The presented platform involves a Machine Learning approach and demonstrates how data-driven approaches meet the challenge of reaching high accuracy while being light and computationally efficient. The architecture of the solution ensure the easiness of use and stands as a ready to use tool for R&D forces designing the next generation of AI-driven Battery Management Systems and constantly dealing with timings and budgetary constraints.