Greetings and welcome to the Helport AI FY 2024 Financial Results and Business Update conference call. At this time, all participants are in a listen-only mode. A question-and-answer session will follow the formal presentation. As a reminder, this conference is being recorded. I would now like to hand the call over to Alyssa Gale, Helport AI's Sales Manager. Alyssa. Thank you, Operator. Before we begin the formal presentation, I would like to remind everyone that statements made on the call and webcast may include predictions, estimates, or other information that might be considered forward-looking. While these forward-looking statements represent our current judgment on what the future holds, they are subject to risks and uncertainties that could cause actual results to differ materially. You are cautioned not to place undue reliance on these forward-looking statements, which reflect our opinions only as of the date of this presentation. Please keep in mind that we are not obligating ourselves to revise or publicly release the results of any revision to these forward-looking statements in light of any new information or future events. Throughout today's discussion, we will attempt to present some important factors relating to our business that may affect our predictions. You should also review our most recent Form 20-F for a more complete discussion of these factors and other risks, particularly under the heading "Risk Factors." Your hosts today, Guanghai Li, Chief Executive Officer, and Tao Ke, Chief Financial Officer, will present results of operations for the fiscal year ended June 30th, 2024. A press release detailing these results was issued November 1st, 2024, and is available in the Investor Relations section of our company's website, ir.helport.ai. At this time, I will turn the call over to Helport AI Chief Executive Officer, Guanghai Li. Thank you, Alyssa, and good afternoon, everyone. It's a great honor to welcome you to today's FY 2024 Financial Results and Business Update conference call. Helport AI is an AI technology company committed to empowering customer communications with intelligent software and services. As our mission states, "Empower everyone to work as an expert." We do not replace humans; instead, we use AI to enhance human capabilities. Compared to many other AI companies, I'd like to highlight four of our unique strengths. First, among numerous AI companies globally, I'm proud to say that Helport AI is among the few that have achieved consistent profitability and sustained growth. Secondly, compared to many technology companies that are struggling to find a good product and business model, our mature AI software has been recognized by dozens of enterprises across banking, insurance, mortgage, and other industries. Today, we are privileged to serve over 30,000 paying users around the world. Thirdly, we have a robust AI operation and training team, which enables us to deploy our software quickly, with high productivity and low cost, and furthermore, we can provide AI plus BPO services to assist our clients in completing their job, and lastly, we are particularly strong in helping clients enhance sales performance through improved customer communications, even though we can also do well in reducing cost of customer service. Now, let's look at our flagship software, Helport AI Assist, which offers real-time speech guidance and a suite of essential features for high-performance customer communications. We pride ourselves on our mature industrial software that supports a large user volume, operates with low latency, and at low cost. In addition, our unique AI plus BPO model seamlessly blends AI capabilities with customer contact process outsourcing. Leveraging our AI software and the global network of BPO partners, this service model is designed to help clients enhance sales performance while minimizing cost. With 24-hour and 7-day-a-week supporting and multilingual capabilities across various regions, we believe this result-oriented approach offers a distinctive model that sets us apart from most other AI companies in the market. Our core technological advantages are reflected in four key areas: technology-based construction, gateways, AI voice, and operational know-how. Together, these technologies reinforce the unique competitive advantages I just mentioned earlier. For example, our knowledge-based technology, leveraging large language models and combined with our operational know-how, can significantly enhance the efficiency of both knowledge base construction and AI training, resulting in substantial cost and time savings for our client. With regard to our business landscape, currently, our business has a global footprint already, with significant operations in North America, Southeast Asia, and China. We cater to clients across a range of industries, particularly in banking, insurance, mortgage, wealth management, real estate, and public services. Looking at our market potential, Helport AI is strategically positioned within some of the world's largest and most promising markets. Take North America, for example. It's the home to over 2 million real estate agents, 500,000 insurance professionals, and 300,000 mortgage brokers, all of whom represent potential users of our software and services. Especially, the adoption rate of AI in customer communications is still very, very low in these sectors, which is offering us a substantial growth potential. Now, let's dive into our growth strategy. Firstly, we will continue to invest in enhancing our AI assistant software, particularly to incorporate more large language model technologies, further boost AI operational efficiency, and launch more industry-specific versions of our software. Secondly, we will accelerate the expansion of our AI plus BPO business. On one hand, we will expand our network of BPO partners around the world, and on the other hand, we will build