these types of systems. There's a large contingency within the federal government. There's 19,000 criminal justice agencies in the United States alone, and it's an international market. And we have a strong opportunity to become the dominant provider in this particular segment. And then rock and roll. This is our identity onboarding. It essentially turns a simple capture into a secure biometric identity. Rock Access is for intelligent access control. We recently won the International Security Conference Innovation Award for this particular product. But each of these products are built on the same underlying platform. It allows us not only to sell a single product, it allows us to land and expand in other areas over time. And that land-expand model, it's really core to how ROC becomes the system of record for these customers. It's really important to note, you know, we're not a startup. This is already a revenue-generating business, and we're moving toward a true recurring model. And that shift is really what's driving our long-term scalability. As we look at 23, 24, 25, four years, the key takeaway here is that the evolution of the business model, you know, government R&D contracts help us bootstrap the company, And it helped us build a lot of that technology foundation. But the real story is the growth in our product revenue, which has nearly doubled over the last two years. And we'll remain a sweetheart of the government for solving complex research problems. But those problems oftentimes, and we have clear examples of this, work their way into the operational systems where we turn those into our product capabilities. We turn our attention to Q1. We certainly felt the impact of the government shutdown and the delayed budget passage. We operated all of 2025 on a continuing resolution, which really affected procurement cycles and But despite those headwinds, product revenues remained relatively stable while RockWatch continued to gain traction with our customers. You know, our gross margins validate this model. We're operating software-level margins consistently in the 80% range, and at the same time, you know, we've intentionally invested in our growth. We were operating at the wire prior to going IPO, and the product revenue continues to That operating leverage will follow. So this is about where this goes. You know, large-scale investigations today mean, you know, massive, massive data, petabytes of data, video, evidence, identities, spread across systems, and we're talking about global populations of case data with the need to move that fast, but you still have to get it right. We unify that into this single platform that operates in real time. You know, we start with pilots, and that leads us to our initial deployments, and then we start this land-expand strategy. But as those systems prove themselves, they become something different. You know, they become something that customers rely on every day. And that's exactly how we turn these pilots into programs, into system of records, and that's how we're going to build our durable recurring revenue here at ROC. So products and platforms fundamentally change our contracts. You know, I kind of joke around to this point. Rock has got to decide that they are through a compilation of baby contracts. But really what matters here is the contract durability. You know, our largest systems, you know, we expect those to run five to ten years. That's very typical of government contracting. We operate on three- to five-year cycles with, you know, recurring usage, and that creates a bedrock of this predictable recurring revenue as we move forward. As I mentioned in the opening, you know, we grew this company organically, so we are very fiscally disciplined. That's been ingrained in us from our company inception, you know, and we deploy our capital to scale what's already working for us. You know, we're expanding our engineering teams and our customer success. You know, we're investing in what it's going to take to accelerate that time to our annual recurring revenue with increased investment into people and some of our AI infrastructure for our research team. But importantly, we're focused on long-term program growth and not any speculative initiatives. The objective here is simple. Accelerate our ability to get to ARR while maintaining the margin discipline that we need for a software company. So this is a very large market, over $100 billion with multiple segments, and we're positioned to participate, I say uniquely positioned to participate across all of those You know, earlier I mentioned three critical questions, you know, who is this, what do I know about them, and can I trust them? You know, historically, those questions, they could only be answered by going to different systems and, you know, things were just very fragmented. But we provide those answers by querying into a single platform, and that's really what's creating a fundamentally new category of capabilities. Today, there's really no other company that's bringing those kind of capabilities together the way that Roth does. And when that data comes together, it's very, very powerful. So this is a team that's already solved a lot of these problems in real-world environments, several stories I could share here. But, you know, lots of history working with the FBI, the Department of Defense, the intelligence community, and that experience is really what allows us to execute at a level that just most companies can't. We've also built a board that reflects the full set of environments we operate in also. You know, we've got leadership across the intelligence, defense, public safety, including federal agencies and law enforcement. People who operate essentially at the highest levels of national security, policing, and government. So this is a group that understands how these systems are deployed in real-world systems, mission critical environments. They've had some really prestigious responsibilities within their career. As a public company, we're well positioned to execute on this strategy. We currently have been growing consistently, and we have strong insider ownership. and that creates really tight alignment between our leadership, our shareholders, as we scale the business. So let me bring this all together before we go into some questions and answers. You know, what we're building is mission-critical AI in environments where failure is not an option. You know, we have a clear path to this durable recurring revenue through long-term programs. And we're operating with high-margin software-level economics, and we built this platform that compounds over time through this land and expand type of a model. You know, we are building that infrastructure layer for identity, intelligence, and trust. And, you know, we do intend to help make the United States the dominant provider in this field. It's an area of AI where the U.S. has fallen behind, but we see that we're able to compete today with these billion-dollar foreign leaders in this space, and we're starting to win.
