Improving the accuracy of the AI matching algorithm
First written in FY2022-Q3. 8 of 13 entries say "Restated". Latest entry: 2026-08-14.
0 other companies' latest entry also says "Restated".
- FY2026-H1RestatedAnnual report
「We are working to achieve efficient M&A through more sophisticated AI matching algorithms and the promotion of DX across our operations.」
Describes improved AI matching accuracy as greater sophistication and continues to position it as a measure for efficient M&A. No new improvement rate or deadline is provided. - FY2025AdvancedAnnual report
「All of our AI and DX systems are developed in-house, and we have already made more than 12,000 modifications, creating a barrier to entry. As a result of advancing operational efficiency, the average closing period for all transactions closed in the fiscal year ended September 2025, measured from execution of the advisory agreement with the seller to M&A closing, was 7.2 months. This has also strengthened our position in recruitment by reducing working hours.」
Reports more than 12,000 system modifications and an average closing period of 7.2 months for the fiscal year ended September 2025. Development of proprietary algorithms combining generative AI, natural language processing and machine learning is also progressing. - FY2025-H1RestatedAnnual report
「We are working to achieve efficient M&A through two initiatives, improving the accuracy of our AI matching algorithm and promoting digital transformation across our operations, so that we can support the succession of as many companies as possible.」
Reiterates improved AI matching accuracy as an ongoing measure for efficient M&A. No new improvement rate or result is provided. - FY2024AdvancedAnnual report
「All of our AI and DX systems are developed in-house, and we have already made more than 11,000 modifications, creating a barrier to entry. As a result of advancing operational efficiency, the average closing period for all transactions closed in the fiscal year ended September 2024, measured from execution of the advisory agreement with the seller to M&A closing, was 7.0 months. This has also strengthened our position in recruitment by reducing working hours.」
Reports more than 11,000 system modifications and an average closing period of 7.0 months for the fiscal year ended September 2024. Development using generative AI, natural language processing and machine learning is also progressing. - FY2024-Q2RestatedAnnual report
「We are working to achieve efficient M&A through two initiatives, improving the accuracy of our AI matching algorithm and promoting digital transformation across our operations, so that we can support the succession of as many companies as possible.」
Reiterates improved AI matching accuracy as an ongoing measure for efficient M&A. - FY2024-Q1RestatedAnnual report
「We are working to achieve efficient M&A through two initiatives, improving the accuracy of our AI matching algorithm and promoting digital transformation across our operations, so that we can support the succession of as many companies as possible.」
Reiterates improved AI matching accuracy as an ongoing measure for efficient M&A. No new improvement rate or result is provided. - FY2023AdvancedAnnual report
「All of our AI and DX systems are developed in-house, and we have already made more than 9,000 modifications, creating a barrier to entry. As a result of advancing operational efficiency, the average closing period for all transactions closed in the fiscal year ended September 2023, measured from execution of the advisory agreement with the seller to M&A closing, was 6.6 months. This has also strengthened our position in recruitment by reducing working hours.」
Reports more than 9,000 system modifications and an average closing period of 6.6 months for all transactions closed in the fiscal year ended September 2023. - FY2023-Q3RestatedAnnual report
「We are working to achieve efficient M&A through two initiatives, improving the accuracy of our AI matching algorithm and promoting digital transformation across our operations, so that we can support the succession of as many companies as possible.」
Continues to position improved AI matching accuracy as a means of achieving efficient M&A. No new improvement rate or result is provided. - FY2023-Q2RestatedAnnual report
「We are working to achieve efficient M&A through two initiatives, improving the accuracy of our AI matching algorithm and promoting digital transformation across our operations, so that we can support the succession of as many companies as possible.」
Continues to position improved AI matching accuracy as a means of achieving efficient M&A. No new improvement rate or result is provided. - FY2022AdvancedAnnual report
「All of our AI and DX systems are developed in-house, and we have already made more than 8,000 modifications, creating a barrier to entry. As a result of advancing operational efficiency, the average closing period for all transactions closed in the fiscal year ended September 2022, measured from execution of the advisory agreement with the seller to M&A closing, was 6.6 months. This has also strengthened our position in recruitment by reducing working hours.」
Reports more than 8,000 modifications to internally developed systems and an average closing period of 6.6 months for all transactions closed in the fiscal year ended September 2022. - FY2022-Q3First statedAnnual report
「Improving the accuracy of the AI matching algorithm」
Identifies improved AI matching accuracy as one of the two initiatives for achieving efficient M&A. No specific improvement rate or deadline is provided.