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ONTOLOGY FOUNDATION LTD.
Last Updated: 14 Nov 2025
ONTOLOGY FOUNDATION LTD. is ACRA -registered entity that has been operating for 7 years 10 months in Singapore since its incorporation in 2018.
Officially, ONTOLOGY FOUNDATION LTD. is registered as Public Company Limited By Guarantee with its address 2 VENTURE DRIVE, #11-31, VISION EXCHANGE, Singapore 608526.
Country of registration | Singapore |
Registration number | 201805115R |
Local SIC | |
Incorporation date | 8 Feb 2018 |
Company age | 7 years 10 months |
Official entity type | Public Company Limited By Guarantee |
No. of officers | 9 |
Contact
Address:
2 VENTURE DRIVE, #11-31, VISION EXCHANGE, Singapore 608526
Phone number:
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Associated business (1)
- ONTOLOGYView MoreSingaporeOntology is a high-performance public blockchain platform that provides a suite of distributed ledger and smart contract solutions. Our modular architecture enables customization for various applications, while our dual token model (ONT and ONG) ensures secure and decentralized governance. Ontology's mainnet will launch with a series of common modules for distributed digital identity, data exchange, and other use cases, with additional modules to be developed based on user needs. Learn more about our vision and technology on our website.
This is the legal entity page of ONTOLOGY FOUNDATION LTD.. To access company info, company size, news, key maker's emails, visit the profile pages above.
Financials
Auditor | MRI MOORES ROWLAND LLP |
Revenue | > 10m |
Last updated: 14 Nov 2025
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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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