MONSTAR

Last Updated: 14 Nov 2025

MONSTAR is ACRA -registered entity that has been operating for 5 years 3 months in Singapore since its incorporation in 2020.

Officially, MONSTAR is registered as Sole Proprietor with its address 14 TAMAN HO SWEE, #07-45, BUKIT HO SWEE VIEW, Singapore 161014.

Country of registration	Singapore
Registration number	53421220D
Local SIC	47640: Retail sale of games and toys
Incorporation date	24 Sep 2020
Company age	5 years 3 months
Official entity type	Sole Proprietor
No. of officers	1

Contact

Address:

14 TAMAN HO SWEE, #07-45, BUKIT HO SWEE VIEW, Singapore 161014

Phone number:

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Associated business (1)

MONSTARLAB
Japan
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mobile development
innovation
strategy
experience transformation
digital transformation
iot
mobile app development
web development
enterprise app development
business consulting
mobile app design
web design
crm
ai
wearable device app
Management Consulting
About Monstarlab Monstarlab is your “AI & Digital Partners” for empowering business transformation and new value creation through the power of AI and digital technologies, guided by our mission to “Empower talent everywhere to engineer awesome products, services and ecosystems; building a brighter world for us all.” Operating across 12 countries and regions worldwide, we are built around four core practices — Strategy, Design, Technology, and Operations. By orchestrating AI and diverse global intelligence, we unlock human potential and deliver strong engineering excellence and powerful business impact.

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

Financials

Revenue

< 1m

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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