The EPFL Spin-off Neural Concept has attracted Constantia New Business and High-Tech Gründerfonds (HTGF) to invest a seven-digit figure for the next stages. The startup developed the first deep learning software solution dedicated to Computer Assisted Engineering and Design.
Deep learning and AI have revolutionized how images, sounds and natural language are processed. However, software for Computer-Aided Design (CAD) for the development of technical products is still using traditional techniques.
Neural Concept Shape – a product of Neural Concept, an Ecublens based startup and a spin-off from EPFL’s computer vision laboratory – is the first deep learning software solution dedicated to Computer Assisted Engineering and Design. The software uses a proprietary technology that enables engineers to train 3D Neural Networks efficiently using raw CAD and simulation data.
The cloud-based simulation software allows clients to speed up development cycles from days to minutes or seconds and to find optimal solutions under precisely defined criteria and constraints automatically. The solution enhances product performance and reduces computational costs.