So with that, I'll pause and I'll open it up for questions. Okay, I'll start with this question.
How large is the current pipeline for ROC ABUS opportunities, and what is the typical sales cycle for a national-scale biometric deployment? That's a great question. So for the pipeline for ABIS specifically, as I mentioned, this is the area that I get the most excited about. It is in the hundreds of millions of dollars. We have a total pipeline, qualified pipeline of about a half a billion dollars, and the ABIS makes up a large segment of that. You know, typically these are five-plus contract years. The reality is, though, you become very sticky as you win these contracts, and it's not uncommon to have these contracts for decades. That said, I will provide this quick anecdote. When we were competing the FBI's Next Generation Identification, which I was the technology evaluation manager for that at the FBI, It led to the two largest acquisitions ever by a DOJ entity, and they, I will say, the FBI Security Division did not want to award that to a foreign technology provider. You fast forward, became a CEO of the technology provider for that same system, and still there There was no U.S. capability to be able to displace the foreign technologies, but today there actually is. Next question, can you discuss two Department of Defense program expansions that contributed to Rockwatch growth and whether similar opportunities exist across other agencies? Yeah, you know, we operate in a space where we're not always able to talk in depth about some of our customer deployments. Certainly, Department of Defense has been our largest government customer, and RockWatch was really the only product that we were able to go to market with in 2025. We had sold components into the Department of Defense prior to that. We were able to move from components to our own product sales into the Department of Defense within 2025, and going into 2026, we're seeing that continue to expand for the Department of Defense. And that's a very similar approach that we're using across all government, as well as commercial agencies. I talk a lot about government agencies, however, there are a range of commercial agencies that we've sold components to also in the past where we've worked to try to move them into our overall platform strategy.
One moment.
How does Rock differentiate itself from larger biometric and visionary competitors when competing for federal and public safety contracts? You know, we're not going to win only because we're American. It is in today's environment that's very important, though. And we are, we do kind of stand alone in this biometric space as the only provider of all biometric modalities in this space that build the algorithms. However, it's really important that we also participate in these NIST evaluations and we prove that we can, you know, provide the best algorithms in class. And we've done exactly that. This is public information. You can go to the NIST website. You can see Rock is now winning in many of these categories, if not parity, in all these categories with the leaders in the world. And then, you know, lastly, with, you know, cost is more of a concern than it has been in the past. And we are well positioned not just to compete specifically on license price, but the cost of deploying our algorithms. The investment that agencies need to spend on hardware for our algorithms, as opposed to some of our competitors, is fundamentally different.
I'll go to the next question.
