Sure, we appreciate your participation in today's virtual event. Up next, we are pleased to introduce NowVertical Group Inc. If you'd like to ask a question during the webcast, you may drop them into the chat box button on the left side of your screen. Please type your question into the box and click "Send" to submit it. At this time, it is my pleasure to hand over the session to Sandeep Mendiratta, CEO at NowVertical Group Inc., who will lead the presentation. Sir, the floor is yours. Thanks very much. Good morning and good afternoon, everyone. Thanks for taking the time to learn more about NowVertical. I'm excited to be presenting our story to you all. My name is Sandeep Mendiratta, and I'm the CEO of NowVertical since January 2024. The goal that we have is to share our story with you, first of all, how we are leveraging this rapidly growing data and AI market, why our strategy is working really well, and why NowVertical is a compelling story for the investment, and it's a great opportunity right now. Going into after the disclaimers, what we do for our clients, first of all, we help our clients transform data into tangible business value with data and AI technologies. What it means, let me break it down for you. We impact the greatest assets in the organizations. Data is a very vast subject, and we impact the customer and the finance data, which are some of the greatest assets in the business. That's our specialization. That's what we transform for our clients. We translate that into tangible business value, and that's one of the key reasons why we differentiate from many of the other players and why our clients work with us. What do we mean by the tangible business value? As an example, we help The Economist, who have got the magazine across the globe, and they do the forecasting for geopolitical and economic situations. We help them increase the subscriber retention by 9% in less than 12 months. That's an example of the business value. We impact the revenue of the clients we work with. How we do that is by leveraging the scale and power of some of these greatest hyperscaler technologies like Google Cloud, Microsoft Azure, Amazon Web Services, and some of the very specific data platforms as well, like Snowflake, Qlik, and Anaplan. Those are some of the key technologies that we bring to the table, stitch them all together, deliver that business value, tangible business value to our clients by transforming the customer and finance data. That's what we do for our clients. Who we are, we are a global data and AI company, and we are making the enterprise AI possible for these large enterprises. How are we structured? We are structured and consolidated ourselves into two markets. One is the North American MEP market, and the other one is the Latin market. That's how we are structured across the globe. The technologies that we leverage, as I mentioned, Google Cloud, Microsoft Azure, Amazon Web Services, the hyperscalers, and some of the very specific data platform and data and AI technologies like Snowflake, Anaplan, which is focused on FP&A, primarily work with many of the Chief Financial Officers across the globe and their teams to implement that. Qlik is another, you know, not just a visualization tool, but a proper data platform now that has evolved over many years. What we have is a real portfolio of some great clients that we are serving across the globe. You can see certain industries that may pop out in your head, but these are some of the logos like Adobe and Palo Alto Networks in the technology sector. We have got Sky, Disney, Informer, Reed Exhibitions in the media and entertainment sector. We've got many of these logos and, you know, some of these specific industries that we serve as well. More than 100 of these enterprise clients are on our portfolio, and we will touch on some of this aspect in a minute. We are supporting our clients with 500 plus strong technologists, data and AI technologists across the globe. Just some basic information about our financials, we are not just a startup. We are a very established business that has been working for many years now with global clients and have got $37.2 million as the annualized revenue after H1 and $7.2 million as our annualized EBITDA after H1 results. Let's address the market that we are operating in. This is a rapidly growing cloud market, and every enterprise is looking to adopt the AI technologies. They are looking to spend somewhere in the range of $125 million to $175 million per annum on adopting the AI technologies and leveraging them to advance their business model and their interactions with their customers. We know this market is really big already, and in the next five years, it's going to grow at some enormous growth rate, which is 17% CAGR in the next five years. The majority of that growth is going to be influenced by data and AI technologies. One of the other things that we know for sure is the technology is there, but most of these enterprises, 74% of them, this is what the research says, 74% of these large enterprises are yet to deliver or generate meaningful ROI from these investments into the data and AI technologies. That's becoming a big challenge, a big problem for these enterprises to solve. At the same time, the expectations are also swelling. 