Manufacturing - Extended Reality
Powered Digital Twins Prevent Machine Downtime with
goal
Challenge Faced
Manufacturers often struggle with unplanned equipment breakdowns, costly downtime, and lack of real-time visibility into asset health. Traditional monitoring systems fail to deliver predictive insights and immersive context for on-site technicians.
solution
Our Solution
We developed a predictive maintenance system that combines XR interfaces with real-time digital twin data to monitor and maintain industrial assets.
Tools we used
Approach
Step-by-Step Workflow
Step 1
Create real-time digital twins of key factory assets using IoT and CAD data.
Step 2
Integrate sensor feeds for temperature, vibration, and usage metrics.
Step 3
Use AI/ML models to analyze historical patterns and predict failures.
Step 4
Enable XR visualization of asset health in AR headsets or mobile XR apps.
Step 5
Guide technicians with step-by-step XR maintenance workflows when alerts are triggered.
Quantifiable Benefits
Who’s Using This
For predictive asset maintenance across industrial turbines
To visualize factory equipment states in real-time
XR tools for predictive alerts and repair workflows
Why It Matters
Downtime in manufacturing directly impacts revenue and productivity. By using AI and XR together, businesses gain real-time visibility, reduce costly interruptions, and extend the lifespan of critical assets - all while empowering field teams with intuitive, immersive guidance.
case studies
Real Results. Real Impact.
See how these use cases helped industry leaders transform operations with AI & XR.