April 4, 2025
Deliverable 1.3 – Report on selection approach and framework
DIAMONDS4IF aims to support some Horizon 2020 (H2020) beneficiaries’ companies in further developing their projects and applying to ETS Innovation Fund (IF), which helps them overcome barriers in turning R&D (Research and Development) into successful businesses.
One of the main results of DIAMONDS4IF-Project will be to produce at least five IF proposals that include detailed plans for scalability, commercialisation, and financial models for submission to the IF. Our long-term goal is to create a sustainable innovation pipeline, effectively bridging the gap between H2020 discoveries and their practical deployment.
For this purpose, WP1 and WP2 in our project aim to create a pool of potential IF application candidates beyond the pilot cases that are already part of the project consortium. Potential IF application candidates, project owners, and exploitation responsible, will be selected, identified, and contacted. The selection will mainly be done by mining EC (European Commission) database and other relevant sources such as our innovative selection tool based on our intelligence platform ©Wheesbee.
In this report, we have outlined the development of a selection approach for the identification of candidates and created a first preliminary list of potential IF applicant candidates as requested in Task 1.1. These results will be continuously updated based on actual company data, changes in names, locations, etc. Additionally, in accordance with the objectives of Milestone 1, we have identified approximately 20 candidates from the database. For one candidate we already submitted
an IF application, for another one we currently perform a viability check.
The approach of PNO encompasses various facets, including the utilization of cutting-edge tools and technologies, such as our innovative AI-based software, Wheesbee. We will continue to harness the power of Wheesbee, refining its algorithms and expanding its capabilities to uncover hidden opportunities and insights within the vast H2020 ecosystem.