52% of these C-suites are expecting to see the return from these investments in the next three to five years. We do believe the trajectory of AI, we are just at very early stages of this AI journey. The long-term prospects from the AI technology and how it's evolving are going to be massive. The point is the investment is there, the enterprises are ready to invest, the return is not there, but the expectations are there. Why are we not able to generate the right outcomes? We have boiled it down to three primary reasons where the complexities in these large enterprises are stemming from. One is the data complexity. One in four enterprises feel that the data that they have is way too complex for them to handle, and it's growing quite rapidly. The skill, it's not just about bringing the AI tools to the table. You need to have the right skills, which are very specific, and they are becoming more and more specialized with AI technology. You need to have those specialized skills to be able to get the right outcomes. On the top, there is a challenge of how do I keep embracing this evolving technology and the way it's growing, the pace at which it's growing, how do I embrace this technology? This is where all of these complexities are coming from, why the enterprises are not able to deliver the outcomes or the ROI, as we saw. This is the reason why businesses are turning to the trusted partners like NowVertical Group Inc. One of the statements that the CEO of Google Cloud, Thomas Kurian, made is that they want to attach all of their sales to a partner, 100% of their sales to a partner. The reason being they see the need for that specialized skills, people who really can bring in, bring the clients to the journey and deliver the outcomes to them and not just a technology. That's the market that we are operating in. How are we structured? We are built up from the ground up to deliver AI. What does that mean? On the left side, if you see, we are enabling AI. Enablement of AI comes from us structuring all of that data, modeling the data properly, making sure that the data is ready and fit for purpose to be consumed by the AI technology. That's a massive space. The way AI is going to consume the data and the breadth and the depth of data it's going to consume to really give you the right outcomes, that enablement of the AI is so critical, bigger than ever. On the right side, we apply these AI. What that means is we are bringing in this whole AI into the business processes, the interactions of the customers. We are bringing them into the marketing process, the sales process, the customer process, the digital process, the finance processes, and automating them and really bringing out the right outcomes that the enterprises are expecting to see. In terms of the results, when I talk about outcomes, which is one of our key differentiators, and that's what we focus on, I gave you the example of the economists. They were struggling to grow their revenue because their churn rate of the subscriber was very high. That's the problem statement they came to us with. What we did was, first of all, analyze everything that was happening there, analyze what kind of subscribers are churning, when are they churning, are they high value, are they low value, what kind of content are they reading, what are their different types of behavior and demographics, if you like. We gave them the right platform of the data. We gave them the right architecture. We developed the right roadmap. We then developed the right actionable insights that were infused in the marketing or the customer services operations in this case, so that we can interfere at the right time with those insights to the subscribers and be very personalized, hyper-personalized in our approach to the subscribers so that they do not churn. That's one of the big areas that we saw. That's what we did to bring in that platform together. The technologies we used were Amazon Web Services, Snowflake, Power BI, and some of the other technologies that we stitched together in this case. Some of the other KPIs that you see, NothingTail, which is a gym franchisee, we increased their customer retention by 11%. Reed Exhibitions, that's in the events space, and they are in the business of running the exhibitions and conferences. We increased their show turnout by 28%. Increased the partner attribution, which is a very specific use case in the technology sector. We increased that partner efficiency and the attribution by more than 50%. These are just some of the examples, but we have delivered business value and those business outcomes to all of these logos that you see on the right side. In terms of our revenue, 80% of our revenue comes from our solutions and services. That's the strategic part of our revenue. Just about 20% of our revenue comes from our own proprietary software and the reselling of the software as well. We leverage this 20% part, which is our software and the reselling of the software, to gain more traction on the solutions and services side, which is the strategic revenue for us, as we call it. These revenue streams and the solutions and services are categorized in advisory and consulting services, the transformation and product services, which could be spanning across three to seven years, and then the managed services. There is a lot of recurring and reoccurring revenue that we have in that solutions and services space. At the same time, the products and reselling, by the nature of it, is just similar to the SaaS revenue. It's quite recurring revenue. By geography, 78% of our revenue comes from LatAm, and 22% comes from North American MEM. The strategic part of our business, which is we call as the strategic accounts, the importance of our strategic accounts is that these are large enterprises, multi-billion dollar companies, global businesses, household names. These strategic accounts, the top 30 of these strategic accounts bring in almost $800,000 per client as revenue to us. Our average tenure in this top 30 strategic accounts, as we call them, is seven years. That's the importance of these strategic accounts in our revenue. They are core to