Testbed Xn (TXN) is Dig-IT Lab’s ecosystem for testing and validating digital solutions and practices in real buildings. It is demand-driven. Every project starts from a real partner challenge.
What makes TXN distinctive is how it works. Building owners contribute buildings, equipment and data. Companies bring products and technologies. Researchers bring methods, analysis and evaluation. All bring knowledge and experience. TXN assembles and integrates these contributions into configurations that no single partner could create alone. The contributions can be combined in different ways for different challenges.
How Testbed Xn works
TXN works in three steps. A partner describes a challenge as a use case. A working group carries it out as a project. The results are packaged in an adoption package, so that others can reuse them. This separation lets partners contribute where they add most value: property owners and domain experts describe problems and expected outcomes, while technical teams and researchers lead implementation and validation. The aim is to move quickly from idea to evidence.
Use cases
A use case is a real challenge that a partner brings to TXN. Three use cases have been approved. Status as of November 2026.
Cross-system optimisation through smart lighting integration. Project (active). Integration demonstrated.
Master data for regulatory compliance and reporting. Exploratory – scope being narrowed.
Critical property components for predictive maintenance. Project, early stage.
Ready to start your next project?
Apply to start a project
TXN is open to all types of digitalisation projects that contribute to a more sustainable built environment sector, though projects are selected based on relevance and compatibility.
Use the form to submit an expression of interest (KTH form):
Kickstart your innovation journey with TXN templates
The framework includes ready-made templates for use cases, project charters, project plans, work packages, activities and adoption packages. They support partners from idea to evidence.
Do you want to know more?
For questions please contact:
Rafael Gómez García
Dig-IT Lab, Testbed Xn
rafael.gomez.garcia@ri.se