The design and technology implementation phase pays special attention to all building, plant, and sensor components to ensure maximum effectiveness against the most significant parameters for the WellNest approach. The design is based on the assumption that people live and move in physical environments from which information represented by digital data and signals can be acquired. 
The primary objective of the WellNest approach is to design an ecosystem of technology components, combining traditional signal and data interfaces and adaptive multimodal interfaces based on the ability to extract from text, vision, speech, gestures, and with advanced visualization and navigation techniques, to acquire and collect this information making the environment interconnected and collaborative.

By modeling this information through a cognitive computing platform based on intelligent artificial networks, a “symbiotic cognitive environment” can be brought to life, enabling the construction of a new cognitive knowledge base capable of supporting complex decision-making processes to support user needs and concepts of well-being, safety and security. 

This intelligent and modular architecture can adapt to multiple scenarios, processes and users, realizing a “digital twin” of the physical environment. The architecture can dynamically evolve and refine itself by increasing “situational and context awareness.”