Profile
MARI CLEAN
🏢 Large enterprise
Last updated: 29 Oct 2024 |
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mari clean was founded in 2019with one clear objective: to provide professional janitorial services that satisfies your needs and leaves you with absolute delight. We are a proud family-owned-and-operated business with cleaners who have more than 10 years of industry experience.
Industry & specialities
Details
Headquarter Australia |
Year founded 2013 (11 years) |
Funding status Publicly listed on stock exchange |
Company type MNC / Large Enterprise |
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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.
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- MNCs / Large Enterprises in Singapore
Frequently Asked Questions (FAQ)
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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.