[As of June 18, 2026]
Research and development activities during the fiscal year under review yielded fruitful outcomes not only in joint research with physicians who possess advanced knowledge in the medical research fields, which has been ongoing for the past decade, but also in research in other industrial sectors. Additionally, these activities have expanded the application of generative AI, including the rapidly advancing large language models (LLM). The Company is now seeing instances where its technology, developed through joint research in the medical research fields, is beginning to contribute to new medical research. This steady approach to research and development not only facilitates the expansion and practical application of other research predominantly in industrial sectors but also helps address various challenges faced by our customers. As such, the Company is committed to maintaining this approach.
The themes of our research and development are broadly classified into “IT applications in the medical field,” “IT applications in the industrial field,” and “applications of generative AI.”
With regard to advanced technology, the Group has conducted multiple (nine in the fiscal year under review) joint research projects in ophthalmology and other areas of medicine using deep learning with medical colleges and institutions. The Company’s employees have published papers as lead authors in international journals, and they have actively presented at ophthalmology and information processing society conferences. In addition to the image diagnosis, the Company has also been working on multimodal technologies that utilize large language models (LLM), such as combining them with medical questionnaires and referring to guidelines. The Company is also advancing its efforts to support drug discovery, etc. with pharmaceutical companies, not only in clinical settings, and is nearing tangible results. Regarding the practical application of research achievements in society, the collaborations with professional medical associations and medical equipment industry associations have expanded to support the practical application of research results from other institutions, and we intend to continue focusing on this area.
The Company is also continuing its efforts to expand research achievements into actual business applications. As mentioned earlier, the Company is collaborating with academic societies and medical equipment associations to advance the practical application of research findings from joint research projects with medical institutions. In addition to constantly exhibiting a demo system equipped with a user-friendly and intuitive GUI at device exhibitions held in conjunction with ophthalmology academic conferences, we are currently progressing with procedures such as clinical trials aimed at obtaining regulatory approval. This demo system incorporates not only the Company’s research achievements but also those of other universities. Separately, as previously mentioned, the Company provides GUIs to support the practical application of research results from other research institutions. Its activities are broadly contributing to the practical application of IT utilization in medical research.
With regard to the industrial sector, joint research aimed at enhancing maintenance work, such as inspection and servicing of aircraft engines, through IT technology has led to the development of an internal inspection tool for aircraft engines that can be practically used in the field. This tool enables more precise inspections without placing an additional burden on mechanics and allows the inspection records obtained to be stored in a database. The Company aims to use the accumulated information from this tool to facilitate early fault detection and prediction, and it plans to advance the application of this technology to other locations and industries. Additionally, the Company made three conference presentations during the fiscal year under review and will continue to make such external presentations.
As an application of large language models (LLM) to software development, the Company has developed a multi-agent system with individual roles to conduct a multifaceted review of requirement specifications and has presented this at academic conferences. Although only the basic components are operational in the fiscal year under review, the Company has already obtained intriguing results, suggesting potential applications to documents in other fields. While conducting careful verification, the Company is working to refine it into a tool that can be practically used in development environments, where AI is becoming indispensable for code generation, and in other operations, enhancing it further based on insights gained in the field.
