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ScienceRouter

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ScienceRouter AI powered knowledge matchmaking to boost the innovation landscap...

ScienceRouter AI powered knowledge matchmaking to boost the innovation landscape About 50% of European sectors can be considered R&D-intensive. These industries account for 26% of employment and 39% of GDP within the EU. To stay competitive, companies must dedicate considerable amounts of human and financial r... see more

31/01/2019

DIS

71K€

Project Budget: 71K€

Project leader

MACHINE INTELLIGENCE SWEDEN AB No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

PARTICIPATION DEPralty Sin fecha límite de participación.

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Financing granted El organismo H2020 notifico la concesión del proyecto The day 2019-01-31

EIC-SMEInst-2018-2020: SME instrument

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Cerrada does 5 years

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characteristics of the participant

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Private Information

No hay información privada compartida para este proyecto. Habla con el coordinador.

2 Participantes

DIS

50.00K€ | Leader

BORNAY DESSERTS, S.L

325.47K€ | participant

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Project duration: 5 months Date Start: 2018-08-02
End date: 2019-01-31

Project leader

MACHINE INTELLIGENCE SWEDEN AB No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Project Budget 71K€

participation deadline Sin fecha límite de participación.

Project description About 50% of European sectors can be considered R&D-intensive. These industries account for 26% of employment and 39% of GDP within the EU. To stay competitive, companies must dedicate considerable amounts of human and financial resources in R&D. But R&D is not only done internally: collaboration between industrial and academic worlds is essential. However, knowledge transfer between researchers and industry is hampered by the lack of efficient tools for matching companies with the right researchers or organizations. There is not an easy way to match companies with the most adequate researcher. Some IT solutions exist allowing companies to make manual explorations to find researchers: article search engines (Google Scholar), research analytics platforms (MonoCl), professional and academic networks (ResearchGate, LinkedIn). These search engines are not optimised with the purpose of finding individuals based on their knowledge. Limited to a group of keywords, they rely on the information shared by the researchers and do not facilitate the establishment and management of the collaboration. Machine intelligence Sweden has developed ScienceRouter (SR), a machine learning web-based software that finds perfect matches between companies and researchers. It allows for long free text searches, unlocking 18 million open access research articles, which are continuously updated. SR also facilitates contracts and payments, reducing the on-boarding time and cost by 92%. The Feasibility Study for this project will take 5 months and focus on an in-depth market study, technical validation and the development of a final business plan to take us to market. SR opens up the market for contractual research projects and technical consulting opportunities valued globally at €15.3 B, from which we are targeting a market of €205 M per year, i.e. 1,3%. With this model and the successful completion of the innovation project, we estimate an EBITDA of €22.3M, creating 60 jobs by 2024.

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