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EKO.AI
Last Updated: 31 Jan 2025
EKO.AI is ACRA -registered entity that has been operating for 7 years 10 months in Singapore since its incorporation in 2017.
Officially, EKO.AI is registered as Private Limited Company with its address 2 COLLEGE ROAD, #02-00, Singapore 169850.
Country of registration | Singapore |
Registration number | 201723299R |
Local SIC | |
Incorporation date | 16 Aug 2017 |
Company age | 7 years 10 months |
Official entity type | Private Limited Company |
No. of officers | 31 |
Contact
Address:
2 COLLEGE ROAD, #02-00, Singapore 169850
Phone number:
Access Key Decision Makers
This is the legal entity page of EKO.AI. To access company info, company size, news , key makers’ emails, visit the profile pages above.
Associated business (1)
- US2.AIView MoreSingaporeOur mission is to revolutionize cardiac care by democratizing echocardiography, the most widely used diagnostic tool for heart disease, through the power of AI. By providing equal access to high-quality, affordable, and reliable echo analysis, we aim to improve patient outcomes and expand healthcare access globally.
This is the legal entity page of EKO.AI. To access company info, company size, news , key makers’ emails, visit the profile pages above.
Financials
Auditor | PRICEWATERHOUSECOOPERS LLP |
Revenue | > 10m |
Share Capital - Preference shares | USD 19,710,881 |
Share Capital - Ordinary shares | USD 1,094,682 |
Last updated: 31 Jan 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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