What Is a Digital Twin? Industrial Use Cases and Benefits
What Is a Digital Twin? Industrial Use Cases and Benefits
Imagine a high-stakes refinery turnaround where a complex piping spool is routed incorrectly, arriving on-site only to physically clash with a massive structural steel column. The consequence is immediate: all hot-work grinding halts, field engineers must scramble to re-draft plans, emergency welding crews are deployed, and an unscheduled asset shutdown incurs catastrophic baseline operational losses reaching up to $500,000 per day.
These severe project execution failures do not occur because the underlying engineering design was poor. They occur because of an obsolete reliance on a flawed data interface: the desktop blindspot.
For over three decades, capital-intensive engineering sectors have forced technical teams to validate massive, multi-gigabyte 3D files on flat, two-dimensional monitors. When an Engineering, Procurement, and Construction (EPC) firm attempts to verify intricate spatial relationships on a computer screen, the human brain cannot accurately interpret actual depth, tool accessibility, or real maintenance ergonomics.
To destroy this bottleneck, industry leaders are moving past static 3D models and adopting the industrial digital twin. By anchoring live enterprise metadata into a 1:1 scale immersive Extended Reality (XR) environment, companies convert fragmented engineering data into absolute operational clarity.
Key Takeaways
- A digital twin is a live virtual representation of a physical asset that continuously synchronizes with real-world operational data.
- Unlike traditional CAD models or simulations, digital twins combine engineering geometry, sensor data, and analytics to support real-time decision-making.
- Industries including manufacturing, oil & gas, power, mining, pharmaceuticals, and construction use digital twins to improve design reviews, predictive maintenance, operator training, and quality assurance.
- Immersive XR platforms extend digital twins by allowing engineering teams to interact with assets at true 1:1 scale before construction or maintenance begins.
- Exxar enables organizations to publish massive CAD and BIM models into immersive XR without manual optimization, coding, or data loss.
Digital Twin at a Glance
Aspect | Digital Twin |
|---|---|
Purpose | Monitor, simulate, predict, and optimize physical assets |
Data Sources | CAD, BIM, IoT, ERP, CMMS, SCADA, AI |
Common Industries | Manufacturing, Energy, Construction, Aerospace, Mining |
Business Benefits | Reduced downtime, faster design reviews, safer training, improved quality |
Immersive Experience | VR, AR, and MR enable full-scale interaction with digital twins |
What is a digital twin in industry 4.0?
An industrial digital twin is an integrated, data-driven virtual replica of a physical asset, process, or system that mirrors its real-world counterpart across its operational lifecycle. Modern digital twins often combine engineering data, IoT telemetry, maintenance records, inspection history, enterprise systems, and AI-driven analytics into a single operational view across the asset lifecycle.
A true digital twin is not a dead, isolated Computer-Aided Design (CAD) or Building Information Modeling (BIM) file sitting passively in a repository. According to the Digital Twin Consortium, a digital twin maintains a synchronized relationship between the physical asset and its virtual representation at an appropriate frequency and level of fidelity. Depending on the use case, synchronization may occur in real time, through scheduled updates, or whenever engineering and operational data changes.
This dynamic information loop functions across three distinct layers:
The Data Ingestion Layer
Hardware sensors, industrial Internet of Things (IIoT) devices, Supervisory Control and Data Acquisition (SCADA) systems, and edge cameras continuously capture live physical telemetry. This includes thermal expansion metrics, high-frequency vibration signatures, fluid flow velocities, and structural micro-displacements.
The Analytical Processing Layer
Advanced physics-based models, artificial intelligence (AI), and machine learning algorithms process raw data streams. They calculate real-time predictive insights such as Remaining Useful Life (RUL) or early-stage stress anomalies.
The Human Execution Layer
The processed spatial insights are delivered back to operations teams. When paired with immersive XR displays, this becomes an immersive digital twin. This environment allows cross-functional engineering, inspection, and maintenance teams to step directly inside their data at actual size.
How does simulation software and digital twins differ?
Feature | Traditional CAD Model | Simulation | Industrial Digital Twin |
Real-time data | ❌ | ❌ | ✅ |
Connected to IoT sensors | ❌ | ❌ | ✅ |
Predictive analytics | ❌ | Limited | ✅ |
Live operational updates | ❌ | ❌ | ✅ |
Engineering visualization | ✅ | Limited | ✅ |
XR integration | Limited | Limited | ✅ |
Supports lifecycle management | ❌ | ❌ | ✅ |
Traditional simulation software operates as a historical, static application. An engineer manually inputs fixed boundary conditions to test theoretical physics scenarios—such as finite element analysis (FEA) or computational fluid dynamics (CFD)—within an isolated sandbox. Once the computation completes, the file remains totally unchanged until a human manually initiates another run.
