Profile
THE PYXIS LAB
Reviving the art of gifting through personalized surprise boxes
🏢 SME
Last updated: 27 Aug 2024 |
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At Pyxis Lab, we believe that gifting should be a joyful and anticipatory experience for both the giver and the recipient. Our platform provides curated gift packages tailored to the recipient's preferences, with the option for the giver to take a survey and receive a surprise gift box. With persona...See more
Industry & specialities
Details
Headquarter Malaysia |
Countries of operation Malaysia |
Year founded 2017 (7 years) |
Funding status Private |
Company type SME |
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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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* 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.