Manufacturing

Smarter Factories with AI-Powered Digital Twins

goal

Challenge Faced

Manufacturers often lack real-time visibility into operations. Testing process changes physically is costly, time-consuming, and risky.

solution

Our Solution

We implemented digital twins that simulate entire production lines, allowing factories to test, optimize, and scale operations virtually.

Tools we used

Unreal Engine

Approach

Step-by-Step Workflow

Step 1

Create 3D replicas of production lines & equipment.

Step 2

Feed real-time IoT and machine data into simulations.

Step 3

Run “what-if” scenarios (new workflows, load changes).

Step 4

Optimize production flow before making real-world changes.

Quantifiable Benefits

Faster production optimization cycles
%
Reduction in energy and resource waste
0 %
Improvement in capacity planning accuracy
%
Lower costs from avoiding trial-and-error adjustments
0 %

Who’s Using This

Siemens, BMW, Rolls Royce

Innovation 1

Smart factories in automotive, energy, and aerospace sectors

Innovation-2

Why It Matters

Digital twins bring predictive visibility, efficiency, and innovation into modern manufacturing.

case studies

Real Results. Real Impact.

See how these use cases helped industry leaders transform operations with AI & XR.

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