Digital Twin

Drive unprecedented efficiencies & co-create digital solutions using patented digital twin software platforms

Digital Twin Solutions

Digital Twin is an end-to-end virtual model of a physical thing, process, or service to enable data-driven decision-making and to put an end to business-process inefficiencies. Essentially, the digital twin is a technology that creates virtual representations of the physical world and its many relationships. The concept of digital twins represents the fusion of physical and virtual worlds, and every industrial product will get a dynamic digital representation. Digital Twins are a persistent digital model of the structure, behaviour and context of the physical thing, process or a service.
A digital twin platform provides an open API that allows any system to interact with the digital twins.

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We have our own patented Digital Twin and IoT enabled Performance Intelligence & Health Analytics solution for the Renewable Energy Sector. Our patented technology is for a system employing electrical digital twin for solar photovoltaic power plant that helps in optimising solar assets & portfolio to streamline O&M, benchmark asset’s performance, effectively manage SLAs, increase yield & improve your plant’s performance.

Digital Twin of any device has four components – viz., Device data, AI/Data Analytics, Device Knowledge & Data Modelling. Once you have the data from the device, you need AI/Data Analytics to identify relevant signals from the data. Even with AI detecting patterns, intimate knowledge of whether the pattern is meaningful is utmost important. Building Data models based on this knowledge can help organizations to have a complete digital footprint. These ‘connected digital things’ generate data in real time, which can help companies better analyse and predict problems or give warnings in advance, prevent downtime, develop new business models or simulations and even plan better for the future at a lower cost by using simulation product. All of these will have a greater impact on providing a better customer business experience. We have a patented digital twin technology and a team of Subject Matter Experts that specializes in multiple digital twin IoT platforms including but not limited to Microsoft Azure IoT digital twin platform, Amazon Sumerian and AWS IoT Core digital twin platform.

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Applications of Digital Twin

A custom Digital Twin software that combines Big Data, Artificial Intelligence (AI), Machine Learning (ML) and Internet of Things is the key to Digital Transformation and is mainly used in the Industrial Internet of Things, Engineering and Manufacturing, Healthcare & Energy business verticals. The extensive coverage and use of the Internet of Things has made Digital Twins more cost-effective and accessible in the business environment. Few common applications of Digital Twin are:

Key Use Cases for Digital Twin Software Platforms

Digital Twin Icn
Predictive Maintenance

Statistical models can help predict failure of the asset & preventive, predictive & prescriptive maintenance can be carried out, thereby saving time, money & productivity.

Digital Twin Icn
Product Design

With Digital Twin, everything can be connected & virtually designed, validated, & tested to aid in reduced development time, improved quality, & quicker response to feedback.

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Remote Monitoring

With the help of Digital Twin, an operator can visually experience the operation of a particular asset or a plant & alert/notify or take remedial actions in case of any deviation.

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Remote Operations

With Digital Twin, one can avoid outage & automatically identify performance issues and give the insights needed to manage problems proactively.

Digital Twin
VR based Training

The field agent can be trained using virtual reality & digital twin to fix various issues in a step-by-step manner, dramatically reducing the cost of maintenance.

Digital Twin Icn

With digital twin platform we can leverage multi-physics based simulation to experiment with various what-if scenarios before actually manufacturing the product.

Pratiti’s Approach to Digital Twins

At Pratiti, we define a hierarchy of digital twins. The most common being component, asset, system, and process digital twins.

  • Component Digital Twin
    Component twin is essentially a major sub-component that has a major impact on the performance of the asset to which it belongs.
  • Asset Digital Twin
    Asset twins are collections of & informed by component twins to provide visibility at the equipment level.
  • System Digital Twin
    A system twin is a collection of assets used to provide visibility into a set of interdependent equipment.
  • Process Digital Twin
    A process twin is basically the highest level of twin that provides a view into a set of activities or operations, such as a manufacturing or supply chain or logistics processes.

We can even co-create these digital assets before physically building them. To create a virtual replica or a digital twin platform of any tangible asset, our craftsmen collect and synthesize data from a variety of sources, including physical data, manufacturing data, operational data, and analytical software insights. All this information and AI algorithms are integrated into physical-based virtual models, and by applying Analytics to these models, we gain & provide relevant insights for faster decision making. Consistent data flow helps to get the best analysis and insights about your components, assets, systems or processes which helps to optimize business results.

