AI-Based Cooperation Management in the Early Stages of Entrepreneurship

Matchmaking at Start-Up Events

Abstract

In today's dynamic industry, successful start-ups require not only innovative ideas, but also the right partners – artificial intelligence can help bring them together efficiently and in a targeted manner. This article discusses the role of artificial intelligence (AI) in cooperation management at start-up events. The authors present the AI-supported matchmaking tool ‘KIKma’, which uses profile and interest analyses to make targeted cooperation suggestions to founders, investors and mentors. The system is based on a transformer model that classifies participant profiles and generates suggestions for targeted speed dating slots. The results show a high degree of accuracy, but occasional misclassifications occur due to ambiguities. This could be improved by fine-tuning the model or optimising the questionnaires. The aim is to facilitate exchange in the start-up landscape and establish an intelligent, adaptive cooperation network in the long term. The authors see great potential for future applications in innovation management in the continuous optimisation of the matching algorithm.