ScoutinScience uses AI to map research potential of Japanese university

Enschede-based company ScoutinScience will deploy its AI platform for Yamaguchi University in Japan. The collaboration, which started on 18 May 2026, is intended to help the Japanese university identify and capitalise on research with commercial potential more quickly.

ScoutinScience automatically analyses scientific publications and assesses their suitability for technology transfer and commercial application. For Yamaguchi University, research results are presented through a dedicated online portal. The collaboration begins with an analysis of publications from the period January 2025 to January 2026, followed by monthly monitoring.

An initial analysis of 750 papers from the university showed that 6.3 percent received a so-called A-rating for commercial potential. Yamaguchi University was looking for a tool to support future technology development and the scouting of scientific potential for technology transfer.

How the analysis works

The ScoutinScience platform retrieves scientific publications and preprints from researchers affiliated with a knowledge institution, analyses those texts and ranks them on the basis of two central metrics. The Business Potential Score (BPS) indicates the extent of the commercial application prospects; the Technology Readiness Level (TRL) expresses how far a technology has already been developed towards practical deployment.

The results are made available to the university's technology transfer staff through a portal. This allows them to determine more precisely which research lines are candidates for patenting, licensing processes or collaboration with companies, without having to manually review every paper. For Yamaguchi University, this means in practice that the monthly flow of new publications from its own researchers is automatically screened and prioritised.

Background on ScoutinScience

ScoutinScience was founded in 2020 by Jasper, Gilles and Menno, three people who met through the innovation ecosystem surrounding the University of Twente. CEO Gilles Meijer leads the company from Enschede. The company focuses on knowledge institutions that want to make better use of their research portfolio for societal and commercial applications.

In June 2025, ScoutinScience raised nearly one million euros in a growth financing round. Existing investor 819 Capital made a follow-on payment; in addition, new angel investors with backgrounds in AI, academic commercialisation and corporate R&D joined. The European Commission recognised the company twice as a best practice in the field of valorisation.

ScoutinScience already operates in several European countries, including Germany, Austria, Ireland and the Netherlands, and participates in international consortia with more than ten European partners. The collaboration with Yamaguchi University is the first to take place outside Europe.

What the collaboration aims to achieve

The goal of the collaboration goes beyond a one-off screening of publications. Yamaguchi University wants to build strategic insight into its own research portfolio and thereby approach industry partners more purposefully for knowledge transfer. ScoutinScience provides the analytical infrastructure for this; the university retains control over which research lines it develops further or brings to market.

Technology transfer remains a labour-intensive and sometimes opaque process for many universities. Research departments produce large volumes of publications, but identifying which of these are commercially interesting requires considerable manpower and expertise. By partially automating that screening process, transfer offices can deploy their capacity more effectively.

For ScoutinScience, the move to Japan represents an expansion of its geographical reach. The company has a long-term ambition to double global technology transfer by 2050. Whether and when further collaborations outside Europe will follow has not been communicated by the company.

The collaboration with a Japanese university illustrates that European AI companies in the valorisation segment are now also managing to attract clients outside their home market. For other Dutch deep tech companies operating in knowledge-intensive markets, it serves as an example of how a specialised platform with relatively modest funding can nonetheless gain an international foothold, provided it solves a concrete and measurable problem for its customers.