Acquiring Skills in New Technology Domains
First written in FY2022. 11 of 13 entries say "Advanced", first in FY2024-Q1. Latest entry: 2026-10-20.
57 other companies' latest entry also says "Advanced".
- FY2026-H1AdvancedAnnual report
「We aim to fully expand into the data and enterprise systems business by establishing a specialist organization that provides solutions leveraging Monstarlab Inc.’s distinctive strengths, including “CodeRebuild AI,” which uses generative AI to modernize enterprise systems, agile development and advanced UI.」
The initiatives were made concrete by providing generative-AI modernization, agile development and advanced UI through a specialist organization and deploying proprietary AI solutions to support DX and AI adoption. - FY2025AdvancedAnnual report
「We will continue to advance the sophistication of proprietary solutions and development methods using AI.」
The deployment of proprietary solutions using generative AI progressed from Code Rebuild AI to the launch of MonstarX. New technology capabilities began to be deployed not only in individual projects but also as products and services. - 2026-02-27AdvancedEarnings
「Through the launch of a specialized organization providing expert solutions in the data and enterprise fields, including CodeRebuild AI, which uses generative AI to modernize enterprise systems, agile development, and advanced UI, we aim to fully develop the data and enterprise business by leveraging Monstarlab's distinctive strengths.」
A full-scale rollout in the data and enterprise fields through a specialized organization was explicitly stated. - FY2024AdvancedAnnual report
「Specifically, in 2023 we developed “Code Rebuild AI,” a solution that uses generative AI to modernize legacy systems effectively and efficiently by replacing obsolete, black-boxed systems with new system architectures and code.」
Expansion into data and enterprise systems using generative AI was extended into concrete solution development, including Code Rebuild AI, with a policy of converting new technology capabilities into projects. - FY2024-H1AdvancedAnnual report
「During the current interim consolidated accounting period, we continued to win projects in APAC in the data and enterprise systems businesses through approaches using generative AI.」
Project wins in data and enterprise systems using generative AI continued, although revenue contribution was limited because the projects had not reached the development phase. - FY2024-Q1AdvancedAnnual report
「Our expansion into data and enterprise systems progressed smoothly through approaches using generative AI, enabling us to win enterprise systems development projects that we aim to strengthen strategically.」
Expansion into data and enterprise systems using generative AI progressed, resulting in enterprise systems development projects. This was an example of new technology capabilities leading to project wins. - FY2023RestatedAnnual report
「Demand for AI, data and IoT has increased in recent years, and through the initiatives below we will seek to acquire skills in new technology areas.」
The acquisition of AI, data and IoT skills through CTO-led R&D and training, hiring and site establishment in optimal locations, and M&A was reiterated. - FY2022First statedAnnual report
「Through the initiatives below, we will seek to acquire skills in new technology areas.」
AI, data and IoT skills will be acquired through R&D and training by the CTO team, hiring and establishing sites in optimal locations, and M&A.