Advanced Manufacturing Systems

Dabohn has developed an intelligent operating system that improves industrial processes.Compared to traditional management software, it combines human experience, physical models, and artificial intelligence in a single platform. This means that even less expert operators can manage complex plants with the same simplicity and intuitiveness of a latest-generation smartphone.Dabohn is already operating in various markets:

Dilica S.r.l. is an innovative start-up specialized in the development of advanced artificial intelligence and machine learning algorithms for the mobile automation sector.Leveraging substantial academic experience and decades of work in Silicon Valley, our expert team delivers tailor-made solutions to companies seeking to enhance the efficiency and capacity of their automated systems.

AI-ML srl is an innovative company that creates artificial intelligence and machine learning systems designed for analysis, design, realization, and training of algorithms that provide business solutions and support decision-making processes and the digital transformation of organizations, bodies, and companies.

Fieldview from Cognivix is a new generation pick and place system for industrial robots. It applies vision algorithms based on deep learning to achieve precision handling in uncontrolled environments that include variations in lighting and background. Our methodology for automating the acquisition of objects and learning means that the transition from design to production can be achieved in a few hours, without requiring any AI skills.

RE-SPORT is an innovative startup and a spin-off with the participation of the University of Bologna. We develop innovative technologies for the recycling and development of sports equipment and everyday products in plastic and compound materials.RE-SPORT develops all the necessary steps towards the recycling of multi-material items at the end of their lifecycle, from proof-of-concept to design of finished systems, combined with the assessment of environmental impact and economic factors in the process.