It sounds like a perfect symbiosis: Founders with a product vision get the innovative research ideas of Fraunhofer scientists on board. Together, they participate in Fraunhofer CoLab, the high-tech accelerator for Fraunhofer start-up collaborations, and successfully launch their co-innovation on the market. What sounds straightforward is not always so simple in practice. How can such a cooperation actually be initiated?
In order for the right entrepreneurs to join forces with the right researchers, platforms are needed for targeted networking. Researchers at Fraunhofer IMW are working with the Fraunhofer-Gesellschaft‘s spin-off department, Fraunhofer Venture, to further develop existing meeting spaces and create new one‘s.
Algorithms optimize "Fraunhofer Match" platform
In the research project "Open Venture Factory", a Fraunhofer IMW team is programming a digital interface for the "Fraunhofer Match" platform that uses Natural Language Processing to reduce incoming cooperation requests to core topics and offers the option of subscribing to these core topics. The language models, programmed on the basis of artificial intelligence, accurately analyze unstructured texts. As a result, users of the platform can sift through large volumes of incoming data in a targeted manner and initiate new collaborations more efficiently.