Smart bioprocess development platforms rely on various measurement data. For model-driven methods, these process data must be collected on-line or at-line in a timely manner. Also, with automated parallel bioprocesses, a large number of samples can be generated quickly for offline analysis. In both cases, rapid analysis is a success factor. In addition to dissolved oxygen (DO), pH and biomass, the glucose concentration in the medium represents an important measurand, both for the modeling of bioprocesses and their evaluation. C-Cit Sensors AG manufactures among others sensors for on-line glucose measurement. The aim of ANGUS is to integrate these sensors in a specially designed chassis for automated at-line analysis for liquid handling stations.