Over the last months, we have been experimenting with how AI could be useful in real Capella workflows. One point became clear very quickly: the value is not in letting AI “ do systems engineering ”, but in helping engineers interact more efficiently with models, while keeping control of engineering decisions. In systems engineering, decisions require expertise, judgment, responsibility, and colla...

At Obeo, we are actively exploring how artificial intelligence can be combined with model-based systems engineering (MBSE) to enhance engineering efficiency and accessibility, while maintaining the rigor required for the development of complex and critical systems. We currently see two main areas where AI brings clear value: AI as a modeling assistant : AI can support engineers in their daily mode...

In the safety critical systems industry, the adoption of Machine Learning (ML) remains slow due to the lack of trust and regulation. As part of the Confiance.ai  program, the Institute for Technological Research (IRT) SystemX and its partners (ONERA, IRT Saint Exupéry, Thales AVS) seek to address this issue by supporting all the development phases of systems involving Artificial Intelligence (AI) ...