Digital Twin with AI

The Digital Twins work with the help of the Internet of Things. The process involves gathering real-time data with the help of smart components which are collected from sensors. This data is connected with a cloud-based system for real-time monitoring and processing of data. After analysing the data, we can perform various operations for performing business decisions.

Artificial Intelligence plays a vital part in digital twin’s foundation. The working architecture includes two main components:

Pattern Recognition

Pattern Recognition deals with behavioural aspects of the digital asset. The technologies behind predicting the life of an asset and failure systems include Advanced Machine Learning and Transfer Learning Methods.

Learning Models

This process involves building models that can be validated, monitored, and updated continuously. This is how we can help you with digital twin software platforms and solutions that will act as a real-time model of the physical device.

Digital Twin Platform is Beneficial in The Following Ways

We have proven that leveraging integrated digital twin software platforms and solutions can help firms, enterprises, and industries grow faster and operate smarter. To know more about how our patented digital twin technology can digitize your organization, contact us today.


They offer a representation of occupancy levels of a given plant, and over time, provide valuable insights into the best ways to configure building, supply processes, and workflows.

Risk Management

Assessments of different conditions help provide a risk prognosis in various areas, including product creation, logistics, marketplace reputation, and maintenance of the plant and its assets.

Product Management

The process of product development and continual improvement is empowered by digital twins. The insights provided help improve product quality and enhance performance of the plants and its assets.

Performance Improvements

They help find faulty areas, thereby, improving production processes & establishes efficient, effective supply & delivery chains.

Resource Lifetime

They help increase the reliability of assets, vehicles, production lines, and other resources. Predicting maintenance issues before breakdowns occur helps to reduce maintenance costs.

Tracking System

They help track where assets are located within a given space in a precise manner.

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Frequently Asked Questions

What is Digital Twin and How Does it Work?

Digital twins are virtual models of processes, products or services. The pairing of the virtual world and the physical world allows data analysis and system monitoring to solve problems before they occur, prevent downtime, develop new opportunities, and even plan for the future with the help of simulations. Being one of the leading Digital twin technology companies, we have injected our patented digital twin technology into our development processes to ensure predictive maintenance and health monitoring for our clients’ assets.

Digital twins are becoming a business imperative. It covers the entire life cycle of assets or processes and lays the foundation for interconnected products and services. The twins are constructed so that they can receive input from sensors that collect data from their counterparts in the real world. This allows the twins to simulate physical objects in real-time, gaining insights into performance, health and any other potential problems in your assets or processes.

Why Should You Use Digital Twin Software?

Digital twins can be used in many fields, such as healthcare, smart cities, oil and gas, smart buildings, etc. They provide a lot of insights into product usage, health of assets, process performance, customer behavior and more.

Some of the key benefits of a Digital Twin Solution are:

  • Engineers have an in-depth understanding of the actual use of the products they design.
  • Advanced methods for product / asset maintenance and management at your fingertips.
  • Can make decisions in a complex environment quickly, effectively and efficiently.
  • Can collect consumer insights and customer behavior data and preferences, can improve products and develop new products using simulations.

Who Can Use Digital Twin Software?

Digital twin technology can be used by almost all kinds of industries. Digital Twin software companies use Digital Twin technology to develop custom software solutions to help our clients improve their ongoing operations, processes and overall efficiencies, train employees and test new products or programs before they are released to the real world. Some of the prominent use cases of Digital Twin can be found in Manufacturing, Renewable Energy, Healthcare, Utilities, Disaster Management, Insurance, Smart Cities to name a few. Digital Twin is widely applied for Engineering, Design Customization, Operations & Maintenance, Asset Performance Management, Remote Assistance and Monitoring.

What Challenges Do Digital Twin Solutions Solve?

Digital Twin software services and solutions provide:

  • Transformative spatial awareness
  • Root Cause Analysis
  • Intelligent recommendations
  • Self-adjustment
  • The insights required for predictive maintenance

Digital twins can clearly explain the past, present and future performance of the product, and provide suggestions on how to improve overall efficiencies. By integrating data from IT and OT systems, IoT sensors and third-party data, digital twin can analyze the data, workflow and human behavior in the portfolio in real-time, allowing people to take immediate action to optimize performance or conditions and improve the future state of the product.

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