The amount and quality of existing formulation data is a product of various factors, including common formulation practices and their efficiency. Recognizing the demanding nature of the current approaches to data generation has shined a light on automated systems. Automation entails integrating equipment and technologies into a production process to minimize active human intervention. In other words, it grants an increased level of autonomy to the system. Automated systems are attractive for the development of formulations, including NPs, due to their capacity to improve efficiency, reproducibility, and safety . Menial tasks associated with pharmaceutical research, such as repeated pipetting or weighing, are subject to human error when performed manually. Automation can ensure these tasks are performed consistently, in a way that would outpace humans (e.g., preparing multiple samples in parallel, operating continuously for longer periods of time, etc.). Furthermore, given the inanimate nature of automated robotic systems, they can be used to handle harmful substances, drastically lowering the risk of human exposure .