Nishan Kohli on Reality Capture and the Evolution of Asset Intelligence

Reality capture technologies have transformed how existing conditions are documented within the built environment.

Traditional methods often relied on incomplete surveys and manual interpretation. In contrast, modern capture technologies — including LiDAR and high-resolution imaging — provide comprehensive datasets that significantly reduce uncertainty.

According to Nishan Kohli, this shift is foundational to the development of asset intelligence. Accurate capture creates the baseline from which reliable digital representations can be built.

However, capturing data is only the starting point. The process of converting raw scan data into structured information is where most of the value is created. This involves transforming point clouds into organized models that can be used for design, coordination, and operations.

One of the main challenges is managing data volume and complexity. Large-scale capture efforts produce significant amounts of information, requiring efficient workflows for processing and validation.

At BIMstream, the focus has been on building systems that move beyond standalone datasets toward integrated digital environments. These environments allow users to interact with building data in a practical and accessible way.

Looking ahead, reality capture will play a central role in the advancement of digital twins, enabling continuous updates and more accurate representations of physical assets. This progression enables organizations to move toward more informed, data-driven decision-making.