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Get Certified Autodesk Tandem Experts

Harness the Power of Autodesk Tandem and BIM Technology

By combining BIM’s 3D modeling capabilities with the real-time data and simulation features of digital twins, our Autodesk Tandem experts empower organizations with an advanced platform for efficient design, construction, and ongoing management of assets as they evolve through their lifecycle, ensuring optimal performance and sustainability.

Descriptive Twin

The Descriptive Twin is the first level in Autodesk’s digital twin lifecycle. This level is the foundation for all of a physical asset’s data. The Descriptive Twin provides users with real-time information about a physical asset, such as a building or facility, through a live and interactive experience. The asset’s static characteristics, such as its geometry, materials, and initial conditions are captured at this level and incorporated into a virtual model representing the asset’s real-world structure with total precision.


Informative Twin

The Informative Twin elevates the Descriptive Twin by providing additional layers of operational and sensory data. This second level within Autodesk’s digital twin evolution goes beyond static attributes and secures real-time information, such as sensor readings, performance metrics, and environmental conditions. By integrating live data from IoT devices and other monitoring systems, we enable the Informative Twin to analyze the asset’s current state, recognize patterns, and predict possible issues. This level of insight facilitates informed decisions, optimized asset performance, and improved operational efficiency.


Predictive Twin

The Predictive Twin in Autodesk's digital twin lifecycle takes the Informative Twin to the third stage in its evolution by analyzing operational data to deliver valuable insights and forecasts. The Predictive Twin can forecast the physical asset’s possible future conditions and performance trends by applying advanced analytics, ML algorithms, and AI. This preemptive approach allows stakeholders to determine maintenance needs, restructure resource allocation, and avert potential failures. The Predictive Twin uses real-time data and predictive modeling to ensure efficient asset management and maximizes the asset's lifespan.


Comprehensive Twin

The Comprehensive Twin offers a powerful simulation platform for examining future what-if scenarios. At the fourth level, the digital twin becomes an advanced virtual replica of the physical asset, adept at modeling complex interactions and simulating several operational conditions. Our expert-level programming enables testing different strategies, modifications, and interventions to evaluate their potential impact on the asset's performance. The Comprehensive Twin’s ability to predict outcomes allows decision makers to proactively optimize asset design, operations, and maintenance, resulting in more robust and proficient systems in the real world.


Autonomous Twin

The Autonomous Twin possesses the remarkable ability to learn and act on behalf of users. This level is defined by our integration of sophisticated AI and autonomous decision-making capabilities. Through continuous data analysis and ML algorithms, the Autonomous Twin can identify patterns, isolate anomalies, and optimize performance autonomously. It can intuitively perform actions, such as self-healing, self-optimization, and predictive maintenance, with no human involvement. This level of automation allows organizations to realize unprecedented levels of efficiency, reliability, and sustainability in their assets and operations.

AI-Powered Digital Twin Solutions

Our dedicated AI specialists skillfully integrate AI technologies into digital twin technology, programming advanced algorithms to facilitate real-time data analysis, predictive modeling, and autonomous decision-making. We equip organizations with intelligent insights and automation, optimizing asset performance and operational efficiency across industries.

Data Analysis and Predictive Maintenance

Our digital programming experts implement AI to evaluate sensor data and other real-time data streams from assets and infrastructure depicted in the digital twin. By applying ML algorithms, Autodesk Tandem can identify patterns, anomalies, and potential failures. These competencies enable predictive maintenance, allowing users to schedule maintenance proactively, minimizing downtime and operational expenses.

Simulation and Optimization

We employ AI to accelerate simulation and optimization processes in Autodesk digital twin applications. By incorporating AI-driven optimization algorithms to enhance Autodesk software solutions, engineers and designers can quickly identify the best design configurations for products or infrastructure, factoring in various performance parameters and constraints.

Generative Design

Our Autodesk Tandem experts enable generative design in digital twin applications by developing algorithms and simulations to produce virtual replicas of physical assets or processes. Generative design leverages AI to generate multiple design iterations, adjusting parameters for optimal performance, cost, or other factors. This feature allows stakeholders to evaluate and improve the real-world counterpart's behavior, identify potential issues, and streamline performance. By iteratively perfecting designs in the virtual environment, stakeholders can improve the physical system's efficiency and reliability, supporting better decision-making and reducing development expenses.

Image and Video Analysis

Our digital transformation experts integrate AI-powered image and video analysis in digital twin solutions to obtain critical insights from visual data. AI algorithms can detect objects, patterns, and anomalies, enabling automatic monitoring and analysis of real-world assets or processes. This integration augments the digital twin's capabilities, allowing stakeholders to make educated decisions, plan for maintenance needs, identify potential risks, and maximize performance. Combining AI and digital twin technology empowers industries to increase efficiency, safety, and reliability across applications.

