Japan
AIセーフティプラットフォーム
教育AIエージェント
fukutan
AIエージェント信頼性プラットフォームの開発・提供
〒106-0032 東京都港区六本木4-2-45 高會堂ビル2階
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2 entries
| Date | Description |
| 2020 |
PwCでAIガバナンスの専門コンサルタントとして活動後、2020年にdatagustoを設立。 |
| 2020 |
Alchemist Accelerator・英国政府起業家プログラムに日本人女性初として採択。 |
9010401152158
| Trade name | 株式会社datagusto |
| Trade name (kana) | データグスト |
| Name in English | |
| Corporation type | 301 |
| Address | 〒106-0032 東京都港区六本木4丁目2番45号高會堂ビル2F |
| Postal code | 1060032 |
| Prefecture code | 13 |
| City code | 103 |
| Address outside Japan | |
| Prefecture in English | |
| City in English | |
| Address outside Japan in English | |
| Corporate number assignment date | 2020-04-06 |
| Update date | 2020-04-06 |
| Change date | 2020-04-06 |
| Registry closure date | |
| Reason for registry closure | |
| Successor corporate number | |
| Details of the change | |
| Latest record | 1 |
| Excluded from search | 0 |
| Processing type | 01 |
| Correction type | 0 |
| Trade name image ID | |
| Address image ID | |
| Sequence number | 2494589 |
Source: National Tax Agency Corporate Number Publication Site, basic three items
9010401152158
| Corporate number | 9010401152158 |
| Trade name | 株式会社datagusto |
| Trade name (kana) | データグスト |
| Trade name (alphabet) | |
| Registry closure date | |
| Reason for registry closure | |
| Registered address | 東京都港区六本木4丁目2番45号高會堂ビル2F |
| Postal code | 1060032 |
| Prefecture | 東京都 |
| Prefecture code | 13 |
| City or district | 港区 |
| City code | 103 |
| Street address | 六本木4丁目2番45号高會堂ビル2F |
| Organisation type | 301 |
| Processing type | 01 |
| Correction type | 0 |
| Status | |
| Representative | |
| Capital | |
| Employees | |
| Employees (male) | |
| Employees (female) | |
| Business summary | |
| Website URL | |
| Year founded | |
| Business category | |
| Date established | |
| Unified government qualification - grade | |
| Unified government qualification - business items | |
| Update date | 2020-04-06 |
| Key information | 9010401152158 |
Source: gBizINFO (Ministry of Economy, Trade and Industry)
2026-09-21 18:12 (Model: ggml-org/gpt-oss-20b )