Digital Twin Solutions

Agile. Innovative. Intelligent.

When digital twins first hit the scene, they were primarily used to model, test, and analyze one device or system at a time—a single turbine on a passenger jet, for example. Now, with wider adoption, increased scale, and the integration of artificial intelligence (AI), whole chains of digital twins can be seamlessly linked together to model not only an entire jet with all its complexly interacting systems, but the assembly lines that built the jet, the factory that houses those assembly lines, and even the entire city where that factory is located.

With an always-on, two-way conduit between the physical world and its virtual replica, organizations can simulate possibilities with an unprecedented degree of speed, realism, and cost efficiency. Given such power, it’s suddenly not only possible, but practical to test and plan for even the most unlikely of impactful scenarios.

Benefits of Digital Twins

This pairing of the virtual and physical worlds opens the door to sophisticated analysis of data and monitoring of systems. Organizations can use digital twins to mitigate problems before they occur, reduce downtime, optimize business value, and change the way they innovate and iterate. 

Additional benefits include:

Capacity for Context: By knowing current context and predicting the future state of a digital twin, you can effectively monitor, simulate, and control an asset or process, and optimize lifecycles.

Enterprise Collaboration: When built on an intuitive platform designed for technical and non-technical users, a digital twin can capture a complete picture that is universally accessed and constantly refined.

Comprehensive Simulation: While virtual prototypes and models are useful in simulating single components, digital twins combine all components to simulate a whole machine, system of systems, or even an entire enterprise across the past, present, or future.

A fighter jet alongside its digital twin shown in blue.

Common Use Cases

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Systems and Design

Design and test new prototypes or entire systems prior to implementation.

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Simulate planning decisions or “what if” scenarios and assess the impact.

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Monitor operations using real-world data to improve safety and efficiency.

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