In contrast, a digital twin continuously evolves using engineering updates, operational data, connected sensors, or enterprise systems to reflect the asset’s current state throughout its lifecycle.
Moving From Screens to Spatial Reality
- Traditional 3D Modeling: Static CAD/BIM data ➡️ Compressed onto a 2D Screen ➡️ Lost Spatial Context ➡️ Undetected Field Rework.
- True Immersive Digital Twin: Live Native Engineering Data ➡️ 1:1 Scale XR Streaming ➡️ Instant Spatial Experience ➡️ Flawless Field Execution.
By shifting from flat monitors to full-scale immersive twins, enterprises eliminate the desktop blindspot entirely. Deploying advanced XR for CAD workflows ensures that engineers can walk through massive industrial assemblies, verify exact clearances, and check tool accessibility long before breaking ground or ordering physical materials.
How does a digital twin improve industrial training?
Onboarding technical personnel in capital-intensive, high-risk environments presents a severe operational paradox: field crews require hands-on experience to work safely, yet training on live assets introduces massive safety liabilities, asset damage risks, and catastrophic financial exposure. Immersive digital twins solve this challenge by establishing a framework for predictable, virtual operational readiness.
1. Oil Refineries and Petrochemical Plants
During complex maintenance turnarounds, field operators routinely interact with highly volatile, congested processing modules. Utilizing high-fidelity VR training environments built from the refinery floor’s digital twin, field crews can virtually navigate tight spaces to practice hazardous valve isolation sequences, line clearance procedures, and emergency shutdown protocols. By building muscle memory in a virtual replica of the exact site, teams eliminate procedural errors and compress turnaround schedules.
2. Power and Utilities Infrastructure
Field technicians managing high-voltage substations, electrical grids, and nuclear generation facilities operate under a zero-margin-for-error mandate. Utilities providers use digital twins to run step-by-step rehearsals of high-voltage grid switching and transformer isolations. This standardized, immersive training ensures absolute compliance with strict “Zero Harm” safety mandates before technicians set foot on a live site.
3. Deep-Pit and Underground Mining
Mining operations face hostile, rapidly changing environmental conditions combined with rigid regulatory frameworks like the United States Mine Safety and Health Administration (MSHA) guidelines. Under MSHA Title 30 CFR rules, operators must log extensive compliance training hours for both new and experienced miners.
By connecting live geospatial data and heavy machinery telemetry to an immersive twin, US mining companies can run distributed training programs. Haul truck operators and crushing mill technicians can navigate complex routes, manage poor visibility scenarios, and practice emergency extractions safely inside a digital sandbox without interrupting active site production or risking costly regulatory citations.
Why are digital twins critical for engineering design reviews?
The cost to modify an industrial asset escalates exponentially the further a project advances through the engineering lifecycle. Catching a geometric clash during the design phase costs next to nothing; discovering that same error on the production floor requires demolition, asset scrapping, re-fabrication, and severe timeline delays.
Project Lifecycle Phase | Relative Cost of Error Correction | Operational Penalty Impact |
Design Engineering Phase | 1 X Base Cost | Simple CAD revision, zero physical waste |
Physical Prototyping Phase | 10 X Base Cost | Material scrap, tooling adjustments, delayed verification |
Active Production Floor Phase | 100 X Base Cost | Line stoppage, demolition, field rework, major delays |
By streaming massive engineering models directly into 1:1 scale multi-user environments, cross-functional engineering teams and EPC contractors can execute continuous digital design validation to eliminate errors before fabrication begins.
1. Industrial Equipment and Heavy Machinery Manufacturing
For manufacturers of massive industrial machinery—such as gas turbines, complex robotic cells, or subsea pumping units—physical prototyping is financially restrictive. Moving VR design reviews into 1:1 scale immersive spaces allows engineers to physically inspect large assemblies, check component reachability, and test tool clearances.
According to data compiled by SOLIDWORKS, implementing an enterprise-grade immersive design review workflow compresses engineering review timelines by up to 89% and slashes post-design changes on the shop floor by 92%.
