Samp
Samp connects 3D reality captures of industrial sites with their engineering data on a continuous basis, enabling them to spot inconsistencies.
Managing vast, complex equipment with evolving technical data, reducing emissions and losses while ensuring safety and efficiency, and adapting to a workforce generational shift are only some of the challenges industrial sites face. These facilities require up-to-date, accurate information to manage multidisciplinary teams and meet environmental and operational demands.
Samp’s patented technology integrates existing technical data with 3D imagery to create an accurate “digital twin” of industrial sites in days. This web-based platform is accessible to all project stakeholders, updating continuously to support collaboration across disciplines and accelerate safe transformations toward more sustainable, environmentally friendly operations.
Founders
Laurent Bourgouin
CEO
Lauren is a mechanical engineering graduate with a PhD in Computational Fluid Dynamics. He has over 15 years of experience in the energy industry, working across large organizations such as ENGIE, Wood and Dassault Systèmes.
Shivani Shah
CTO
Shivani holds a Master’s in Informatics from Grenoble INP and a PhD from Université de Tours, where her research at CEA focused on unsupervised machine learning for large datasets.
Milestones
Founded at Entrepreneur First
Seed ($4 million) led by High-Tech Gründerfonds
$6.6 million led by Promus Ventures