Digital Twins For The Predictive Maintenance Of Infrastructure
Offer A Unique Solution For Damage Management
SwissInspect provides professional image-based inspection services and software-as-a-service (SaaS) for digital twinning and damage management of infrastructure and buildings for various customers, including asset owners, operators, insurance companies, etc.
Combining machine learning, computer vision, and structural engineering, we create structural digital twins with several layers of information that can be used for monitoring an asset's health over its lifetime.
SwissInspect is a spin-off from École Polytechnique Fédérale de Lausanne (EPFL).
We Are A Team Of Experts
Dr. Amir Rezaie
PhD in Structural Engineering from EPFL
Structural analysis
Computer vision
Machine learning
Bryan Pantoja-Rosero
AI-based structural health monitoring
3D computer vision
Physics-based numerical modeling
Prof. Dr. Katrin Beyer
Associate Professor of Structural Engineering at EPFL
Structural analysis of Unreinforced masonry
Numerical modeling of reinforced concrete
Dr. Frédéric Dreyer
PhD in Materials Science from EPFL & MBA from HEC Genève
Over 10 years of experience in industry and management
Founder of the FUSTIC association at EPFL
Innovation mentor & business coach
Dr. Radhakrishna Achanta
PhD in Computer Science from EPFL
Over 19 years of industrial and academic experience
Image processing
Artificial intelligence
Dr. Mateusz Kozinski
PhD in Computer Science from Ecole des Ponts ParisTech
Outstanding reviewer at CVPR conference
Computer Vision
Robotics
