Today’s automation by means of robots to a large extent relies on manual processes and case by case programming. Therefore, the establishment of automation solutions usually takes long time and requires high level engineering expertise that needs to be built up during extensive university educations as well as practical experience. This makes the process of deploying solutions slow and expensive. All together this severely limits how companies can adopt robotic solutions cost-efficiently. The aim of this project is to enable robot suppliers to develop products that can capture the knowledge embedded in already running automation solutions and make it available for fast engineering of new efficient automation solutions. The vision is that this can be enabled by products and methods that combine (1) a data infrastructure in which robot data of already established solutions is gathered, (2) a search system by which an operator can find relevant solution elements and (3) methods that allow the operator to connect the found elements into a new robot system. The project will achieve this in a close collaboration between robot suppliers, manufacturing companies, and universities. The project will enable (1) the suppliers to address new business opportunities, (2) the manufacturing companies to faster establish new as well as optimizing already running robot solutions and (3) the universities to create new knowledge in the intersection between digitalization and automation.