strong in-house capabilities to enhance high quality and productivity. Thirdly, we are developing the Helport AI Developer Ecosystem, HDE. So HDE provides an accessible interface, enabling third-party developers to effortlessly construct mobile applications leveraging our proprietary technology, tools, knowledge bases, and algorithms. This initiative aims to attract top talents around the world and to serve a significantly large number of clients across a broader range of industries and scenarios. In conclusion, our growth strategy encompasses focusing on the largest regional and vertical markets, forming more strategic partnerships, and increasing R&D investment, and enhancing AI operations and training capabilities to support sustainable and scaled growth. Thank you for your attention. I will now pass it over to our CFO, Tao, for our financial overview. Thank you, Guanghai. Now, let me walk you through our financial performance of FY 2024. First of all, our top-line performance. We are pleased to report that Helport AI achieved significant revenue growth this year. Our top-line revenue reached $29.6 million, representing an impressive year-over-year growth of 132%. This growth was primarily driven by our SaaS solutions and the rapid expansion of our core customer base. Now, look at the bottom-line performance. We recorded a net profit of $7.4 million, with a profit margin of 25%. This is reflective of our scalable SaaS model and the operational efficiency achieved through our ongoing core business. Why we continue to invest in innovation and partnership? We've maintained a disciplined approach to managing cost, which has allowed us to deliver strong profitability. Looking ahead, sustainability is the key to maintaining our momentum. We are adopting a measured approach as we scale in the U.S. and other markets, with a focus on long-term profitability. Our diverse range of technologies, combined with our ongoing expansion into new industries and steady progress in each of the markets, position us well for stable growth for FY 2025, which is a crucial year for us to establish the foundation in the global market, especially the U.S. As highlighted by Guanghai earlier, we already have our early breakthrough in mortgage loans, insurance, wealth management, real estate, as well as our strategic partnership with Google and our first joint success case with eWorld Enterprise Solutions in Hawaii DHS, further illustrating our mission of empowering everyone to work as an expert, with almost unlimited growth potential ahead of us. Now, turn to the forecast for FY 2025. Based on the past three-year financials listed out here, we expect our revenue to grow by 25%, driven by the full impact of our new partnership and extended U.S. presence. We also anticipate our profitability to continue to improve as we continue to refine our product offerings and enhance operational efficiencies. In line with this, we will continue to prioritize our R&D investment, particularly in the development of HDE, to support long-term innovation and expansion. Now, I will pass it back to Guanghai for closing remarks. Yeah, thanks, Tao. In closing, Helport AI is well-positioned for continued growth. We've built a strong foundation with our AI-driven solutions, and our strategic initiatives have set the stage for greater global impact. As we enter fiscal year 2025, we remain focused on driving value for our clients, our partners, and our shareholders. Thank you to our entire team for their dedication, and to our investors for your continued trust in Helport AI. We'll now open the floor for questions. Thank you. At this time, the floor is open for questions. If you would like to ask a question, please press star one on your telephone keypad. If at any point your question is answered, you may remove yourself from the queue by pressing star two. Again, to ask a question, please press star one at this time. We'll pause just a moment to allow questions to queue. And once again, that's star one to ask a question. Our first question will come from Mike Latimore with Northland Capital Markets. Please go ahead, sir. All right, great. Thanks very much. Good afternoon, and congrats on the strong results and the first earnings call here. So, technology is very interesting, and some interesting use cases there. C an you explain maybe a little bit more how you differentiate your AI assistant? There's a lot of companies that highlight doing AI or digital assistants or copilots. Maybe just help us frame a little bit how you differentiate yours specifically. Yes, thank you for your question. Yes, we do have some unique strengths. F irst, unlike many other technology companies, which are still searching for the right product market fit, actually, our mature AI software has already earned the trust endorsement of many enterprises across key sectors like banking and insurance, as I mentioned. So, we are proud to report that today we serve a community of over 30,000 paying users, which highlights a very strong market demand for our solutions. T hat's one strength. Our second strength is our operational strength, which lies in a highly capable AI operations and training team. This allows us to roll out our software swiftly and with remarkable efficiency, maintaining high productivity levels and at a low cost for our client, which is a key driver of our competitive advantage. Third, where we excel is empowering our client to significantly enhance sales performance by improving customer communications. Or in short, we focus more on improving sales for our client than reducing cost. M any other similar competitors claim their solution to work across many, many different scenarios, including inbound customer service and outbound costs. Actually, we have a more focused strategy with actually focusing on sales more than cost reduction. T his strategic focus enables us to deliver a greater impact where it's