{"slug":"how-bouygues-construction-drives-sustainable-building-innovation-with-digital-twins","url":"https://findausecase.com/use-cases/how-bouygues-construction-drives-sustainable-building-innovation-with-digital-twins","title":"How Bouygues Construction Drives Sustainable Building Innovation With Digital Twins","description":"Bouygues Construction, a global construction and infrastructure company based in France, built custom digital twin applications on NVIDIA Omniverse using the OpenUSD framework to unify 3D data from Revit, SolidWorks, and Cesium into a single collaborative environment. Using NVIDIA Isaac Sim, the company generates photorealistic synthetic training data for AI-based computer vision models covering rare or hazardous jobsite scenarios, and uses NVIDIA RTX PRO GPUs for real-time ray tracing. The approach delivered a 5x improvement in data integration speed and enabled safer job site planning through AI-driven construction site simulations and predictive scenario testing.","company":"Bouygues Construction","industry":"Construction","country":"France","aiCapabilities":["Computer Vision"],"businessFunctions":["Research & Development"],"technology":["NVIDIA Omniverse","NVIDIA Isaac","NVIDIA Isaac Sim","NVIDIA RTX PRO GPUs","OpenUSD"],"deployment":"Unknown","problemStatement":"The construction industry deals with highly complex projects that involve massive 3D models, large volumes of data, and diverse data sources—from CAD models of manufacturing lines to BIM models of buildings. These models often come from different software tools, making interoperability a real challenge. Digital workflows are traditionally sequential and fragmented, limiting collaboration and slowing down the design-review process. Construction sites are also dynamic environments, and digital tools must adapt to real-world conditions to support better decision-making around safety.","solutionApproach":"By merging various complex 3D data sources and applications into a unified OpenUSD environment using Omniverse, Bouygues Construction developed integrated solutions that can interact with extensive multidisciplinary datasets in real time, including buildings modeled in Revit, equipment designed in SolidWorks, and terrain imported from Cesium. The company also uses NVIDIA Isaac Sim (built on Omniverse) to generate photorealistic synthetic 3D training data for AI-based computer vision models, particularly for rare or hazardous jobsite scenarios, with real-time ray tracing powered by NVIDIA RTX PRO GPUs.","businessValue":"Adopting OpenUSD and Omniverse-based workflows delivered a 5x improvement in data integration speed. The approach also enabled safer job site planning through AI-driven construction site simulations and predictive scenario testing using Isaac Sim, and supports real-time collaboration across disciplines by unifying 3D models from Revit, SolidWorks, and Cesium into a single Omniverse workspace.","evidence":{"band":"high"},"sourceUrl":"https://www.nvidia.com/en-eu/customer-stories/digital-twins-sustainable-construction/","dates":{"publishedAt":"2026-08-29T09:01:03.951Z","publishedAtSource":"pipeline","updatedAt":"2026-08-29T09:01:03.951Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/how-bouygues-construction-drives-sustainable-building-innovation-with-digital-twins. Bulk republication requires permission."}