How Unified Reality Modeling Powers Intelligent Digital Twins

• Proeksa Meas
• 17 July 2026
• Construction Focus
• 745 Views

Infrastructure teams are overcoming the persistent challenge of isolated data silos by leveraging Unified Reality Modeling to build truly intelligent digital twins.

While organizations often possess vast amounts of high-fidelity reality data—ranging from lidar scans and photogrammetry to geospatial information—this data frequently remains locked in disconnected formats, rendering it unintelligent and difficult to share.

Bentley Systems’ iTwin Capture suite solves this by providing a comprehensive, three-step workflow that turns raw data into actionable insights. First, the software fuses diverse sensor data into a single, geometrically precise 3D reality mesh, creating a living baseline of infrastructure assets.

Second, it utilizes AI and machine learning to automatically detect, classify, and catalog assets, effectively transforming unstructured imagery into a queryable, structured database.

Finally, by utilizing open, streamable standards, the platform ensures this intelligent data is accessible for collaboration across various applications, including BIM and GIS ecosystems.

The impact of this technology is already being demonstrated in major projects. The city of Madinah, Saudi Arabia, successfully integrated massive urban datasets to optimize city services and planning, while engineering firm Benesch utilized iTwin Capture to automate pavement inspections.

By applying AI-powered analysis to drone-captured imagery, Benesch reduced inspection times by 75%, significantly lowering costs and increasing safety. Through the use of developer APIs and the centralized iTwin Capture environment, organizations can now automate these workflows, bridge data gaps, and gain the precise insights necessary to manage infrastructure assets more efficiently.

Explore how iTwin Capture unifies reality data ❯

• Bentley
• AI
• machine learning
• Bentley Systems
• BIM
• GIS