Welcome to the COGNIMAN Toolbox
Build smarter, ethical and future-ready digital twins.
COGNIMAN Architecture
The architecture comprises of seven key layers.
Physical
The real-world systems: machines, devices or processes equipped with sensors and actuators that collect data for the digital twin.
Data
Collects, stores and manages data from sensors and devices, powering accurate and reliable digital twin models.
Digital twin
A real-time virtual model of the physical system—built from sensor data and context. It mirrors behavior, runs simulations and supports smart decisions.
Service
Turns digital twin data into insights using models, analytics and simulations—helping optimise performance and guide decisions.
User interface
Visual tools like screens, dashboards or virtual views that help people see and interact with the digital twin in real time.
Connectivity and integration
Makes sure all parts of the system—physical machines, data, digital models and user tools—can talk to each other smoothly and reliably.
Social Science and ethics
Ensures digital twins are used responsibly—protecting privacy, respecting laws and considering the impact on people and society.
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Check out the full list of COGNIMAN components in each layer.
Join community discussions, share insights and see how others are using the COGNIMAN Toolbox.
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