We engineer “digital twins”: the central concept that enables companies to continuously gather, aggregate and analyze information across the boundaries of the physical and digital domains in order to gain insights, evaluate decisions and take actions.

The digital twin is at the heart of any digitalization effort. It is an evolving digital profile of the historical and current properties of a real-world object (e.g. manufacturing equipment) or process (e.g. bioprocessing stage). It encapsulates information about the object’s structure, behavior and usage context.

We are constantly developing a toolkit specifically for designing digital twins. Our method generates early business value from implementing a core solution while providing the conceptual underpinning geared towards extensibility and scalability.

We engineer “digital twins”: the central concept that enables companies to continuously gather, aggregate and analyze information across the boundaries of the physical and digital domains in order to gain insights, evaluate decisions and take actions.

The digital twin is at the heart of any digitalization effort. It is an evolving digital profile of the historical and current properties of a real-world object (e.g. manufacturing equipment) or process (e.g. bioprocessing stage). It encapsulates information about the object’s structure, behavior and usage context.

We are constantly developing a toolkit specifically for designing digital twins. Our method generates early business value from implementing a core solution while providing the conceptual underpinning geared towards extensibility and scalability.

The digital twin is at the heart of any digitalization effort. It is an evolving digital profile of the historical and current properties of a real-world object (e.g. production batch) or process (e.g. bioprocessing step). It encapsulates information about the object’s structure, behavior and usage context.

We are constantly developing a toolkit specifically for designing digital twins. Our method generates early business value from implementing a core solution while providing the conceptual underpinning geared towards extendibility and scalability.

We engineer “digital twins”: the central concept that enables companies to continuously gather, aggregate and analyze information across the boundaries of the physical and digital domains in order to gain insights, evaluate decisions and take actions.

The digital twin is at the heart of any digitalization effort. It is an evolving digital profile of the historical and current properties of a real-world object (e.g. manufacturing equipment) or process (e.g. bioprocessing stage). It encapsulates information about the object’s structure, behavior and usage context.

We are constantly developing a toolkit specifically for designing digital twins. Our method generates early business value from implementing a core solution while providing the conceptual underpinning geared towards extensibility and scalability.