Machine Learning for Anomaly Detection

Our dedicated AI specialists employ machine learning for anomaly detection in digital twin solutions by training algorithms to recognize normal behavior patterns of the physical asset. These machine learning models can continuously analyze real-time data from the digital twin to identify deviations from the expected behavior, indicating potential faults. By integrating machine learning into digital twins, proactive maintenance, early anomaly detection, and improved operational efficiency result in less downtime and improved overall performance.

Scheduling and Resource Optimization

We enable AI-powered scheduling and resource optimization in digital twin solutions by deploying advanced algorithms to analyze data from the virtual model and real-world processes. AI optimizes schedules, resource allocation, and task sequencing to foster higher efficiency and productivity. By simulating possible scenarios and factoring in certain constraints, stakeholders can make intelligent decisions, reduce costs and downtime, and elevate overall performance. AI's integration with digital twins empowers industries to simplify operations, correct resource utilization, and streamline complex workflows for better outcomes.

Industry Solutions

As a certified Autodesk partner, Chetu provides customized Autodesk digital twin solutions to meet the specific needs of businesses across different sectors, including architecture, engineering, construction, manufacturing, and more.

Architecture and Building Design

Autodesk's digital twin applications deliver unparalleled solutions in architecture and building design by producing true-to-life representations of buildings and infrastructure with precision. These applications utilize Building Information Modeling (BIM) data to create accurate 3D models, granting architects, engineers, and construction professionals the ability to visualize, simulate, and analyze building designs prior to construction. With AI-powered tools, they can improve energy efficiency, execute clash detection, evaluate structural integrity, and simulate real-world conditions, leading to more efficient and sustainable building design and construction practices.


Autodesk's digital twin technology equips the construction industry with remarkable solutions by producing exact simulations of physical construction projects. These applications use BIM data to construct a complete 3D model that captures every building process phase. Construction professionals can use the virtual twin to plan construction sequences, simulate different circumstances, pinpoint potential conflicts, oversee construction schedules, and proficiently coordinate resources. By leveraging digital twins, construction projects can be planned, monitored, and executed better, resulting in improved productivity, greater cost savings, and minimized risks.

Infrastructure and Facilities Management

Autodesk's digital twin applications offer valuable infrastructure and facilities management solutions by providing detailed virtual representations of physical assets and facilities. These applications apply BIM data and other real-time sensor data to create up-to-date digital twins of infrastructure and buildings with precision. Facility managers can access their virtual twin to monitor asset performance, track maintenance requirements, and forecast equipment failures. With AI-powered analytics, they can streamline space utilization, energy consumption, and maintenance schedules.


Autodesk's digital twin applications implement instrumental solutions in manufacturing by constructing a virtual replica of physical production processes and equipment. These applications use cutting-edge simulations and real-time data integration to generate digital twins that reflect the manufacturing environment. Manufacturers can utilize digital twins to streamline production workflows, evaluate performance, predict maintenance needs, and simulate different scenarios for process enhancement. By leveraging digital twins, manufacturers can boost efficiency, minimize downtime, reduce risk, and actualize data-driven decisions to improve product quality and manufacturing operations.

Autodesk Digital Twin Development Services

Autodesk Tandem

Autodesk Tandem

We integrate Autodesk Tandem in existing enterprise applications to enhance digital twin technology. Tandem facilitates the seamless exchange of BIM data, allowing real-time collaboration and information sharing among stakeholders throughout a project's lifecycle. Our Autodesk Tandem developers leverage it's APIs to facilitate data synchronization, visualization, and analysis, ensuring that digital twins remain current and accurate. This integration delivers more robust and efficient digital twin solutions, benefitting industries with improved collaboration, management, and project outcomes.

Autodesk Revit

Our digital twin technology specialists integrate Autodesk Revit to enhance building and infrastructure management. By leveraging Revit's BIM capabilities, we create accurate 3D models of physical assets. These models are the foundation for digital twins, enabling real-time visualization, data analysis, and performance monitoring. With Revit's APIs, we can seamlessly connect digital twins to live data streams, expediting dynamic updates and predictive analytics. This integration allows us to build robust digital twin solutions that optimize asset management, maintenance, and operational efficiency across industries.

Autodesk InfraWorks

We integrate Autodesk InfraWorks into digital twin technology to revolutionize infrastructure management. We implement InfraWorks to create accurate and detailed 3D models of infrastructure projects. Using InfraWorks' capabilities, we can simulate real-world conditions, analyze scenarios, and streamline performance. Our software engineers can establish a connection between the digital twin and real-time data sources though APIs, facilitating continuous updates and predictive insights. This integration enables us to build robust digital twin solutions that enhance infrastructure planning, design, and operational efficiency.


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