BOON EDITING

Last Updated: 14 Nov 2025

BOON EDITING is ACRA -registered entity that has been operating for 12 years 11 months in Singapore since its incorporation in 2013.

Officially, BOON EDITING is registered as Sole Proprietor with its address 22 SIN MING LANE, #06-76, MIDVIEW CITY, Singapore 573969.

Country of registration	Singapore
Registration number	53229913B
Local SIC	85509: Educational support services n.e.c. (eg tuition matching services)
Incorporation date	19 Jan 2013
Company age	12 years 11 months
Official entity type	Sole Proprietor
No. of officers	1

Contact

Address:

22 SIN MING LANE, #06-76, MIDVIEW CITY, Singapore 573969

Phone number:

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Associated business (1)

BOON EDITING
Singapore
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editing
proofreading
phd theses
academic journals
english language
academic writing
masters theses
Education
Our team of skilled editors offers comprehensive editing and proofreading services for a diverse range of clients, including individuals, organizations, and government agencies. We specialize in editing documents across various subject areas such as science, humanities, business, healthcare, and architecture, catering to clients globally.

This is the legal entity page of BOON EDITING. To access company info, company size, news, key maker's emails, visit the profile pages above.

Financials

Revenue

< 1m

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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