our strategy. They are core to our revenue growth. They are core to us building the strategic growth in the future as well. Eight of our clients in 2024 have brought in more than $1 million in revenue. Not only are solutions and services high value for our clients, but these are developed over a very long period of time as well with our clients. Once we are embedded with the clients, we stay, they stay with us, and we grow with our clients. What are our tailwinds, the drivers for growth in the future? Like I said, we have got 100 plus enterprise clients. We have only been focused on 30 clients so far, but we have now identified almost 50 clients with the target addressable market of more than $2 billion just for us within those 50 enterprise accounts that we are dealing with. That's a massive headroom for us. Essentially, we don't need to win too many new clients. We just need to win a few of them and land and expand into those clients. That's our strategy, and that strategy is working really well, as I showcased on the previous slide. We are nurturing these critical technology partnerships. We are premier partners with Google Cloud. Only 3% of the partners get to that status. That basically means we get access to a lot of these high-value opportunities that are really at early stages with Google, for example. We are partners with Microsoft Azure. We are partners with Amazon Web Services, and there are some of the other specific partnerships that we are looking to develop over a period of time. These partnerships, the meaning of these partnerships to us is to build reliable revenue channels going forward and have a GTM that we can trust to bring in the revenue streams. High-value contracts, some of our solutions could be in the region of $1 million plus just within a year itself. Once we are embedded with, say, we are having conversations with the Chief Financial Officer or Chief Marketing Officer, the way we can transform their business and the processes is very high value. Once we have the revenue on the ground, we have also sorted out our scalability. We have got 500 plus consultants, as I mentioned, and these are now, we have got a very strong delivery capability within India and South Asia. That's working really well for us, and it's quite scalable. We are operating in the growth markets within the North American MEA market. We are in the U.S. and U.K., which we are, there's so much of headroom for us to grow with our sophisticated solutions. Within Latin America, it's Argentina and Brazil and the emerging markets as well in Latin America that offer us phenomenal potential to gain traction with our tech-enabled services. We have also primed our business not only for the organic growth, but for the inorganic growth as well. We grew out of 12 acquisitions in the data and AI space, and we have now consolidated our business completely. In the future, we are going to be opening up the taps for this inorganic growth. The way this organic plus inorganic growth has been enabled is by our recent transaction with HSBC that has given us $26 million, up to $26 million of the credit facility that we could utilize in very favorable terms. That enables us to really grow organically and be very aggressive on the organic as well as inorganic growth. Quick snapshot of our numbers in H1 2025. We have got $18.6 million of our revenue, very strong revenue, and the EBITDA is growing really well. It's 36% growth over the last year. $3.6 million is our EBITDA that we have delivered in H1 2025. Very interestingly, the operating income is increasing, which is another just a testament to the potential in the business and how this business is running very efficiently now. These are just some of the KPIs. We are on our way now to accelerate our organic growth quite aggressively in the next few quarters. In terms of our competitor landscape, you know, we compete with many of these top-tier consulting companies, the top four, if you like, the Accentures and the Deloittes and the EYs of the world on one side. You know, we compete with them, and a lot of times we win against them as well because we bring in our specialism, like I said, around customer and finance data, and we have some of the use cases in these marketing, sales, customer service, and finance functions that have got a lot of depth and breadth in our solutions and services. We also compete with some of the large SIs on one side. You know, you could have the Infosys and the Wipros and the Tatas of the world, but they are better on the outsourcing of some of these IT services, whereas we bring in specialized skills on the data and AI side. There are some specialized service providers that we come across in certain industries or with a particular technology. In terms of just some of the key takeaways, if you like, you know, we are experiencing significant growth. We are embedded in a rapidly growing market. We have got more than 100 enterprise clients, and we have already identified some of those clients that have demonstrated growth. We have proven that strategy is working, and now we are accelerating that strategy quite nicely. We have developed some really strong partnerships with the technology vendors like Google Cloud, Microsoft Azure, and others. We have got a very scalable delivery model that can scale to, you know, double the revenue, three times the revenue quite quickly. We have that sorted already. We are in the space of the AI where the spend is there. Enterprises are looking to experiment and transform their business model in the next few years. We believe this is very early stages. One very important factor that I would say is the management team is completely aligned with the shareholder sentiments. We