Digital Twin Smart Homes Testbeds
- October 8, 2025
- William Payne

The Digital Twin Consortium (DTC) has added eight new testbeds to its Digital Twin Testbed Programme, including two that relate to smart homes. It brings the total digital twin testbeds in the programme to 16.
The Q-Smart testbed validates a cognitive, secure, self-learning platform-independent intelligent home system built on decentralised open-source components. It creates a personal cognitive hub using wireless mesh networks, dynamic live 3D models (digital twins), multi-agentic AI frameworks, and XR interfaces for energy optimisation and indoor air quality management. The system emphasises edge-native processing, ensuring all data remains within the home while leveraging quantum-safe (PQC-ready) protocols for future-proof security. By focusing on self-learning algorithms, it predicts and controls home aspects like HVAC and ventilation, reducing energy consumption by up to 25% and enhancing occupant comfort.
The lead developer is Swedish digital twin and carbon-neutral real estate specialist WINNIO AB.
The TRANSFORM testbed uses digital twins to create dynamic live 3D models of homes, which serve as virtual representations of the physical environment. The digital twins are integrated with wireless mesh networks, sensors, and self-learning AI frameworks to monitor and predict home conditions. They enable human-system AI interactions through XR interfaces, allowing for intuitive control and feedback for energy optimisation and indoor air quality management. The testbed can be used for various applications, such as smart city infrastructure, transportation, utilities, and emergency services.
The lead developer is Austin-based spatial intelligence firm EDX Technologies, with co-developer UK-based Crysp.
A third testbed is FAB, a factory-in-a-box: a way of transporting an entire factory rapdily to a disaster zone to allow instant digital-twin enabled manufacturing in an emergency.
“Q-SMART turns every home into an edge native, quantum-secure, self-learning organism — where energy, comfort, and security evolve together at the speed of intelligence. With algorithms trained and developed in smart building conditions for 10,000s of hours, we combine cutting-edge technology with explainable AI to make buildings aware of what they need to be aware of. This innovation makes it possible for true resiliency at scale, where data stays local, and secure, anonymised insights go global. This is made for a world where humans are in control and AI is in the loop,” said Nicholas Waern, CEO & Founder at Winniio.
“We’re excited to announce these innovative digital twin testbeds,” said Dan Isaacs, GM & CTO of the DTC. “We’re seeing strong interest from members worldwide in participating in our collaborative testbed programme. Our members already utilise this programme to develop and adopt AI-powered intelligent digital twins, generative AI digital twins, and other enabling technologies, advancing the core technologies that drive tomorrow’s digital transformation.”








