In this study, we demonstrated that an internationally distributed MAP based on the FINALES framework and composed of several software and hardware tenants can run two distinct optimisation tasks while seamlessly integrating computational and experimental capabilities and bridging the gap between the material and system scales. The system was shown to reproducibly identify regions of high ionic conductivity within an electrolyte system composed of LiPF 6 , EC, and EMC. Computational and experimental tenants connected to FINALES complemented each other, widening the chemical space accessible to the MAP as a whole. Furthermore, the communication of limitations for individual tenants, and the extensive use of identifiers and timestamps, allowed for improved data management and traceability in comparison to the previous version of FINALES .