CXApp Inc.

Greetings. Welcome to the CX App First Quarter 2025 Earnings Call. At this time, all participants are in a listen-only mode. Please note, to ask a question, please click on the Ask Question button on the left side of your player. Type in your question and hit Send. If anyone should require operator assistance during the conference, please press star zero on your telephone keypad. Please note, this conference is being recorded. I will now turn the conference over to your host, Karam Shaikh. Chairman and CEO, you may begin.

Thank you, operator. Good afternoon, everybody. I'm joined by our CFO, Joy Canugo, as well, on this call, and we are both excited to share with you our earnings for the first quarter of 2025. We will also provide an overall business update on our progress in shaping the future of work and creating transformative employee experiences with our state-of-the-art CXAI, pronounced sky, platform. By now, everyone should have access to our earnings PR announcement, as well as the 10Q that we are filing with the SEC. This information will also be found on our website, www.cxapp.com or www.cxai.ai. I'm going to go through the next couple of slides, which are the disclaimer slides, which you can read at your own leisure. okay dear shareholders the sky platform anchored on customer experience cx and artificial intelligence ai is the most advanced technology solution transforming people places and things in the workplace we are solving the biggest problems in our industry post the pandemic the return to office rto and employee engagement and as we've been saying since the start of of the company post IPO that we are shaping the future work. The start of 2025 has been very interesting. Technology giants like Amazon, Salesforce, and Dell have called all employees of specific teams back to the office five days a week, which has reignited conversation about how and where people can best do their work. Even companies that don't have a five-day RTO plan see their leadership wanting employees to spend more time together. co-founder of Google, said the company could lead the industry in artificial general intelligence when machines match or become smarter than humans if employees just worked harder. He said in a memo that was viewed by the New York Times, I recommend being in the office at least every weekday. He added that 60 hours a week is the sweet spot of productivity. In the message to employees who work on Gemini, Google's lineup of AI models and applications. As leaders, we see firsthand that the workplace is undergoing one of the most significant transformations in decades. Hybrid work is in the trend. It's the new operating model, and the stakes are really high. And yet, many organizations are still trying to manage it with legacy and disconnected systems. The reality is clear. Mandates alone won't bring employees back. Spaces alone won't foster collaboration. Amenities alone won't guarantee engagement. The organizations that will thrive are those that rethink the workplace experience fundamentally and holistically to meet new expectations and business needs. Business leaders like Amazon CEO Andy Jassy say that in-office work offers a level of energy, collaboration, and speed that is missing when employees work from home. Executives at Dell echo this in a memo calling all sales staff back to the office full-time stating, all data shows that sales teams are more productive when on-site. Similarly, although leadership at Microsoft and Google have ruled out five-day RTO mandates anytime soon, the productivity caveat is hard to ignore. In a hybrid world, yesterday's solutions create today's gaps. Conference rooms sit empty while desk neighborhoods overflow, and no one knows why, underutilized spaces. Leaders lack real-time visibility into how people work, collaborate, and engage disconnected leadership. Without intuitive, seamless experiences, employees feel friction, leading to disengagement, quiet quitting, or attrition, employee frustration. And the root of it is a lack of actionable insights. We can't manage what we can't see. Leaders need systems that don't just connect devices. They need to connect people to meaningful experiences using intelligent insights to optimize space based on real users' patterns, personalize the employee journey in real time, anticipate needs instead of reacting to frustrations. And that's what Sky does, and we do it with the Gentech AI. So we are Sky. We're shaping the future of work, and we're excited to share with you the progress we made in our journey. So I'll go to the next slide to talk about the company. I do that every quarter because I want to make sure we give you updates that allow you to see what progress we're making. And there are a lot of common things still. We are still headquartered in San Francisco Bay Area. We're regional tech hubs globally. The global presence and diversity of experience gives us a leading edge as we shape the future of work everywhere. Of the 70 plus team members of Sky, more than 70% are engineers, and we have doubled the staff in Silicon Valley focused on building agentic AI solutions and maintaining our technology and product leadership. We believe the employees are the center of this multi-billion dollar growing workplace experiences market, and we are creating a new category in software employee experiences. The Sky platform is based on 39 filed patents, with 17 of them already granted. This substantial intellectual property not only establishes our company as a technological frontrunner, but also secures our position as a pioneer in the industry. We have two new patents published this quarter. Both are tied to spatial intelligence, which we'll talk about later as we're investing in that technology. We're proud to have some of the largest logos of the world as our customers. that are at the leading edge of the employee experience transformation, and our focus is the technology. The technology is the transformation factor. One of the key differentiators of our business is that we have strong security and compliance credentials globally. We have both ISO 27001 and SOC 2 compliance certifications, and that is the reason why you see so many logos from regulated industries. They use Sky because they know they can trust us with their data and their enterprise security goals. As I mentioned earlier, we have a global team. The