Profile
IKRAM ACADEMY
🏢 Large enterprise
Last updated: 29 Oct 2024 |
Ikram adalah perusahaan yang berfokus pada pengembangan akhlak dan ilmu pengetahuan serta teknologi. Dengan tenaga akademik professional dan sangat berpengalaman, kami menjadi solusi inovatif untuk perkembangan pendidikan di Indonesia.
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Details
Year founded 2023 (1 year) |
Funding status Publicly listed on stock exchange |
Company type MNC / Large Enterprise |
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- 2· Indonesia
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- 2Hidden seniority
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* This profile contains information from ACRA Information on Corporate Entities from Accounting and Corporate Regulatory Authority which is made available under the terms of the Singapore Open Data Licence version 1.0. Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.
- MNCs / Large Enterprises in Singapore
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* This profile contains information from ACRA Information on Corporate Entities from Accounting and Corporate Regulatory Authority which is made available under the terms of the Singapore Open Data Licence version 1.0.
Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.
Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.