Infrastructure Leaders Overcome Data Silos with Unified Reality Modeling

• Proeksa Meas
• 10 July 2026
• Construction Focus
• 835 Views

Infrastructure organizations are increasingly turning to Bentley Systems’ iTwin Capture suite to transform disjointed data into powerful, intelligent digital twins.

Previously, project teams struggled with “data silos,” where incompatible formats from lidar, photogrammetry, and geospatial sensors remained isolated, preventing comprehensive site analysis. This manual, disconnected approach often led to slow, costly processes that hindered real-time decision-making.

Bentley’s solution resolves these challenges through a three-step workflow that unifies, analyzes, and shares project data.

First, the software fuses diverse sensor inputs into a single, high-fidelity reality mesh, creating a living baseline of infrastructure that can be updated over time. Second, the platform embeds intelligence by using AI and machine learning to automatically detect and classify assets, turning raw visual data into a structured, queryable database. Finally, by utilizing open, streamable standards, the technology ensures that these insights are easily accessible to engineers and project managers across different platforms.

Real-world applications have already demonstrated significant efficiency gains. The city of Madinah, Saudi Arabia, successfully integrated massive urban datasets to improve city-wide planning and sustainability.

Similarly, the engineering firm Benesch replaced hazardous, traditional pavement inspections with an AI-driven workflow using iTwin Capture. This transition cut inspection times by 75%, resulting in substantial cost savings and a more modernized approach to asset management.

By offering developer APIs and automated workflows, Bentley enables organizations to break down collaboration barriers and deliver smarter, data-driven infrastructure insights faster than ever before.

Explore how iTwin Capture unifies reality data ❯

• Bentley
• Digital Twin
• AI
• Bentley Systems
• iTwin Capture
• LiDAR