2. Pharmaceutical Manufacturing and Cleanroom Validation
Sterile cleanrooms and complex clean-in-place (CIP) piping networks require perfect execution to satisfy strict contamination control laws, Food and Drug Administration (FDA) regulations, and international safety audits. Immersive twins allow bio-pharma engineers to walk through the facility virtually during the layout phase, validating air-handling placements, glove box ergonomics, and sterile fluid paths before welding stainless steel components.
How do digital twins streamline construction inspections?
Field quality control has historically relied on manual, reactive inspections using paper drawings and 2D layouts. This methodology frequently fails to catch subtle spatial errors, such as a cable tray obstructing a vital maintenance access corridor or piping spools exceeding engineering tolerances.
An immersive digital twin redefines quality assurance (QA) and quality control (QC) by serving as an unalterable spatial record of the physical asset. By integrating reality capture, LiDAR point clouds, and live building information modeling (BIM) plugins, quality control teams can overlay the intended engineering design directly onto the physical environment.
Using advanced tools like Construction AI AR software on mobile edge devices, site foremen can instantly compare physical infrastructure against the digital blueprint. The platform flags geometric variations, structural misalignments, or missing components down to the exact millimeter, logging the fault severity directly onto the asset’s digital twin profile to ensure errors are caught long before commissioning.
How does Exxar solve digital twin deployment bottlenecks?
While the operational advantages of digital twins are substantial, typical enterprise initiatives stall due to a major technical bottleneck: the traditional data optimization pipeline.
Historically, preparing a multi-gigabyte industrial CAD or BIM dataset for an interactive virtual reality (VR) or extended reality (XR) space required weeks of manual software development. Engineering models had to be heavily optimized, polygon counts reduced, and assets rebuilt inside gaming engines. This legacy process introduces severe operational points of failure:
- Destructive Data Loss: Polygon reduction strips away the precise engineering tolerances, exact spatial coordinates, and foundational metadata required for accurate inspections and design validations.
- Siloed Lifecycles: The moment an engineer makes an update in the master CAD file, the optimized virtual asset becomes obsolete, resetting the manual data optimization pipeline.
The Exxar Solution: Zero-Code, Lossless CAD-to-VR Streaming
Exxar eliminates this workflow friction entirely by offering an enterprise-grade platform built for seamless CAD to VR streaming without data degradation.
Featuring native, 1-click publishing plugins that connect directly to major industrial applications—including SOLIDWORKS, Navisworks, Catia, Aveva Marine, and Siemens NX—Exxar bypasses the data conversion process completely. Massive, complex industrial datasets from systems like Solidworks VR or Navisworks VR are streamed directly into ultra-secure, 1:1 scale immersive XR environments with zero data loss and zero coding required.
By preserving complete metadata integrity and mathematical precision without developer overhead, Exxar transforms the digital twin from a static, flat dashboard into an active collaborative space. Across sectors like Aerospace, Process Plant development, Shipbuilding, Automotive, and other manufacturing plants, global teams can bridge the gap between heavy engineering files and spatial reality, turning complexity into absolute operational certainty.
Frequently Asked Questions
A digital twin is a virtual representation of a physical asset that continuously synchronizes with real-world operational data, enabling monitoring, simulation, analysis, and optimization throughout its lifecycle.
No. A CAD model represents geometry, while a digital twin combines engineering data with live operational information, sensor inputs, and analytics to reflect the asset’s current condition.
Manufacturing, oil and gas, construction, mining, aerospace, energy, automotive, pharmaceuticals, and marine engineering are among the industries using digital twins to improve efficiency, safety, and decision-making.
XR technologies such as virtual reality (VR), augmented reality (AR), and mixed reality (MR) enable users to interact with digital twins at full scale for design reviews, training, maintenance planning, and collaboration.
No. Exxar streams native engineering models directly into immersive XR environments without polygon reduction, manual optimization, or custom game-engine development, preserving engineering accuracy and metadata.
Stop wasting weeks on manual data optimization and game-engine coding. With Exxar, you can stream massive, uncompromised assets directly from SOLIDWORKS, Navisworks, CATIA, AVEVA, or Siemens NX into a secure, 1:1 scale immersive XR environment with a single click.
Whether you’re validating a refinery, reviewing a ship, planning a manufacturing facility, or training operators in a risk-free environment, immersive digital twins enable teams to identify issues earlier, collaborate more effectively, and make better engineering decisions before work reaches the field.
