To set the context of this paper, we may introduce “modeling” as a methodological approach or an activity seeking to provide a usable, effective, efficient and satisfactory representation of real-world objects for end-users wanting to use these models to analyze or make critical decisions. In modern engineering design processes, the exchange of information between stakeholders from different disciplines and even different organizations is essential to enable a successful digital collaboration. Nowadays, the industry faces many issues related to digital continuity, traceability, convergence, quality depreciation and project delays. And in order to solve that, it is essential to create solutions that act as a bridge to connect different knowledge domains. As Digitalization and Model-Based Processes are rapidly growing in the Systems and Product engineering domains, the number, the heterogeneity and abstraction level of those models are exploding. Thus, we may not only question their “rightness” and validity, but we face as well the challenges of traceability, interoperability and efficiency of model-based collaboration between disciplines. PLM-centric platforms like the ARAS Innovator are offering a unified and interconnected framework and engineering modules to support widely digital continuity and model traceability. However, third party application or in-house models authored outside those platforms can still be difficult to handle– but necessary -and the transition to a definitive “single source of truth” will not be achieved in the near future without more efforts. Moreover, managing design parameters and rules outside a unified PLM platform could still be required. Bridging the gap between applications, disciplines and models with an agnostic perspective, Parameter Management Software (PMS) provide a very straightforward answer with out-of-the-box capabilities and features to leverage heterogeneous processes in the context of a collaborative and concurrent process. This presentation will show how we can easily enhance PLM platforms to share key product information and metadata, as well as embracing the complexity and heterogeneity of engineering software.