Strengthening API integration, account aggregation, AI, and security technologies
First written in FY2016. 11 of 14 entries say "Advanced", first in FY2017-Q2. Latest entry: 2026-10-15.
6 other companies' latest entry also says "Advanced".
- 2026-10-15AdvancedEarnings presentation
「『マネーフォワード AI Cowork』を一部士業事務所向けに提供開始」
AI技術の事業実装が、AI Coworkの先行提供や業務プロセス別AIエージェントのリリースとして具体化した。 - 2026-10-01Advancedvoix.jp
「The company also aims to support a broader range of tasks by enabling users to call up “Money Forward AI Agent,” provided by the company, as well as AI agents provided by development partners, from within the service.」
The implementation of AI technology in the business has taken concrete form in the concept of using the company’s own and external AI agents on AI Cowork. - 2026-07-13AdvancedEarnings presentation
「全社AI利用率96％以上、約6割以上が週5時間以上の削減効果を実感し、AI活用が全社で定着」
AIの事業実装に加え、社内業務での利用と生産性向上の実績が示された。 - FY2026-H1AdvancedAnnual report
「Since the previous consolidated fiscal year, we have particularly focused on developing and releasing AI functionality, and have so far released AI Tax Filing and multiple AI agents responsible for various business processes.」
The implementation of AI technology in the business progressed through the release of AI agents handling multiple business processes. - FY2025AdvancedAnnual report
「To date, 17 research results have been put to practical use in the business. Going forward, the Group will continue to promote research and development in the priority area of automation and usability and release services incorporating the user perspective, leading to the development of solutions that help solve users’ problems.」
The Group’s track record included 17 instances of using research results concerning AI, data and automation in the business. - FY2024AdvancedAnnual report
「As a result of this progress, the Group released an LLM trained using instruction data. It also presented research results on related LLM elemental technologies at international conferences and other venues.」
Concrete progress in the LLM research conducted with RIKEN included the release of a trained LLM and presentations on related technologies at international conferences and other venues. - FY2023AdvancedAnnual report
「The Group worked with the Language Information Access Technology Team at the Center for Integrative Intelligence Research of RIKEN, a National Research and Development Agency, to develop Japanese instruction data needed to improve the document-generation capabilities of large language models (Large Language Models, hereinafter “LLMs”), as well as LLMs trained on this data. It also developed and introduced a review model, automating part of the review workflow.」
In addition to developing LLMs in collaboration with RIKEN, the Group partially automated review operations through the introduction of a review model. - FY2022AdvancedAnnual report
「During the fiscal year, the Group worked on developing OCR (Optical Character Recognition) technology using AI that eliminates the need for pre-training and extraction in the text domain.」
The Group conducted research and development into AI-enabled OCR technology and expanded the scope of its use of data and AI. Research and development expenses were ¥155 million. - FY2021AdvancedAnnual report
「During the fiscal year, the Group applied deep learning to enable the automatic reading of invoice amounts, payment due dates, payees and other information stated on digitized invoices. It also applied genetic algorithms to accelerate automatic reconciliation.」
The Group achieved automatic reading of invoice information using deep learning and accelerated automatic reconciliation using genetic algorithms. - FY2018-Q3RestatedAnnual report
「Money Forward has continued to focus on improving usability, including by increasing API integrations with financial services.」
The Group has continued to strengthen its technology and usability through expanded API integrations with financial services. - FY2017AdvancedAnnual report
「The Company was selected as the first partner for financial institutions launching API integrations, and the integration partners as of 30 November 2017 were as shown in the table below.」
The specific integration partners as of 30 November 2017 were identified for inquiry and update APIs for individuals and corporations, totaling 13. - FY2017-Q3RestatedAnnual report
「In the MF Cloud series, this also includes an increase in supported financial services and API integrations with internet banking services for corporations.」
API integrations between MF Cloud and financial services, as well as corporate internet banking services, have continued. - FY2017-Q2AdvancedAnnual report
「In the MF Cloud series, this also includes an increase in supported financial services and API integrations with internet banking services for corporations.」
API integrations with corporate internet banking services were newly identified as a specific integration target. - FY2016First statedAnnual report
「As core technologies, the Group is developing API integrations with financial institutions, account aggregation technology, machine-learning technology using artificial intelligence to autonomously organize and classify big data in an optimal form for each user, for applications including automatic categorization of household accounts and suggested account titles for accounting ledgers, and security technologies that enable the safe operation of services.」
Multiple technology areas have been identified as the foundation for differentiation.