Profile
NUS GRADUATE RESEARCH INNOVATION PROGRAMME (GRIP)
Transforming innovative ideas from NUS PhD students and research staff into deep tech startups.
🔥 High spending power🏢 SME
Last updated: 29 Oct 2024 |
NUS Graduate Research Innovation Programme (NUS GRIP) is a unique venture creation program for PhD students and research staff at NUS to transform their innovative ideas into deep tech startups while continuing their studies or working full-time. With a comprehensive suite of support, including expe...See more
Industry & specialities
Details
Headquarter Singapore |
Year founded 2018 (6 years) |
Funding status Private |
Company type SME |
Contact
Address:
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Phone number:
hidden.number
Company email:
Website:
hidden.website
Key People
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Co-founder, Deep-tech (Sustainable Investing / Green-FinTech)
hidden.name
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Co-founder
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Entrepreneur
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*This profile is created/compiled by The Grid to the best of our research ability, it is not currently maintained by or endorsed by .
Signals
The Grid’s assessment
- High spending power
* This information is provided to the best of our research ability and we make no warranties for any inaccuracies or omissions.
People Location
- 21· Singapore
- 1· Philippines
Job function
- 9Hidden function
- 2Hidden function
- 2Hidden function
- 1Hidden function
Seniority
- 13Hidden seniority
- 5Hidden seniority
- 3Hidden seniority
- 2Hidden seniority
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Export Leads
Job title | Name | Email | Country based in | Job Function | Seniority | |
---|---|---|---|---|---|---|
Co-founder, Deep-tech (Sustainable Investing / Green-FinTech) | hidden.item | hidden.item | hidden.item | |||
Co-founder | hidden.item | hidden.item | hidden.item | |||
Entrepreneur | hidden.item | hidden.item | hidden.item |
* 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.
- How long has NUS GRADUATE RESEARCH INNOVATION PROGRAMME (GRIP) been operating for?
- What is the funding status of NUS GRADUATE RESEARCH INNOVATION PROGRAMME (GRIP)?
- What is the address of NUS GRADUATE RESEARCH INNOVATION PROGRAMME (GRIP)?
- Where is NUS GRADUATE RESEARCH INNOVATION PROGRAMME (GRIP)'s headquarter?
- What is NUS GRADUATE RESEARCH INNOVATION PROGRAMME (GRIP)'s contact number?
- What NUS GRADUATE RESEARCH INNOVATION PROGRAMME (GRIP)'s spending power?
- Does NUS GRADUATE RESEARCH INNOVATION PROGRAMME (GRIP) have a presence in the domain it operates in?
* 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.
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.