AIDGE is a novel software development platform for embedded Artificial Intelligence (AI). It is designed to import or even learn Deep Neural Networks (DNN) and generate optimized code for target hardware architectures, in a completely open, transparent, and traceable manner. The purpose is to avoid dependence on opaque and non-sovereign tools or elements, ensuring competitive performance and favoring the certification of embedded Machine Learning (ML) components. In this paper, we present the preliminary analysis on the potential benefits of using this platform in light of the rising aeronautical certification standards concerning the use of ML into critical aeronautical systems, pointing possible steps toward certification, based on the artifacts that can be automatically generated by AIDGE.