team is located in the Bay Area, in Canada, Toronto, and in Manila with other contracted workers globally. And the reason for that is also to leverage the fact that we are deployed right now in with the small scale we're at in 200 plus cities in 50 plus countries in five continents. That gives us the diversity of experiences, relationships, as well as users. And the users is a key part of this equation as we move forward. We also, in the last year, built a culture of sky that innovation focused with three core values, purpose, passion, and positivity. We are passionate about solving the big problem in the future work using AI, and we are super positive about creating a new paradigm of digital transformation of the enterprise focused on employee experiences. Our large enterprise customers are mainly divided into the following top five verticals, financial services, technology, media and entertainment, health care and consumer. We are proud to have some of the largest logos on the world as our customers that are the leading edge of workplace transformation. And when you talk to our clients, they're all at the C-level. They're CIOs, they're head of workplace experiences, they're CHROs, and some of them are actually the CEOs of these companies that have taken upon themselves to drive this transformation. So we're super excited to work with them. And these customers are sophisticated buyers of technology solutions and do not compromise on quality, performance, security, reliability, scalability, and actually the technology roadmap. So as I think about 2025 and we, the management team and the board start to build our 2025 plan, we said, what are the top three priorities for 2025? And we've got a lot on our plate, a lot of things we can do. But the one most important thing is customer success. And customer success is not just about getting customer contracts, but really about user engagement and adoption. We see that we are focused on the day in the life of a user at these large clients and how those user experiences will make them more productive, save time, and engage with their fellow employees. So for us, we're working on great features that are must-have features. We already have a lot of them in place. but we're constantly evolving that technology roadmap. And more importantly, we're getting this immersive engagement with these employees who want to use Sky every day, all the time, on all the things that matter for their work. Now, how do you make that all happen? Well, there's a lot of solutions out there in the marketplace that have not been successful. I mentioned at the start about the disconnected systems, but we're building an agentic AI solution. The agentic AI is going to be the way humans interact and collaborate with AI is a dramatic leap forward for the agentic AI. The agentic AI system understands what the goal or vision of the user is and the context of the problem they are trying to solve, and then it takes actions to solve the problem, which is just assistance. Design thinking into the journey of a user will drive the day in the life of a user into actionable outcomes. So that's what we're doing. We're building automated workflows. You'll see some examples that I'll show today of some of the progress we've made. We saw it in the last quarter when I showed you the agentic booking example. And more importantly, we're trying to build a platform that becomes a trusted advisor for our customers. And our customers are not just our large enterprise. It is the end user, the employees at these large companies. And last but not least, the big differentiation that we provide is spatial intelligence, providing those contextual insights using our 2D and 3D technologies as well as our AI-based application platform to allow for AI powered actions and predictable outcomes. It's really focused on analytics that will provide more value to the end user. So from a big picture, when we think about 2025, we focus the engineering team on driving these key initiatives, technology and ultimately our sales and customer success team are driving that user adoption and user engagement, which we think is going to make this product so sticky that it will be indispensable for the employees. So let me talk about what are those employee experiences and what makes it really distinguished. So when we think about employee experiences, the first thing that comes to mind is, you know, what is the platform that you built and how you built it? Right. And, uh, the side platform is we've talked about is AI native is the first mobile and cloud based technology platform in the space. We've thought about it from the end user is not just an application, but a platform. and we think about the three different pillars that make up the Sky platform. One pillar is the Sky apps. The Sky apps are based on Android, iOS, and web applications, but we're building them to be not only multi-US, but also multi-device, all the way from your watch to your smartphone to your laptop to your desktop, and also to kiosks and larger devices. And we've got that now in place with a lot of our clients. Now, in order to make this application intelligent and smart, we've got to have a rule engine. We've got to have something that provides content and provides access control and decision. That's the brains of our system. That's the Sky BTS. And then coming out of this are all the great insights and analytics and recommendations. That's Skyview, our analytics platform. So this trifecta creates that end-to-end platform that provides the best-in-class employee experiences. And with our partnership with our cloud providers, As you know, we've had a great relationship with Google for a number of years. We are a strategic partner at Google, but we have signed agreements with both Microsoft and Azure platform, which we've deployed, and with AWS. We're planning to work with them on a deployment. But we are multi-cloud, and we are enabling the capability from the device to the cloud for our clients. So our clients use us as the, you could call it the Intel inside for their application, or you could call it the Apple outside, but we are providing the end-to-end application that our clients use, but they're using their own branding, their own, you know, content to drive it. But we're inside priming the brains behind the solution. So with that platform in mind, you can