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 is the first deep learning software solution dedicated to Computer Assisted Engineering and Design. The cloud-based simulation software allows clients to speed up development cycles, enhance product performance and reduce computational costs.
Neural Concept was founded in the spring of 2018. The start-up is a spin-off from EPFL’s computer vision laboratory where the founding team developed the fundamental technology. The company has also been supported by the Venture Kick support scheme.
The CEO holds a PhD in Artificial Intelligence from EPFL (Lausanne) and graduated from Ecole Polytechnique (Paris). Previously, he co-authored a leading optimization software in the ropeways engineering industry (CarmenV2) and developed AI-based trading tools for Credit-Suisse.
The CTO holds an PhD in Artificial Intelligence from EPFL. He worked as an AI-researcher and developer for Facebook and Yandex for Machine Learning and Virtual Reality-Applications.
Prof. Pascal Fua
The head of the EPFL Computer Vision Lab (CVLab).
Dr. François Fleuret
The head of the Machine learning group at IDIAP research institute and deep learning lecturer at EPFL.
HTGF Financing Neural Concept
Computer-Aided Engineering in the age of AI: Neural Concept SA raises a seven-digit investment from Constantia New Business and HTGF