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ScienceRouter: AI-powered knowledge matchmaking to boost the innovation landscape

Project description

Smart AI software boosts industry–academia collaboration

Despite substantial investments in academic research in Europe, commercial exploitation of knowledge is still lacking. Companies find it challenging to find and engage the right person with sound knowledge on a specific technology. The EU-funded ScienceRouter project is supporting Machine Intelligence Sweden AB in developing technology that makes it easier to connect industry and researchers. The AI-powered tool, called ScienceRouter, should render results about 14 times faster compared to current solutions and at a lower cost. Apart from analysing open-data research articles, patents and university websites to create an accurate profile of the researcher, ScienceRouter facilitates all other aspects of the collaboration including legal aspects and payments.

Objective

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.

Call for proposal

H2020-EIC-SMEInst-2018-2020

See other projects for this call

Sub call

H2020-SMEInst-2018-2020-1

Coordinator

MACHINE INTELLIGENCE SWEDEN AB
Net EU contribution
€ 50 000,00
Address
POBOX 5243
402 24 Goteborg
Sweden

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Södra Sverige Västsverige Västra Götalands län
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost
€ 71 429,00