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Legal Entity

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FAQ

WIN MS PTE. LTD.

Last Updated: 14 Nov 2025

WIN MS PTE. LTD. is ACRA -registered entity that has been operating for 6 years 5 months in Singapore since its incorporation in 2019.

Officially, WIN MS PTE. LTD. is registered as Private Limited Company with its address 31 BOON TAT STREET, #02-01, EAGLES CENTER, Singapore 069625.

Country of registration
Singapore
Registration number
201921786W
Local SIC
  • 46100: Wholesale on a fee or contract basis (eg commission agents)
Incorporation date
5 Jul 2019
Company age
6 years 5 months
Official entity type
Private Limited Company
No. of officers
7

Contact

Address:

31 BOON TAT STREET, #02-01, EAGLES CENTER, Singapore 069625

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Phone number:
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This is the legal entity page of WIN MS PTE. LTD.. To access company info, company size, news , key makers’ emails, visit the profile pages above.

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Associated business (1)
  • company
    WIN MS
    France
    View More
    cable theft detection
    locate cable fault
    mctdr
    tdr
    reflectometry
    wire network monitoring
    aircraft harnesses troubleshooting
    fast wiring diagnostic
    arc fault detection
    cable fault detection
    hvdc protection
    wire diagnosis
    Manufacturing
    WiN MS solutions reduce risks and costs due to wiring and connection malfunctions using an innovative and patented technology that can diagnose and monitor the health of a cable throughout the whole product lifecycle. Fast wiring diagnostics & predictive maintenance WiN MS has a unique product portfolio for troubleshooting and inspecting all types of cables. Thanks to the immediate localization of faults, the tools offered by WiN MS ensure essential time savings for operators. They help reduce downtime and improve productivity. Coupled with powerful analysis algorithms, the data from WiN MS tools bring new benefits: Knowledge at regular intervals of the state of health of a fleet or installations, The ability to identify anomalies upstream and anticipate failures « Enabling technologies for safe and efficient system electrification and CO2 emission reduction » Reducing carbon emissions from our vehicles (planes, automobiles, etc.), from our buildings and our industries requires their electrification. In this area, WiN MS technology makes it possible to secure and anticipate faults on more powerful and energy-dense electrical links. The first target sector is aeronautics, whose roadmap is now geared towards hybrid or 100% electric engine solutions. Moreover opportunities are already identified in the rail, automotive, construction and industry sectors. The latest work by WiN MS has demonstrated the ability of the technology to detect electric arcs, brakes to the deployment of more powerful on-board electrical networks and a real show stopper of HVDC (High Voltage Direct Current) distribution « Electrical Wiring and Interconnecting System Permanent Health Monitoring » In general, the integration of WiN MS technology in a new generation of sensors allows monitoring, at any time, of the state of health of on-board electrical networks as well as of complete infrastructures Based in Paris – Saclay, we have offices in Singapore and Atlanta (USA).
This is the legal entity page of WIN MS PTE. LTD.. To access company info, company size, news, key maker's emails, visit the profile pages above.
Financials
Revenue
< 1m
Share Capital - Ordinary shares
SGD 10,000
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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