The Carmen team plans to build realistic numerical models of the electrical activity of the heart. To solve these models, the team is developing the numerical solver CEPS, an open source simulation package. Its purpose is to integrate a broad range of multiscale novel models in a generic extensible and efficient platform. Additionally, numerical solvers like CEPS require anatomical and distributed electrophysical information representing the geometrical domain and the parameters of a simulation. Building complete cardiac models directly from imaging data and expert knowledge is time-consuming and error-prone: specific expertise and multiple softwares are often needed to process data stemming from medical imaging into realistic meshes and parameter distribution. Furthermore, visualization and analysis of simulation results are performed in software that are not specific to cardiac applications. On the whole, this makes it difficult to confront numerical models to experimental data. The goal of the IDAM project is twofold: - ease the preprocess and postprocess stages of any cardiac numerical simulation; - improve the CEPS numerical solver to allow the integration of more complex models; To achieve this, we rely on MUSIC, the multimodal platform for cardiac imaging developed by the Imaging team at Liryc. By using the toolbox and pipeline architecture in MUSIC, we aim to streamline the workflow of a complete cardiac simulation: anatomical mesh generation from patient specific data, description of simulation parameters, running and analysing the simulations.