say, well, you've got a great technology. What problem are you solving? And so I'm going to share a slide that our friends at Gartner put together. They did an assessment of What is the motivation to return to office? And, you know, return to office is one of the biggest issues of our century, I would say. Every single enterprise globally is looking to find solutions for the digital workplace and workforce. Both leaders of enterprises and employees are navigating uncharted waters related to hybrid work in the post-pandemic and encountering significant challenges. Companies C-Suite want employees back in the office to be more productive, engaged in the corporate environment, and better utilize the workspace. Employees, on the other hand, want flexibility to work from their home or the office and have a high expectation when it comes to having easy access to their workplace tools, finding information, and ability to collaborate with peers from anywhere. So if you look at this chart, it's kind of obvious that employees, why do employees want to come back? They're not just coming back because it's a mandate. They're coming back because they want to reconnect with their and collaborate with their fellow employees. They want to have face time with their senior leaders. They want to be able to connect with their environment and their colleagues. That is the real reason why they want to come back or they have a desire to come back. And we need a solution to that. And that is where we have built this end-to-end platform. I'm going to give you a little bit more detail on it. On the left, you'll see the immersive UI that we have that has one click away to make an action. You have a very immersive UI mapping technology capability that allows you to connect inside the building to any place, any location, navigate, as well as click on to book things and drive engagement. But end-to-end, we provide this full solution. The key part of the application is all these integrations that we do with the enterprise tools and services into one application platform, allowing employees one seamless experience to connect anything they do in their workplace. We also do that with 2D and 3D mapping technologies enhanced by AI to provide intelligent interactions with spaces and things. And like I mentioned, the Sky View is the experiential analytics that provides you insights about what needs to get done and how and how would you make it happen. So, and then finally, to top it off, is Agenda Guide, automating all these workflows to provide, you know, with natural language commands, a trustful domain so you can provide any question you have, you get an answer. Any action you want, you get it done. Any meeting you want to change, any booking you want to redo, anything you want to connect with multiple folks from outside, inside the organization, we're going to do that with a Gen2KI. The first three pillars are deployed with global customers today. I'm proud to say we are the best in class. What I'm more excited about is Gen2KI because that's going to be groundbreaking and transformational to the whole workplace. So let me talk about, you know, what do people do when they come back to the office? What are the main things they like doing? And this is another Gartner chart. So it's not just from what we see. We'll show you what we see, but this is what Gartner collected the data from lots of different vendors in the space and as well as clients. And you know, the biggest issue when you want to come back to the offices, can I find a space where I can sit? Can I get a desk? Can I get a meeting room? Can I connect with all the people that are in the office? Can I do any coordination collaboration? And, With AI, can I have a virtual assistant that can actually help me get my stuff done? All those things have an increased demand. And as I said earlier, with the start of 2025, there has been a renewed interest because there are mandates that are driving it. But also, I think there's interest among the younger generation to be more social, to be more connected with their workplace. So I'm going to show you, so what do we see at Sky? You know, we've been working with all these clients. We have you know, more than a million plus users globally out there that use our product. And when you think about, you know, actually I skipped a slide early. Let me go back to slide 12 here that talks about space utilization analytics. The biggest problem is space, right, initially in these markets because you've got to think about how you can utilize the space. So this example shows you desk bookings. We can show you how desks were booked, whether they were booked in advance, how far in advance were they booked. And what is the booking ratio? And what is the cancellation ratio? A lot of interesting statistics and then the insights that come out of it. It's very obvious people are coming mostly on Tuesday, Wednesday, and Thursday. Mondays is kind of coming back a little bit, but mostly Tuesday, Wednesday, Thursday, and it drops out very quickly on a Friday. But then it's interesting to see that even with this planning capability, there's a lot of just-in-time booking, like people are booking within the hour to get a desk or a room and we've been able to connect with their fellow employees or with a set of meeting so just having that mobile connectivity and this is why our sky kiosk having at the front of your office so you can walk in click one button and get a desk click a button get a room and click a button and know where your colleagues at is immensely useful and this is where a lot of people are trying to use that technology and capability as their buildings return to office initiative. Because without that technology, people are lost, people don't know what to do, and people get disorganized. So this is super interesting. And as you can see the data here, there's a lot of activity happening, a lot of usage happening with location because people do need spaces. And spaces is the primary factor for this market initially. But as people get used to being in the space, working with the space, they also need to connect with their fellow employees, also need to connect with their internal systems and be able to be productive. So one of the key features, this is a chart showing the usage of our product at different days of different applications. Where do they go in the