needed most in the market. O ur first differentiation can be found in our unique knowledge base, which combines both large language models and the small language models. So, this combination not only ensures the accuracy and the completeness of AI-generated content, but also maintains efficiency, cost-effectiveness, and real-time responsiveness. Thank you. Great. That makes sense, and one of the things we hear about with large language models is hallucinations or giving inaccurate information. Does your software help to, or how does your software help to address that issue? Yes. As I mentioned, our strategy is to combine small language models and large language models. Large language models tend to have hallucinations and cannot ensure consistency in generated content. So, we use a small language model, which is based on knowledge base, actually, to ensure accuracy and completeness of the content. Yeah, makes sense. Thank you. J ust last one for me. You mentioned Google. Can you just elaborate a little bit more on how you work with Google? Is it a channel partner, a technology partner? I t almost feels like you might even compete with them in some situations. Actually, we don't compete with companies like Google or Microsoft. Just take Google as an example, right? We are partners. We are not competitors. They are a platform company. They offer a large range of support to companies like us, including the AI software and the storage capabilities and the calculation capabilities. So, they are more like a channel partner. B y putting our product in the Google Marketplace, we have got the potential to reach out to all the global clients of Google. B y leveraging their platform as a channel, we significantly enlarge our market reach. O f course, we work together to integrate our software with Google technologies so we can provide the client with more integrated solutions. Thank you. Great. Thank you very much. Best of luck this year Thank you again. If you would like to ask a question, please press star one at this time. We'll pause just a moment to allow any further questions to queue, and at this time, I'm showing no further questions in queue. At this time, I will turn the call over to Larry Holub with some webcast Q&A. Our first webcast question asked, how does Helport AI's assistant differ from similar products offered by other companies, and what are its strengths and weaknesses? Yeah. T his is just an answer. Let me just quickly summarize, right? We have four differentiated competitive advantages. One is we have a mature product compared to many other players. They are still struggling for a mature product. So, that's one thing. Secondly, we focus on outbound sales more than cost reduction for inbound customer service so we can have a more focused strategy to serve our clients to achieve a large value, particularly in sales and revenue. T hirdly, Helport AI, we have a very unique and strong operational capability in knowledge-based construction and AI training, which enables us to deploy our product and train our software at a very high productivity and low cost for our client. Our next question asked, in the company's products, how is AI technology specifically applied? Yeah. Let me answer this. I n our product, AI technology is applied across several key areas. One is knowledge-based construction and operations. O ur system leverages AI operations, research, and real-time communications technologies to build and operate industry-specific knowledge bases. T his allows us to quickly create customized knowledge base tailored to client business scenarios, which can be easily updated and iterated. T his adaptability aims to help our AI solutions remain current and aligned with changing business needs of our clients and customers. P articularly, a large language model is deeply used in knowledge-based construction. Second area is AI voice technology. T he AI voice technology is the core focus for our software. T his includes speech recognition and conversion, semantic understanding and analysis, voice synthesis and generation, and emotional analysis and recognition. T hese applications demonstrate how Helport AI uses artificial intelligence, especially in small language model and large language model mixing, and in our product and service offering designed to enhance efficiency, adaptability, and customer satisfaction. Thank you. Our next question asks, what impact does the rapid development and innovation in large model technology have on the company? Yes. Large language model offers us a very great opportunity. So far, we have successfully integrated a large language model across our knowledge-based operation, which helps us to achieve over 80% improvement in the efficiency of building and maintaining our knowledge base. T his allows us to deliver information faster and more accurately to our users. So, that's one. S econd is leveraging large language model technology. We have introduced some new product features, such as automated summaries of customer calls. So, this enhancement allows customer service agent and the salesperson to quickly capture key points from each interaction, which improves productivity and ensures a seamless follow-up process in their customer engagement. T hirdly, in cases where knowledge base doesn't provide a direct answer in many cases, and with controlled parameters, we can utilize large language model to generate real-time suggestions, real-time content for our users. This functionality enhances the agent's ability to respond more effectively to customer inquiries and even in unfamiliar scenarios. I n summary, a large language model technology has significantly advanced our product capabilities. While there are still challenges associated with large language models, for example, the occasional inaccuracies and inconsistencies, this does not deter us from expanding its application. W e continue to invest in