Investment in AI Development and R&D Infrastructure
First written in FY2023-Q3. 5 of 9 entries say "Advanced", first in FY2023. Latest entry: 2026-08-13.
5 other companies' latest entry also says "Advanced".
- FY2025AdvancedAnnual report
「During the consolidated fiscal year, the company pursued research and development aimed at practical application in the fields of optimization, large language models (LLMs), and knowledge graphs. Specifically, in optimization, it created a reinforcement learning template and conducted benchmarking in an environment close to real-world applications, with the aim of rapid application to client projects. In the LLM field, it conducted technical verification of local LLMs with security and cost efficiency in mind, and developed a template for building AI agents capable of automatically executing complex tasks. In the knowledge graph field, it conducted research and development toward automating knowledge graph construction jointly with members of 株式会社CAGLA. Total research and development expenses for the consolidated fiscal year were ¥27.431 million.」
The company expanded its research and development areas to optimization, LLMs, AI agents, and knowledge graphs, developing reinforcement learning and AI agent-building templates and conducting knowledge graph research with CAGLA. - FY2025-H1RestatedAnnual report
「Research and development expenses for the interim accounting period were ¥12.014 million. There were no material changes in the status of the company's research and development activities during the interim accounting period.」
The company recorded ¥12.014 million in research and development expenses and stated that there were no material changes in its research and development activities. - FY2024AdvancedAnnual report
「During the fiscal year, the company classified and organized various methods for practical application, evaluated model performance, and developed frameworks in the fields of reinforcement learning, mathematical optimization, and large language models, with the aim of efficiently executing client projects from proposal through implementation. Total research and development expenses for the fiscal year were ¥18.834 million.」
The company organized methods, evaluated performance, and developed frameworks in the areas of reinforcement learning, mathematical optimization, and LLMs, and recorded ¥18.834 million in research and development expenses. - FY2024-Q2RestatedAnnual report
「Research and development expenses for the second quarter cumulative period were ¥11.084 million. There were no material changes in the status of the company's research and development activities during the second quarter cumulative period.」
The company recorded ¥11.084 million in research and development expenses and stated that there were no material changes in its research and development activities. - FY2024-Q1RestatedAnnual report
「Research and development expenses for the first quarter cumulative period were ¥5.401 million. There were no material changes in the status of the company's research and development activities during the first quarter cumulative period.」
The company recorded ¥5.401 million in research and development expenses and stated that there were no material changes in its research and development activities. - FY2023AdvancedAnnual report
「During the fiscal year, the company expanded the functionality of Border, a Rust-based deep reinforcement learning framework, and developed a framework for using large language models in client projects. Total research and development expenses for the fiscal year were ¥10.817 million.」
The company reports specific progress in expanding Border, developing a framework for LLM applications, and incurring ¥10.817 million in research and development expenses. - FY2023-Q3First statedAnnual report
「Research and development expenses during the cumulative third quarter were ¥8.396 million. Depreciation and amortization for the cumulative third quarter were as follows.」
¥8.396 million has been recorded as research and development expenses. Capital expenditures, including GPU servers essential for AI development, are also listed as a use of proceeds from the public offering.