SENSORLA PTE. LTD.

Last Updated: 14 Nov 2025

SENSORLA PTE. LTD. is ACRA -registered entity that has been operating for 9 years 6 months in Singapore since its incorporation in 2016.

Officially, SENSORLA PTE. LTD. is registered as Private Limited Company with its address 4 SIN MING ROAD, #05-04, SIN MING PLAZA, Singapore 575584.

Country of registration	Singapore
Registration number	201618417C
Local SIC	46511: Wholesale of computer hardware and peripheral equipment
Incorporation date	5 Jul 2016
Company age	9 years 6 months
Official entity type	Private Limited Company
No. of officers	12

Contact

Address:

4 SIN MING ROAD, #05-04, SIN MING PLAZA, Singapore 575584

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Associated business (1)

SENSORLA
Singapore
View More
nursing homes
Information & Communications Technology (ICT)
IT Consulting
Sensorla is a Singapore-based company that offers a comprehensive end-to-end solution for the cleaning and facilities management industry. Our cutting-edge technology and innovative approach enable us to provide efficient, cost-effective, and high-quality services to clients across various sectors.

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

Financials

Auditor	ACHIEVE PAC
Revenue	> 10m
Share Capital - Ordinary shares	SGD 617,913

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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