leveraging large language model technology to push the boundaries of what our solutions can achieve for our customers. Thank you. Our next question asks, what are the company's R&D plans for the next one to three years, and how do these R&D plans align with the company's strategic development? Yeah. In the next one to three years, we anticipate that Helport R&D effort will be anchored around three key strategy pillars, each aligning closely with our growth mission and our aim to drive industry impact. First, we plan to incorporate more large language model technology, as I just mentioned, so expanding our use of large language models will enable us to enhance the sophistication and adaptability of our AI solutions, ensuring they deliver even more value across various applications. Our second focus is on further boosting the efficiency of AI operations and AI training, so this work will enable us to deploy updates faster, improve the learning curve of our AI, and ultimately provide a more powerful and cost-effective solution for our client, so this is our very differentiated competitive advantage compared to many other unicorns of AI technology. Thirdly, we are committed to launch more industry-specific versions of our software. These are tailored to the unique requirement of different sectors and different clients. This includes introducing a mobile version to increase accessibility and reach for clients who need flexible solutions on the go. Additionally, we are developing the Helport AI developer ecosystem, as I also mentioned, which this is called HDE. HDE is designed as an accessible platform for third-party developers offering tools, knowledge databases, algorithms, and our proprietary technology. Through HDE developers, particularly third-party developers, will be able to build their own applications by leveraging our AI capabilities. This platform aims to attract top talents worldwide and enable us to expand our customer base, reaching more clients across a wide range of industries and scenarios. Thank you. Our next question asks: We noticed that unlike in the pre-IPO materials, the company introduced AI plus BPO services in this annual report. What is the business rationale behind this, and will you be turning into a BPO company? Yeah, that's a great question to ask. F irst, I'd like to clarify, we are a technology company. We are an artificial intelligence technology company. So, we are not a BPO company, and we will not turn into a BPO company. E ven we are offering AI plus BPO service, these are not a traditional BPO. Right? These are not a traditional BPO process outsourcing. Actually, our AI plus BPO service model is very distinctive from this traditional model. O urs is a next-generation AI BPO model supported by robust operational capabilities. I think that this is a more accurate definition. So, we launched our AI plus BPO service for two key reasons that align with both customer needs and our competitive strength. I n terms of meeting customer demand, so our clients are not simply looking to purchase software, actually. They are seeking measurable business outcomes. M any companies prefer to invest in services that include the people and expertise needed to perform tasks more effectively and at a lower cost. F or them, simply buying software isn't enough to achieve their goals. B y integrating AI with BPO, we meet this demand by delivering comprehensive solutions that drive real impact. T his is a very real and very big market demand for this outcome rather than merely software. S econdly, if you look at our differentiation, as I keep mentioning, right, we have a unique capability in operations and AI training. B y combining our AI software with our operational expertise, we can deploy AI software much faster and train the AI more effectively and ensure to deliver value efficiently. T his capability allows us to bring faster and greater value to our client, something that many other AI-only companies are struggling to match due to their limited operational resources. I n summary, our AI plus BPO model aligns with what customers want and leverages our strengths to set us apart from the market. Thank you. Our next question asks, what is the company's business strategy for the North American market, and what is the progress of the business there? Yeah. North America represents the largest customer contact market globally and has a very strong demand for AI assistance software in customer communications. T his market and the regions also have a high payment capacity, and the companies fully embrace the SaaS model. Ma ke it a very ideal foundation for our scalable and rapid growth. Our strategy to capitalize on this market opportunity includes three primary components. First, actually, we have a very clear vertical focus. We focus on large-scale, high-need sectors. W e are concentrating on verticals with a strong demand for sales performance improvement, such as insurance sales, real estate mortgage sales, to name a few. T hese industries have a clear need for AI-driven tools to enhance productivity, to enhance sales, which aligns well with our solution offering. That's one thing. Our second growth strategy is to build strategic partnerships for scaled growth. W e aim to grow through partnerships with leading enterprises, including large digital platforms such as Google. A s I mentioned earlier, right, strategic collaboration with Google offers us the potential to serve Google's global client base. Additionally, by partnering with organizations that possess deep expertise and customer networks in specific verticals, we are developing industry-specific AI software. T his approach enables us to deliver comprehensive solutions across different industries and creating significant value for clients in this given sector. T he third strategy component is, of course, like many other companies, right, in addition to organic growth, we are