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Computing for Voluntary Welfare Organisations

Computing for Voluntary Welfare Organisations

Software DevelopmentFlag of SGSingapore, Singapore1-10 Employees

Company overview

HeadquartersSingapore, Singapore
Phone number+6520082009
Website
Founded2007
Employees1-10

Key Contact at Computing for Voluntary Welfare Organisations

Flag of SG

Eugene Lek

President

Computing for Voluntary Welfare Organisations Email Formats

Computing for Voluntary Welfare Organisations uses 2 email formats. The most common is {first name} (e.g., john@nus.edu), used 66.7% of the time.

FormatExamplePercentage
{first name}
john@nus.edu
66.7%
{last name}
doe@nus.edu
33.3%

About Computing for Voluntary Welfare Organisations

Computing for Voluntary Welfare Organisations (CVWO) is an initiative founded by Prof Ben Leong and spearheaded by undergraduates from the National University of Singapore School of Computing. Our mission is to build IT systems that help our partner VWOs serve the community more effectively.

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Computing for Voluntary Welfare Organisations revenue & valuation

Annual revenue$598,885
Revenue per employee$86,000
Estimated valuation?$2,000,000
Total fundingNo funding

Employees by Management Level

Total employees: 1-10

Seniority

Employees

Entry
Vice President
Intern

Employees by Department

Computing for Voluntary Welfare Organisations has 3 employees across 1 departments.

Departments

Number of employees

Funding Data

Computing for Voluntary Welfare Organisations has never raised funding before.

Frequently asked questions

Computing for Voluntary Welfare Organisations is located in Singapore, SG.
You can reach Computing for Voluntary Welfare Organisations at +6520082009.
Computing for Voluntary Welfare Organisations was founded in 2007, making it 19 years old. The company has established itself as a significant player in its industry over this time.
Computing for Voluntary Welfare Organisations has approximately 1-10 employees. The company continues to grow its workforce to support its business operations and expansion.

4.8

40,000 users

top 50
high performer
most used
tier 1 accuracy

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