Innovation Radar Data-based Identification & Commercialisation
Location: Switzerland, Germany, Netherlands
Source: EU Funding & Tenders Portal
This proposal aims to close the gap between investors and research projects from both sides. On the one hand, by placing investors / partners in contact with the research projects with the highest potential and on the other, to coach the projects on raising capital, identifying a business model and developing a sound go-to-market strategy. The approach will ensure scalability while simultaneously
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ended |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | This proposal aims to close the gap between investors and research projects from both sides. On the one hand, by placing investors / partners in contact with the research projects with the highest potential and on the other, to coach the projects on raising capital, identifying a business model and developing a sound go-to-market strategy. The approach will ensure scalability while simultaneously catering to the large diversity between the projects and the needs. This is achieved by using data to select the projects with the highest market potential and followed by tailor made support. Giving tailor made support is needed as ownership structures, backgrounds, and challenges vary greatly between projects. Some researchers prefer to transfer or license their innovations as opposed to starting and running a company. The key to success is to first understand each innovation, innovator, investor & partner; only then can their needs and their potential be identified, and can they receive the right kind of support at the right stage. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
