
The TRINITY project aims to strategically advance knowledge and technology transfer at Trier University of Applied Sciences by integrating the key transformation fields of resource efficiency, artificial intelligence (AI), and industrial robotics.
Against the backdrop of profound economic, digital, and ecological changes, TRINITY specifically addresses the challenges faced by small and medium-sized enterprises (SMEs) in the structurally weak Trier region, which are confronted with increasing sustainability requirements, a shortage of skilled workers, and growing pressure to automate and digitalize.
TRINITY establishes a university-wide, sustainable transfer ecosystem that facilitates access to research, strengthens transfer structures, and expands the reach of innovation activities.
The focus lies on three central objectives: empowering university members to identify and leverage transfer potential, developing practical and low-threshold transfer services, and systematically expanding regional and supra-regional networks.
The three thematic pillars form an integrated package of measures consisting of demonstrators, workshops, and dialogue formats that are specifically aligned with the needs of industry and complement each other technologically. By bundling existing expertise within the research focus “Intelligent Technologies for Sustainable Development” and expanding it with innovative formats—such as an AI-supported advisory system and test environments for robotics—TRINITY creates a visible interface between academia, industry, and society.
Within the framework of TRINITY, an integrated transfer ecosystem is being developed across the fields of resource efficiency, AI, and industrial robotics, providing practical support to SMEs, pooling competencies, strengthening networks, and driving transformation in the Trier region.
| funded by | Ministry of Economic Affairs, Transport, Agriculture and Viticulture of Rhineland-Palatinate |
| in the program | Wissens- und Technologietransfer (WTT)/ Aktivitäten im Wissens- und Technologietransfer (Förderprogramm 366) |
| funding amount | 305.152 €; University's share: 299.049 € |
| project duration | April 2026 - January 2029 |




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