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AESTAS PTE. LTD.
Last Updated: 14 Nov 2025
AESTAS PTE. LTD. is ACRA -registered entity that has been operating for 13 years 5 months in Singapore since its incorporation in 2012.
Officially, AESTAS PTE. LTD. is registered as Exempt Private Limited Company with its address 1 SCOTTS ROAD, #24-10, SHAW CENTRE, Singapore 228208.
Country of registration | Singapore |
Registration number | 201218229M |
Incorporation date | 23 Jul 2012 |
Company age | 13 years 5 months |
Official entity type | Exempt Private Limited Company |
No. of officers | 3 |
Contact
Address:
1 SCOTTS ROAD, #24-10, SHAW CENTRE, Singapore 228208
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Associated business (1)
- AESTAS CONSULTINGView MoreSingaporeAestas Consulting offers data consulting services leveraging Machine Learning (ML) and Artificial Intelligence (AI) tools to help organizations and individuals optimize their data-driven decision-making processes. Our interdisciplinary team combines expertise in statistics, ML/DL, software development, and domain knowledge to create tailored solutions that deliver tangible value to clients. By bridging the gap between technical and non-technical stakeholders, we facilitate effective communication and collaboration, ensuring successful project outcomes.
This is the legal entity page of AESTAS PTE. LTD.. To access company info, company size, news, key maker's emails, visit the profile pages above.
Financials
Revenue | < 1m |
Share Capital - Ordinary shares | SGD 100 |
Last updated: 14 Nov 2025
* This information is provided to the best of our research ability and we make no warranties for any inaccuracies or omissions.
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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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