Revolutionizing Industry with Smart Replicas
A digital replica of a physical asset or process that evolves over its lifecycle, covering products, machines, production systems, and supply chains.

Key Advantages:

Key Functions:

Itndustry Applications:

Our Expertise:

Features of Digital Twin

Digital Twin – Key Benefits

By leveraging AI, the digital twin not only mirrors real-world processes but also predicts outcomes, optimizes performance, and supports decision-making across all operational levels

Enhanced Product Design

Simulate and test new designs virtually to reduce prototyping costs and improve innovation

Predictive Maintenance

Identify faults and prevent breakdowns, minimizing downtime and reducing operational costs

Optimized Supply Chains

Model logistics to foresee delays, streamline operations, and improve resource allocation

Improved Operational Efficiency

Real-time monitoring and simulation improve decision-making, reduce costs, and enhance equipment lifespan

Enhanced Safety

Simulate risks and improve safety measures, reducing hazards and operational vulnerabilities

Improved Customer Engagement

Provide interactive, customized experiences to improve satisfaction and increase conversions

Digital Twin Platform Stack Architectural Framework

Building the Digital Twin

The modern Digital Twins are dynamic software models of assets or processes that enable real-time monitoring and improve process efficiencies.

Building the Digital Twin - Prerequisites

Access to apt historical data and acquiring relevant real-time data

This is a prerequisite for any solution that requires predicting outcomes based on current and past data. Rich historic fault data of industrial assets, high-quality operational and process data of the ecosystem form the basis of building a robust prediction mechanism.

Data integration

This is required to represent a real-world object by different subgraphs of nodes and edges. The integration of the different nodes results in creating a laminar data flow thus helping us to construct the visual abstract, which represents the anatomy of a Digital Twin.

Fidelity and Allegiance

This is essential to mirror assets or processes from its physical form by creating High Fidelity Simulation (HFS) models thus enabling operations to run on virtual machines. This evolves as footing for increasing the awareness on the asset or the process incorporating diverse operating scenarios.

IoT Communication Grid

This is vital to establish ubiquitous data connectivity to enable computational intelligence powered by both wired and wireless technologies.

Digital Twins: Transforming Industries, One Use Case at a Time

Manufacturing

Construction/Real Estate

Utilities

Aerospace/Automotive

Agriculture/Farming

Healthcare

Mining

Retail

AI powered Digital twin
Where should we put EV charging stations in a city

AI powered Digital twin
Real life demo of a chemical plant with IoT Sensor

AI powered Digital twin
How to navigate inside of an airport

AI powered Digital twin
Dubai Real Estate Data Enabled Digital Twin

Clients