also actively exploring M&A opportunities to further accelerate our growth. I norganic growth through acquisition allows us to expand our reach and capabilities and deepen our market presence in a much faster manner. In terms of the process so far, we have secured clients across sectors, including insurance, government sector, real estate, mortgages. A s we continue to execute on these strategy pillars, we are very confident that we will have a much faster pace for continued growth going forward. Thank you. Our next question asks, what is the logic behind your product's pricing? Is it a subscription fee plus a performance-based component? Is the same pricing model used in different countries? Thank you, Larry. We offer two main pricing models with each client choosing one of the models or sometimes combining elements from both, really depending on client needs. First is a SaaS subscription model, which is a monthly subscription fee based on the number of paying users. It offers clients predictable cost and scalability as their user space grows. Secondly is the performance-based pricing. This model is tied directly to the value we deliver. Fees are calculated based on the measurable impact our AI solutions have on our client business outcomes. It is worth noting that most of our competitors rely on a project-based pricing model. This approach reflects the fact that their products are less mature, require significant customized projects to deliver values. In contrast, our solution is highly mature and already optimized for rapid deployment and very low-cost training, so we do not charge for initial implementation. This approach allow us to deploy and adjust solutions very quickly, which is a clear advantage for us. Across different markets, different regions, and for various client types, our standard pricing model remains the same. However, the pricing level may vary depending on several factors, including the client-specific scenarios, competitive landscape, local cost considerations, and the specific market feasibility. Our flexible approach allows us to tailor our offering to best fit each client's needs and ensure they receive the maximum value from our solutions. Thank you. Our next question asks, what are the main components of the company's costs and expenses, and what do they cover specifically? Aside from R&D, are there any significant increases in costs and expenses? In our most recent 20-F, the company's main cost expense components are mainly these categories. One is called operational service fee. These are the charges based on the number of licenses purchased, covering service planning, quality control, outsourced daily service deliveries. This is a key component of our cost of goods sold. Secondly is we call it server rental cost. It is a smaller but necessary expense for our infrastructure, especially for some of our own model training. Thirdly is amortization and depreciation of intangible assets. These account for the gradual use of our intangible resources. Number four is general and administrative expenses, previously detailed as a key area for growth. Number five is R&D, another key growth area already being highlighted and detailed in the 20-F. The increase of operational service fee is directly tied to the rise in licenses, which grew from an average of 2,192- 5,475 in fiscal year of 2024, which is also highlighted in our 20-F, mainly driven by an expansion in agency and business demand. To support this growth, we renegotiated service terms with outstanding partners, aligning costs more closely with our business activities. We believe that charging based on license numbers not only optimized our cost structure but also incentivized our service providers to maintain their service standards, providing more flexibility as our needs evolve. O ur last webcast question asks, what is the company's vision? Ultimately, what kind of company do you aspire to become? Yes, t hat's a great question. Our mission is to empower everyone to work as an expert through AI. T his mission drives everything we do as we aim to become a truly renowned globally respected company. Our goal is to bring the power of AI to everyone across all industries and regions, making expert-level performance accessible to all. W e see almost unlimited potential for our technology worldwide. We have already proven success with early wins in areas like mortgage, lending, insurance, wealth management, government sectors, and some more. Our strategic partnership with Google, as well as our work with various public sector clients, further validates our approach and the capabilities. Ultimately, we aspire to become a transformative force setting new standards in AI-driven efficiency, accuracy, and effectiveness in industries across the globe. By focusing on scalable growth and building long-term partnerships, we are confident in our journey toward becoming a world-leading AI company, which will contribute a significant return for our shareholders and investors. In the meanwhile, to serve to bring the biggest value to our clients across the world. Thank you. That concludes our Q&A. I would now like to turn the call back over to Mr. Li for his closing remarks. Yeah. H elport, as we were just listed in Nasdaq in August, we are very proud that we have approved this model. We have already achieved profitability and constant growth, and we have already developed a very unique competitive advantage over our competitors. Lo oking ahead, we are very confident in further innovation in delivering much more value to our clients through AI-empowered software in customer communications. W e will do our best to bring the biggest value to our clients and to meet our investors' expectations. Thank you. Thank you. This does conclude the Helport AI Fiscal Year 2024 Financial Results and Business Update conference call. Please disconnect your line at this time and have a wonderful day.