Digital Twins enable in-depth analyses by leveraging 3D Data, Big Data, IoT and AI solutions.

They are set to revolutionize entire industries, from AEC to automotive and beyond. We’ve already seen digital twins being used in the AEC industry to develop next-generation buildings and smart cities.

In 2021, digital twins will be increasingly used for everything from managing renewable energy plants to improving the performance in the Automotive, Aerospace and Defense industries.

Smart Cities

Digital Twin can help cities to become more environmentally, economically and socially sustainable. It enable users to create models that guide their future plans and help provide solution to the complex issues that cities face. In case of any disaster like flood, Digital Twin provides useful information in real-time, like which areas are flooded, which infrastructure will be closed down, which hospitals could be affected and thus allowing city managers to take immediate action.


Digital Twin's can have a wide variety of uses, but one of the most common is that it is an attractive marketing tool to attract investors, tenants, or owners (like a commercial version of a residential 3D tour). Cushman & Wakefield recently partnered with Matterport to offer 3D scans to their clients. "We have taken this a step further with a full 'digital twin' of a city that integrates public and private data to explore commercial real estate in 3D".


We make the creation of “digital twins” as easy as possible. thru our SaaS (software-as-a-service) model.

Public and private 2D/3D data, PDF's, point cloud, photogrammetry, CAD, BIM and GIS data are brought together, integrated, analyzed and visualized in a web browser.


Urban Planning

The dynamic nature of digital twins offers urban planners, policymakers, resource managers and asset owners more tools and information than static data models. In construction, engineering, manufacturing and automotive industries, digital twins of individual assets are used for real-time monitoring, remote control of systems, scenario-testing and strategic planning.

Digital twins can allow citizens to explore the impact of different planning projects directly: visual simulations or derived data could tell them how a planning proposal would change the view from their apartment, or traffic congestion on their commute, for example.


In utilities, the robust system enables efficient management of a wide range of document, including 3D models, 2D process schematics, as-built documents, instrumentation data and other business and critical Engineering & Design information. Here Digital Twin real-time data which This allows project manager at oil and gas companies to achieve a real ‘as-designed,’ ‘as-built,’ ‘as-operated’ visibility into their fleet of globally distributed assets, enabling them to quickly and efficiently re-plan and reposition the fleet to access new opportunities globally.

Self-Driving Cars

Though digital twin practices can be used in the traditional automotive manufacturing industry, digital twins are handy for autonomous vehicle companies. Self-driving cars contain numerous sensors that collect data regarding the vehicle itself and the environment of the car. Due to the liability questions that surround autonomous vehicles, creating a digital twin of a car and testing every aspect of the vehicles is helping companies ensure unexpected damage and injuries will be minimized. Some applications of digital twins in the automotive industry are road testing and vehicle maintenance.


For insuring anything from any kind of risk it is important to understand the location of the risk. For example, insure a famous historical monument from risk of terrorist attack, a Digital Twin model can help to understand that which is the area from where terrorists can easily enter in the monument. Once the location is known it is easy to take protective measures. Another use case of Digital Twin in Insurance can be use of the technology while building any infrastructure, where it can help to access risks in advance.

Disaster Management

Earth’s climate is now changing faster than at any point in the history of modern civilization, primarily as a result of human activities. Global climate change has already resulted in a wide range of impacts across every region of the country and many sectors of the economy that are expected to grow in the coming decades. Fires, flood, and drought have become normal now. In such a scenario, Digital Twin can be used to build smarter infrastructure like dams, utility networks, emergency response plans, and zoning.