Thank you for reaching out. Our company provides cloud services for quantum computing. We have been recently developing technologies related to quantum computing and machine learning, and it has delved into quite specialized areas. Moreover, aligning with the mainstream trend in such advanced technologies is challenging, and the number of companies that genuinely require them is becoming limited. We place immense importance on the technologies we have built ourselves; however, we find it challenging to communicate their merits effectively.
Companies that want to leverage quantum computing for their operations face challenges when entering this domain. They have to learn about various quantum computations, such as the Ising model using quantum annealing, quantum circuits, and computations with and without errors. They then need to choose the technology best suited for their own company.
Having been in research, development, and business for 9 years, our company possesses considerable expertise. Of course, many companies aspire to acquire these skills through internal training. Considering the alignment with their business operations, not all technologies are essential, leading them to selectively adopt what suits their company best.
Recent technological advancements demand significant training and investment. Our R&D cloud service initially began with quantum annealing, but now primarily focuses on quantum machine learning. Throughout this journey, we have developed various quantum circuit models, such as quantum phase estimation, variational circuits, and amplitude estimation. Not all companies need every algorithm; they often require specific ones. Learning all algorithms to subsequently select the relevant ones is a formidable task. We consistently offer these technologies to businesses through our R&D cloud system sales. Recently, due to the broad spectrum of required technologies, we have concentrated on providing quantum machine learning, ensuring we maintain the highest quality standards.
While there is a wealth of technology and literature available today, many cutting-edge technologies haven't been published in books or even in papers. Consequently, it's becoming increasingly challenging for customers to assess whether such new technologies are truly superior. As we offer these latest technologies to our clients, ensuring them of the technology's excellence and its ability to enhance business profitability and competitiveness becomes crucial. In these situations, trust with our client companies is paramount.
However, there are companies, possibly driven by information from exhibitions or the web, that struggle with selecting the right technology. Even if we recommend our technology, there might be competing solutions from other companies that appear more attractive. Given that our technology is relatively new with limited documentation, the decision often depends on the client's judgment. While we have invested heavily in this technology and believe it's competitive, assessing its value poses its challenges. Currently, we primarily offer our services to our long-standing customers. From our perspective, we believe that our advanced technology will increasingly contribute to corporate profitability. However, explaining and selling such technology is undeniably challenging. One strategy emerging for our company is to withhold our latest technologies for our internal use, ensuring technical superiority and scaling our services. This approach implies leveraging our innovative technologies in-house, without sharing our R&D, to genuinely translate our technical edge into business profits.
The machine learning we're engaged in is applicable in numerous scenarios, including classification and prediction problems. Such advantageous technologies are crucial for business revenue and cost-cutting. Utilizing this technology within our firm offers the potential for scalable service expansion. In future R&D, narrowing down the companies we provide to and focusing more on in-house utilization seems increasingly likely. Being a startup, monetization is essential for us. Deciding how to offer these cutting-edge technologies is integral to our 3 to 5-year revenue plan, and we need to tread carefully in consultation with our shareholders. We believe our current interactions with our customers and our R&D status are on track. However, given the global technological advancements, we feel a pressing need to accelerate. We think that prioritizing extensive development with a large team, bearing the costs, and focusing on the development and provision of scalable technology and services are the tasks at hand.
While our cloud services and research & development are certainly successful, I believe there's potential in leveraging our R&D technologies internally rather than revealing them externally, especially if we want to scale our business and profitability. We consider the Quantum GPU Cloud System we've developed over the past five years to be exceptional. Beyond utilizing GPUs in the cloud, we've also experienced in-house GPU operations and understand the challenges of managing both hardware and cloud operations. We've received requests from various sectors that go beyond the realm of machine learning for our cloud services catering to GPU utilities. We believe that services related to infrastructure development for machine learning and data centers are crucial.
We plan to launch new scalable services in the near future. While platforms for R&D using cloud services are beneficial, they don't scale and require a large workforce. Maintaining advanced technological developments that are accessible to many is challenging. To capitalize on the high-end technological development we've achieved, our company needs to grow significantly. While we serve numerous major corporations, the number of companies that can leverage our technology is becoming limited. We'd love to offer our state-of-the-art technology globally, but security concerns significantly restrict overseas provision, making us feel the limits of this business model. To address these security challenges and still utilize the latest technologies, we're starting to believe we need to foster good businesses within our company rather than seeking external markets. We will continue to offer technology to our existing clients, but there's a possibility we might cease tech offerings to new clients. This could determine whether we'll grow as a venture in the next three years, compromise, or quietly fade away. Given the rapid global changes, we're pondering whether to ride this vast wave or not, and we're eager to drive our corporate activities accordingly. If there are potential clients considering our tech offerings, we would appreciate a decision within this year.