own now 27% of the equity in the business. This has gone up from 7% in January 2024 to 27% now. The management team has bought their way into the business, and that includes myself as well. I own 12% of the equity in the business now. That's really aligned with the shareholder objectives, and we are completely aligned on the vision and the growth of the business as well. Thank you very much, and I open it up for any questions you have. Thank you for your wonderful presentation, Mr. Sandeep Mendiratta. As you can see, we have questions from Gianname. You can click on the Q&A container or section. The first question is, can you explain why your customers can't choose you over the competition? This goes back to our first point and why we exist in the market and how we have created our niche in the market and grown ourselves quite rapidly, which is our focus on customer and finance, which is the greatest asset in the business. We focus on that. We have built really that depth and the breadth on customer and finance use cases. We are focused on delivering business outcome. We are not just coming in to say, we know this technology and we can help you embed this technology in your environment. We focus on delivering the business outcome, which impacts the revenue of the client, which is just phenomenal for our clients. It changes the way we are perceived in those businesses as well. We have got specific technologies that we have gained so much experience on and credentials like premier partnerships with Google Cloud. That expertise over a period of time where we know how to stitch and architect this technology really well for our clients. These are the key drivers why our clients choose us. The overarching is the whole AI experience, experience of delivering successful outcomes with AI, which is what the market is looking for right now. The second question is, can you go into more details on the importance of the strategic accounts? How do you expect revenue to grow within these accounts? Very good question. This is one of the core of our strategy, which we brought in as, you know, in January 2024. We called it as one brand, one business strategy. The fundamental part of that strategy was the growth in these strategic accounts because we could identify that these are the real assets in our business that we can leverage to expand and grow these strategic accounts. This is exactly what we have been doing, and I demonstrated that with the KPI that within the top 30 clients we have, which is a very low-risk concentration of the accounts, by the way, we have got an average revenue of $800,000 per client in that top 30 accounts, which is really phenomenal and a great asset, in my opinion. At the same time, we have got seven plus years of the average tenure in that top 30 clients. The importance of these strategic accounts is really high for us. We have grown these strategic accounts, having only 45% of our revenue coming from these strategic accounts in 2023 to 70% of our revenue now coming from these strategic accounts. We are absolutely excited about the evidence that we have now put on the table about the significance of these strategic accounts and the potential of growth we could have. You can expect to see more and more of our revenue coming from these strategic accounts going forward as well. The third question is, can you dive deeper into the AI market and discuss what trends are you seeing? How bullish are you on the long-term prospects? Very bullish on the long-term prospects, and that's the right term to use here. It may be AI may have been perceived that in the short term, it's not really delivering those results. I shared that research as well. 74% of these enterprises are not getting the ROI. It's not the problem of the AI technology. It's the problem of how you apply, how you bring in the right experience, what kind of methods you bring to the table, and do you have the right ingredients being, you know, have you handled the data complexities well? Have you handled the AI technology? Do you know how to embrace that technology properly? We have solved this problem multiple times. I think the prospects long-term of the AI market is phenomenal. We are going to be all surrounded by the AI technology. This is for the very first time that there is a technology in our experience and, you know, decades of the evolution in the technology. This is the technology that is going to impact every part of the business. It's not just one part like CRM. It's not just one part like ERP or just not one part like digital assets of your business. This is going to impact your business model, the products, and the services that you offer to your customers. It's going to change the way you operate. It's going to change the business processes that you have got. It's going to change everything that we do. Some industries are embracing it faster than others. You will see how some of these disruptive companies are going to be popping up in every industry in the near future. We are very bullish, and we feel this is such a massive opportunity, and it's very difficult to even quantify at this point in time how big it could get for businesses like NowVertical Group Inc. Those were the three questions I had. That brings us to the end of our presentation. Thank you very much. Thank you. Thanks for joining. Thank you. This is the end of the Sandeep Mendiratta session. Thank you for everyone joining here today. Thank you, Mr. Sandeep. Thank you. That concludes NowVertical Group Inc.'s presentation. You may now disconnect. For details on upcoming presentations, please refer to the conference agenda. Thank you for your participation, and we look forward to welcoming you to the next session.