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:
- Merges real-time data with digital simulations to optimize operations.
- Cuts costs by reducing reliance on physical prototypes.
- Empowers data-driven decisions through predictive insights.
Key Functions:
- Combines real and digital worlds to optimize design and production.
- Reduces the need for physical prototypes and lowers costs
- Models industrial assets with geometry, kinematics, and behavior for simulation, control, and improvement.
Itndustry Applications:
Manufacturing
Enhance production and product quality.
Energy
Boost asset performance and minimize downtime.
Supply Chain
Improve visibility and streamline logistics.
Our Expertise:
- Custom solutions for seamless integration and growth.
- Dedicated support to ensure maximum value

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Features of Digital Twin
Document Management
Centralized storage of all documents (e.g., drawings, instructions) associated with equipment.
Simulation
Models equipment behavior in virtual environments Facilitates testing and scenario analysis without physical risks.
Model Synchronization
Aligns digital models with real-world parameters. Supports real-time updates for improved accuracy.
Digital Model
Creation of digital representations of equipment. Simulates properties and behaviors of physical devices for analysis.
Data Model
Provides standardized frameworks for connectivity, analytics, and visualization.
Connected Analytics
Leverages algorithms to analyze measured properties of physical devices. Provides actionable insights through computational results.
3D Representation
Maps measured or simulated properties of physical devices into 3D digital models.
Visualization
Offers graphical representations on supervisory screens or personal devices. Enables intuitive interaction and monitoring.
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
- Design customization.
- Simulation and validation of each development step.
- Enhancing operational processes.
- Reducing the overall cost of engineering.
- Predictive maintenance.
- Virtual monitoring and performance management.
Construction/Real Estate
- Automated project control.
- Safety monitoring.
- Project planning and logistics.
- Building performance assessment.
- Smart space capacity evaluation and design.
- Quality assessment.
Utilities
- Power grid planning.
- Enhanced visibility of the physical grid.
- Efficiency improvement of the grid.
- Power grid self-evaluation.
- Ecological reconstruction of the grid.
Aerospace/Automotive
- Design customization.
- Defect detection.
- Aircraft tracking.
- Weather condition stipulation.
- Transport load optimization.
- Vehicle defect detection.
- Real-time monitoring and predictive analytics.
Agriculture/Farming
- Advanced smart farming.
- Planning, monitoring, and controlling farm processes.
- Weather prediction.
- Stress identification.
- Livestock monitoring and management.
Healthcare
- Diagnosis and therapy.
- Preventive treatments.
- Drug development.
- Medical device utilization.
- Facility and operations design.
- Education and training.
Mining
- Track & optimize the performance of equipment
- Plan excavation sequences
- Monitor air quality, vibration, and noise levels
- Optimize energy consumption
- Monitor underground and surface operations
- Provide realistic simulation-based training
Retail
- Supply chain optimization.
- Product inception, development, and distribution.
- Fleet management and route efficiency.
- Facility and operations design.
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Clients