Schedule a strategy call with an Exxar expert today to eliminate the desktop blind spot.
Imagine a high-stakes refinery turnaround where a complex piping spool is routed incorrectly, arriving on-site only to physically clash with a massive structural steel column. The consequence is immediate: all hot-work grinding halts, field engineers must scramble to re-draft plans, emergency welding crews are deployed, and an unscheduled asset shutdown incurs catastrophic baseline operational losses reaching up to $500,000 per day.
These severe project execution failures do not occur because the underlying engineering design was poor. They occur because of an obsolete reliance on a flawed data interface: the desktop blindspot.
For over three decades, capital-intensive engineering sectors have forced technical teams to validate massive, multi-gigabyte 3D files on flat, two-dimensional monitors. When an Engineering, Procurement, and Construction (EPC) firm attempts to verify intricate spatial relationships on a computer screen, the human brain cannot accurately interpret actual depth, tool accessibility, or real maintenance ergonomics.
To destroy this bottleneck, industry leaders are moving past static 3D models and adopting the industrial digital twin. By anchoring live enterprise metadata into a 1:1 scale immersive Extended Reality (XR) environment, companies convert fragmented engineering data into absolute operational clarity.
Key Takeaways
- A digital twin is a live virtual representation of a physical asset that continuously synchronizes with real-world operational data.
- Unlike traditional CAD models or simulations, digital twins combine engineering geometry, sensor data, and analytics to support real-time decision-making.
- Industries including manufacturing, oil & gas, power, mining, pharmaceuticals, and construction use digital twins to improve design reviews, predictive maintenance, operator training, and quality assurance.
- Immersive XR platforms extend digital twins by allowing engineering teams to interact with assets at true 1:1 scale before construction or maintenance begins.
- Exxar enables organizations to publish massive CAD and BIM models into immersive XR without manual optimization, coding, or data loss.
Digital Twin at a Glance
Aspect | Digital Twin |
|---|---|
Purpose | Monitor, simulate, predict, and optimize physical assets |
Data Sources | CAD, BIM, IoT, ERP, CMMS, SCADA, AI |
Common Industries | Manufacturing, Energy, Construction, Aerospace, Mining |
Business Benefits | Reduced downtime, faster design reviews, safer training, improved quality |
Immersive Experience | VR, AR, and MR enable full-scale interaction with digital twins |
What is a digital twin in industry 4.0?
An industrial digital twin is an integrated, data-driven virtual replica of a physical asset, process, or system that mirrors its real-world counterpart across its operational lifecycle. Modern digital twins often combine engineering data, IoT telemetry, maintenance records, inspection history, enterprise systems, and AI-driven analytics into a single operational view across the asset lifecycle.
A true digital twin is not a dead, isolated Computer-Aided Design (CAD) or Building Information Modeling (BIM) file sitting passively in a repository. According to the Digital Twin Consortium, a digital twin maintains a synchronized relationship between the physical asset and its virtual representation at an appropriate frequency and level of fidelity. Depending on the use case, synchronization may occur in real time, through scheduled updates, or whenever engineering and operational data changes.
This dynamic information loop functions across three distinct layers:
The Data Ingestion Layer
Hardware sensors, industrial Internet of Things (IIoT) devices, Supervisory Control and Data Acquisition (SCADA) systems, and edge cameras continuously capture live physical telemetry. This includes thermal expansion metrics, high-frequency vibration signatures, fluid flow velocities, and structural micro-displacements.
The Analytical Processing Layer
Advanced physics-based models, artificial intelligence (AI), and machine learning algorithms process raw data streams. They calculate real-time predictive insights such as Remaining Useful Life (RUL) or early-stage stress anomalies.
The Human Execution Layer
The processed spatial insights are delivered back to operations teams. When paired with immersive XR displays, this becomes an immersive digital twin. This environment allows cross-functional engineering, inspection, and maintenance teams to step directly inside their data at actual size.
How does simulation software and digital twins differ?
Feature | Traditional CAD Model | Simulation | Industrial Digital Twin |
Real-time data | ❌ | ❌ | ✅ |
Connected to IoT sensors | ❌ | ❌ | ✅ |
Predictive analytics | ❌ | Limited | ✅ |
Live operational updates | ❌ | ❌ | ✅ |
Engineering visualization | ✅ | Limited | ✅ |
XR integration | Limited | Limited | ✅ |
Supports lifecycle management | ❌ | ❌ | ✅ |
Traditional simulation software operates as a historical, static application. An engineer manually inputs fixed boundary conditions to test theoretical physics scenarios—such as finite element analysis (FEA) or computational fluid dynamics (CFD)—within an isolated sandbox. Once the computation completes, the file remains totally unchanged until a human manually initiates another run.
