Applying AI to engineering tasks such as CAD or FEA presents several challenges, including the lack of sufficient data to train AI models, difficulty in acquiring high-quality data that is relevant and accurate, representing large and complex models using AI algorithms, and the need for domain experts with a deep understanding of the specific engineering task to train and interpret the AI models in order to ensure their accuracy and applicability.
Automate data preprocessing and cleaning, provide pre-built, customizable templates for common AI tasks, provide an intuitive, user-friendly interface for training and interpreting AI models, enable engineers to understand the reasoning behind AI models decisions and integrate them into existing engineering workflows and tools. Facilitate the validation of the AI models against traditional simulation approaches to ensure accuracy and reliability.