You referenced multi-year contract opportunities ranging from three to ten years. What percentage of your current pipeline fits that longer duration profile? I would say currently, I don't want to give a particular metric, but a very, very high percentage of our pipeline is what will come with multi-year, annual recurring, durable revenue. You know, as we sell components, we did get a lot of point-in-time type of contracts that did not have very large maintenance tails. We will still sell components where it makes sense to. In certain applications where it's complex integrations, where you may work with an integrator, that still makes really good business sense for us. That actually does come with good option years. But by and large, as we've shifted our strategy to a platform and a product strategy, most of our pipeline now does have a multi-year approach. With $16.6 million in cash following the IPO, what are the highest priority areas for capital deployment over the next 12 to 24 months? Well, we did a lot of that deployment early. We need to get our research team some additional hardware so they can build their algorithms faster, build them deeper, better. That investment has been completed. We'll start seeing the benefits from that investment later this year. We're also deploying a lot of capital toward the team, so mostly people resources, lots of engineers, lots of forward customer-facing engineers. We also expanded our sales staff. We had been very much an engineering-led company. We will remain that. But we did get several more business development leaders in our company as well. So as investors look ahead to 2027 and beyond, what metrics best indicate that ROC is successfully becoming embedded infrastructure rather than simply a software vendor? Okay, that's a great question. As we talk about this land and expand model, you know, we operate in a space where we're not always able to do press releases for all of our wins. And, yeah, I wish we could. We obviously had an ability to maybe make some additional announcements even this past quarter that we couldn't make just because of some of the sensitivity of the areas that we operate in. So certainly, I think we will do press releases where we can about our wins. The numbers themselves, as you look at the product growth for our revenue specifically, That will be really indicates that we have, you know, embedded ourselves within multi-year programs for our customers. And as we look, you know, forward to 2027, you know, I anticipate, you know, usually as you're proving out products, you're willing to, you know, you're looking for Cinderella partners, your Beachhead customers to get better deals. But as we scale this out, you know, I think you'll look at, you know, more repeatable type of economics between customers that we sell these products to. How much visibility do you currently have in the federal procurement activity through the September fiscal year ending funding cycle? What I'd like to say about that is that when you think about the impact of operating all of 2025 on a continuing resolution, that essentially means that you can't have any new starts within the federal government. It makes it very difficult for federal contractors to grow in that space. We still were able to grow in 2025. But then the shutdown toward the end of last year going into the beginning of this year for two months, it put a lot of pressure. The government rent operates on a fiscal year that closes September 30th, which means that they need to obligate their money by September 30th. And while DOGE did cut back on some workforce within the federal government, as you look at the budgets within the federal government, these are very, very healthy budgets. And in a lot of cases, I just heard a metric the other day that Department of Defense still doesn't have a very large percentage of the budget allocated out to the operational components. So they're going to be in a rush to get this money obligated before September 30th. So I do anticipate a lot of that will slide into Q3, those that do business with the federal government are likely to see a lot of that flowing through either to them, oftentimes this money will also go to integrators which gets the money obligated for the federal government and then those subsequent awards from integrators down to smaller companies. So I think Q3, Q4 will provide a lot of that. The kind of insights that we have, we certainly have a lot of expertise watching federal governments. We used to build them. We know a lot of the decision makers within these. We watch their public information. We understand these budget cycles quite well. It's very core to the growth of ROC to understand these budgets. Can you discuss the significance of the DEA deployment for ROC evidence and how that product fits into your long-term growth strategy? So I think digital forensics is going to be one of the largest growth sectors for ROC. I really separate digital forensics and ABUS into a category of their own with the amount of impact that we'll have to our growth. DEA was the very first one, and it started out very small with some storage capabilities of the platform, and we look to grow that to support what we build across our entire our platform to include all the analytics that we deploy in that space. We will continue throughout the year to look to grow that particular account, but also to establish our beachhead customers in this particular space for digital evidence. And really across the board for Rock, as we looked at 2025, we really only had one of our five products to market, which was RockWatch. We'll continue to grow RockWatch throughout 2026, but we will monetize each of our products throughout 2026, and we'll continue to mature those products, too, with the new resources that we'll be able to bring on.
So I don't have any more questions right now.
I really would like to thank everyone for their time, for hearing the story about Rock. and we look forward to discussing you know our progress more as the the weeks
and months to come thank you ladies and gentlemen that completes the rock presentation and you may now disconnect please consult the conference agenda for the next presenting company