Success Stories

Allvision built an integration that brings their rapid digital twin audits generated from the field data and AI as federated data into any iTwin model. This allows decision-makers in the road and rail transportation markets to improve their workflows and monitor infrastructure changes.

Beyond CAD built an integration that allows digital twin models built on the iTwin platform to be rendered on their 3D visualization software on the Unreal Engine.

CCTech built an iTwin application that displays HVAC simulation results from their simulationHub Computational Fluid Dynamics. The application allows the user to visualize comfort conditions and better understand the HVAC design performance.

M2X.ai blends video game technology with building industry workflows. Their product M2 Diagram leverages the iTwin platform to sync, federate and serve up building information modelling data including all major engineering design software file types.

Nearabl built a mobile application that creates an augmented reality experience for digital twins served by the iTwin platform. Their application helps construction project stakeholders navigate and interact with constantly changing building sites.

Phocaz built an application to aggregate traffic design data and graphic workflows for transportation agencies. Traffic Design Data Manager simplifies data navigation by synchronizing report records with feature location, tracks design issues such as missing lengths, pay items, or alignment names.

Silo AI built a solution for city pipeline infrastructure owners to predict pipeline failures and increase operation efficiency of district heating. Their solution combines Silo AI’s advanced data analysis with the iTwin platform, providing easy to use visualizations of the pipeline assets.

SmartViz built a solution for building performance and optimization on the iTwin platform. Their solution integrates IoT data, energy consumption, and occupancy analytics on a building digital twin powered by iTwin allowing property managers and owners/operators to analyze their building performance, understand bottlenecks and opportunities, and do predictive modelling.