In contrast, a digital twin continuously evolves using engineering updates, operational data, connected sensors, or enterprise systems to reflect the asset’s current state throughout its lifecycle.
Moving From Screens to Spatial Reality
- Traditional 3D Modeling: Static CAD/BIM data ➡️ Compressed onto a 2D Screen ➡️ Lost Spatial Context ➡️ Undetected Field Rework.
- True Immersive Digital Twin: Live Native Engineering Data ➡️ 1:1 Scale XR Streaming ➡️ Instant Spatial Experience ➡️ Flawless Field Execution.
By shifting from flat monitors to full-scale immersive twins, enterprises eliminate the desktop blindspot entirely. Deploying advanced XR for CAD workflows ensures that engineers can walk through massive industrial assemblies, verify exact clearances, and check tool accessibility long before breaking ground or ordering physical materials.
How does a digital twin improve industrial training?
Onboarding technical personnel in capital-intensive, high-risk environments presents a severe operational paradox: field crews require hands-on experience to work safely, yet training on live assets introduces massive safety liabilities, asset damage risks, and catastrophic financial exposure. Immersive digital twins solve this challenge by establishing a framework for predictable, virtual operational readiness.
1. Oil Refineries and Petrochemical Plants
During complex maintenance turnarounds, field operators routinely interact with highly volatile, congested processing modules. Utilizing high-fidelity VR training environments built from the refinery floor’s digital twin, field crews can virtually navigate tight spaces to practice hazardous valve isolation sequences, line clearance procedures, and emergency shutdown protocols. By building muscle memory in a virtual replica of the exact site, teams eliminate procedural errors and compress turnaround schedules.
2. Power and Utilities Infrastructure
Field technicians managing high-voltage substations, electrical grids, and nuclear generation facilities operate under a zero-margin-for-error mandate. Utilities providers use digital twins to run step-by-step rehearsals of high-voltage grid switching and transformer isolations. This standardized, immersive training ensures absolute compliance with strict “Zero Harm” safety mandates before technicians set foot on a live site.
3. Deep-Pit and Underground Mining
Mining operations face hostile, rapidly changing environmental conditions combined with rigid regulatory frameworks like the United States Mine Safety and Health Administration (MSHA) guidelines. Under MSHA Title 30 CFR rules, operators must log extensive compliance training hours for both new and experienced miners.
By connecting live geospatial data and heavy machinery telemetry to an immersive twin, US mining companies can run distributed training programs. Haul truck operators and crushing mill technicians can navigate complex routes, manage poor visibility scenarios, and practice emergency extractions safely inside a digital sandbox without interrupting active site production or risking costly regulatory citations.
Why are digital twins critical for engineering design reviews?
The cost to modify an industrial asset escalates exponentially the further a project advances through the engineering lifecycle. Catching a geometric clash during the design phase costs next to nothing; discovering that same error on the production floor requires demolition, asset scrapping, re-fabrication, and severe timeline delays.
Project Lifecycle Phase | Relative Cost of Error Correction | Operational Penalty Impact |
Design Engineering Phase | 1 X Base Cost | Simple CAD revision, zero physical waste |
Physical Prototyping Phase | 10 X Base Cost | Material scrap, tooling adjustments, delayed verification |
Active Production Floor Phase | 100 X Base Cost | Line stoppage, demolition, field rework, major delays |
By streaming massive engineering models directly into 1:1 scale multi-user environments, cross-functional engineering teams and EPC contractors can execute continuous digital design validation to eliminate errors before fabrication begins.
1. Industrial Equipment and Heavy Machinery Manufacturing
For manufacturers of massive industrial machinery—such as gas turbines, complex robotic cells, or subsea pumping units—physical prototyping is financially restrictive. Moving VR design reviews into 1:1 scale immersive spaces allows engineers to physically inspect large assemblies, check component reachability, and test tool clearances.
According to data compiled by SOLIDWORKS, implementing an enterprise-grade immersive design review workflow compresses engineering review timelines by up to 89% and slashes post-design changes on the shop floor by 92%.