app? You'll see a small purple knob here showing colleague booking. which has become immensely useful now because if I come in the office next week on a Tuesday, it would be great that my friend Jack is there and my other mentor, John, is going to be there as well. And so I will actually try to be there. So colleague booking and visibility has become a key feature that we've enabled across our client base. It's super successful, super useful. You've got to enable your privacy, but a lot of people enable that and allow you to see their calendar and where they're at. Those kind of features are driving more app utilization and usage analytics. It also shows behavior, and we can show behavior, app interaction, not only on a daily basis, but on an hourly basis. And every single interaction you do, we can document it, we can show the day-in-the-life of the user as they progress through their work life. We can also show you location-based. As you can show in the lower chart, people in one part of the world are really active, whereas other parts of the world, people are not active on the app. There may be reasons because they need desk booking more, or they don't have a need for desk booking, or they don't have a need for the app itself. But our job is to provide the toolkit and capability, and we find that different use cases are useful for different places. So this one, I want to give you a flavor of the progress we're making in terms of having the technology available, but also the insights now. And collecting this data has been super useful for us because this drives our product roadmap, this drives our innovation cycle, and this drives actually our engagement with our clients. They love the fact that we have these data sources and fusion of the data of what they're seeing from the employees, but also from the things and the places. It provides really amazing insights, and I'll show you an example what we can do with AI now with that. So the next one, this is all great charts, great data, but what could I do more with this with AI? What could I provide insights that would be mind-boggling? Well, I'm going to give you an example here of our Skyview Smart Expert, and it's going to show you that, as an example, I don't want to go through 500 charts. I would like to ask a question. I'm the person responsible for return to office. I want to see the booking counts before and after the four-day RTO policy came in. Or I am a space development person. I want to know how many deaths were utilized and which deaths were utilized more than others over the past three months. And if I'm the HR person, I want to see how frequently people are using the app or doing what kind of sessions they're doing, what kind of things they're interested in. And then if I'm figuring out what office space needs to be in different locations, I want to see what the patterns are. It's a lot of questions in my mind, right? And I don't want to go through a big BI tool that spends hours going through data sets and then figuring out what it is. I want to ask a question. So we're going to show you some of you, ask a question, get an answer. I probably made it slow so that we can move, we can show the results. So here you'll see a chart that shows bookings. It looks flat across the whole timeframe, but the insights are inside it. The insights are what is changing? Well, in this case, desk bookings were significantly higher than room bookings and parking reservations were even higher. So it shows a strong preference for individual workspaces. Similarly, what desks are more utilized than others? And then, you know, can you show me some regional preferences, location preferences? We can show you a heat map. So a heat map that shows that people would like to be near sunlight or would like to be in a quiet zone or where they would think that amenities are close by. So those are spatial insights. With our technology and our capability and our application platform, we can provide those insights. And that's what gets people very excited. Example, is the 4-day RTO policy influencing booking patents? Well, we can figure out what days bookings were higher and what days people were coming in or not. What are the peak days? As I mentioned earlier, we see, you know, Tuesday, Wednesday, Thursday is the highest, but then there's more insights underneath that. But more importantly, once you have all this data and you see all these interesting insights, you can also then do forecasting and start providing regular updates and regular models to do predictive analytics. That's the Holy Grail if you feel, because with these data sets, you can actually organize not only your organization, but your culture. And that's where we're really excited about using this capability to enhance the user experience. So let me talk about agentic AI. And, you know, as we said earlier, agentic is, being our focus from the start. We're not about providing AI just for the sake of AI, but really collaborative AI agents that allow you to take multiple workflows and provide really amazing insights. So to achieve, this is a Gartner show, by the way, that shows how agentic AI is progressing. As you know, it used to be AI assistants and copilots, but now we're talking about collaborative AI agents that take multiple workflows and allow them to come together to provide actionable outcomes. So to provide this level of autonomous decision-making and action, agentic AI relies on a complex ensemble of different machine learning, natural language processing, and automation technologies. And, you know, agentic AI focuses on completing actions and outcomes versus just assistance, like a trusted advisor that is proactive, insightful, and acts to solve problems. So I'm going to show you an example. Last quarter I showed you the agentic booking. We've been working on lots of different use cases. I'm going to show you an example of A genetic workshop, you know, a lot of our clients are talking about having to set up events or workshops within their community or their office environment, and they have to do a lot of coordination. They like to, you know, not only be able to book a place, find the right people to come, but also invite visitors as well as regular employees and then also order food. How can you do that? And I'm going to show you how we can do that in a New York Minute here.

Thank you so much everyone.