Once data is unified in a single structure it can be utilized to create multi-layered visualizations.
As well as digital twins, single data models are the foundation of machine learning and artificial intelligence projects.
Unlike software that makes source data comply to a proprietary structure, Bruce reads from and writes back to each source database structure.
Bruce works with multiple taxonomies.
There’s no need to debate and agree a common data standard before commencing a project. Start with multiple data standards, amalgamate them, and evolve to a new taxonomy at any point in the future.
We prepare data for specialist artificial intelligence and digital twin simulation and prediction models.
In 2021, we improved Bruce’s geospatial interface and importing; migrated to Kubernetes; upgraded our GeoTIFF imaging; and introduced specialist modules—like Virtual Building Envelopes and Contour Mapping.
Our Bruce roadmap for 2022 is jampacked with more upgrades including temporal dimensions; IoT websockets; 3D viewers; and the ability to import from Aveva, Smartplant, DWG, DXF, and Navisworks; plus UX and UI improvements and new in-field navigational tools.