2. Pharmaceutical Manufacturing and Cleanroom Validation
Sterile cleanrooms and complex clean-in-place (CIP) piping networks require perfect execution to satisfy strict contamination control laws, Food and Drug Administration (FDA) regulations, and international safety audits. Immersive twins allow bio-pharma engineers to walk through the facility virtually during the layout phase, validating air-handling placements, glove box ergonomics, and sterile fluid paths before welding stainless steel components.
How do digital twins streamline construction inspections?
Field quality control has historically relied on manual, reactive inspections using paper drawings and 2D layouts. This methodology frequently fails to catch subtle spatial errors, such as a cable tray obstructing a vital maintenance access corridor or piping spools exceeding engineering tolerances.
An immersive digital twin redefines quality assurance (QA) and quality control (QC) by serving as an unalterable spatial record of the physical asset. By integrating reality capture, LiDAR point clouds, and live building information modeling (BIM) plugins, quality control teams can overlay the intended engineering design directly onto the physical environment.
Using advanced tools like Construction AI AR software on mobile edge devices, site foremen can instantly compare physical infrastructure against the digital blueprint. The platform flags geometric variations, structural misalignments, or missing components down to the exact millimeter, logging the fault severity directly onto the asset’s digital twin profile to ensure errors are caught long before commissioning.
How does Exxar solve digital twin deployment bottlenecks?
While the operational advantages of digital twins are substantial, typical enterprise initiatives stall due to a major technical bottleneck: the traditional data optimization pipeline.
Historically, preparing a multi-gigabyte industrial CAD or BIM dataset for an interactive virtual reality (VR) or extended reality (XR) space required weeks of manual software development. Engineering models had to be heavily optimized, polygon counts reduced, and assets rebuilt inside gaming engines. This legacy process introduces severe operational points of failure:
- Destructive Data Loss: Polygon reduction strips away the precise engineering tolerances, exact spatial coordinates, and foundational metadata required for accurate inspections and design validations.
- Siloed Lifecycles: The moment an engineer makes an update in the master CAD file, the optimized virtual asset becomes obsolete, resetting the manual data optimization pipeline.
The Exxar Solution: Zero-Code, Lossless CAD-to-VR Streaming
Exxar eliminates this workflow friction entirely by offering an enterprise-grade platform built for seamless CAD to VR streaming without data degradation.
Featuring native, 1-click publishing plugins that connect directly to major industrial applications—including SOLIDWORKS, Navisworks, Catia, Aveva Marine, and Siemens NX—Exxar bypasses the data conversion process completely. Massive, complex industrial datasets from systems like Solidworks VR or Navisworks VR are streamed directly into ultra-secure, 1:1 scale immersive XR environments with zero data loss and zero coding required.
By preserving complete metadata integrity and mathematical precision without developer overhead, Exxar transforms the digital twin from a static, flat dashboard into an active collaborative space. Across sectors like Aerospace, Process Plant development, Shipbuilding, Automotive, and other manufacturing plants, global teams can bridge the gap between heavy engineering files and spatial reality, turning complexity into absolute operational certainty.
Frequently Asked Questions
A digital twin is a virtual representation of a physical asset that continuously synchronizes with real-world operational data, enabling monitoring, simulation, analysis, and optimization throughout its lifecycle.
No. A CAD model represents geometry, while a digital twin combines engineering data with live operational information, sensor inputs, and analytics to reflect the asset’s current condition.
Manufacturing, oil and gas, construction, mining, aerospace, energy, automotive, pharmaceuticals, and marine engineering are among the industries using digital twins to improve efficiency, safety, and decision-making.
XR technologies such as virtual reality (VR), augmented reality (AR), and mixed reality (MR) enable users to interact with digital twins at full scale for design reviews, training, maintenance planning, and collaboration.
No. Exxar streams native engineering models directly into immersive XR environments without polygon reduction, manual optimization, or custom game-engine development, preserving engineering accuracy and metadata.
Stop wasting weeks on manual data optimization and game-engine coding. With Exxar, you can stream massive, uncompromised assets directly from SOLIDWORKS, Navisworks, CATIA, AVEVA, or Siemens NX into a secure, 1:1 scale immersive XR environment with a single click.
Whether you’re validating a refinery, reviewing a ship, planning a manufacturing facility, or training operators in a risk-free environment, immersive digital twins enable teams to identify issues earlier, collaborate more effectively, and make better engineering decisions before work reaches the field.
Schedule a strategy call with an Exxar expert today to eliminate the desktop blind spot.
