Neuroarchitecture and neurodesign – Evidence‑driven Design for Health

Our work within neuroarchitecture and neurodesign is grounded in the belief that environments are not passive backdrops, but actively influence how people think, feel, perform, and connect. By translating these scientific insights into concrete strategies, we help organisations create environments that enhance health and performance.

By combining advanced neurotechnology with human-centred research and computational modelling, we generate evidence that reveals how design impacts the brain and body in real time. This integrated approach allows us to translate complex scientific insights into practical strategies for healthier, more resilient, and more effective environments.

Whether supporting early-stage concept development, guiding architectural decisions, or evaluating real-world impact, we help organisations design spaces that are not only functional but truly supportive of human wellbeing.

Our expertise

Evidence-Based Neurodesign & Environmental Analysis
Through biometrics, EEG, fMRI, and other physiological measurements, we evaluate how environments influence health, orientation, recovery, and performance. These insights form a robust scientific foundation for design decisions.
Technology Driven Testing & Simulation
Using AI, VR/XR, and computational modelling, we simulate user experiences before construction. This helps identify stressors, test design hypotheses, and optimise spatial solutions with evidence rather than assumptions.
Neuroscience Informed Architecture & Design
We translate scientific understanding of perception, stress, cognition, and behaviour into actionable design strategies. This ensures environments support clarity, comfort, and high performance.
Sustainable & Human Centred Environments
We explore how ecological and social sustainability shape behaviour, safety, belonging, and long-term wellbeing. Our work includes bio-inspired and biophilic design approaches that strengthen the human–nature connection.
Strategic Interdisciplinary Leadership
We lead innovation across neuroscience, architecture, technology, and societal impact. This includes developing frameworks, tools, and strategies for health-promoting design and supporting organisations in future-oriented development.

Our scientific approach 

Our approach combines neuroscience, environmental psychology, spatial science, and human experience research to understand how space and the body interact to shape health, performance, and wellbeing. Each project begins with a structured assessment of both the physical environment and the embodied experience within it. 

Data collection and environmental assessment 

We build a comprehensive baseline using multiple complementary tools and methods.

Tools

Neurotechnology 
Mobile brainimaging tools (such as EEG, fNIRS, and fMRI) in specific laboratory studies, to capture how the brain responds to spatial conditions in real time. 
Biomarkers 
Physiological indicators, including heart rate variability (HRV), respiratory rate, and electrodermal activity (EDA/GSR) to measure stress, arousal, and emotional load. 
Mobile eye-trackers 
Wearable eye-tracking glasses that capture real-time visual attention, gaze patterns and wayfinding behaviour in natural settings. This reveals how users perceive, navigate , and interpret spatial environments, pinpointing moments of cognitive load, confusion , or intuitive load. 
Human-centred qualitative and quantitative measures  
Subjective data, surveys, and semistructured interviews to capture lived experience, perceived challenges, and user needs.

Methods

The NeuroDesign & NeuroArchitecture Index (NDIX)   
A new evidence-based assessment method that identifies and measures how the built environment affects health, performance, and wellbeing. The index is structured across six scientifically grounded domains: safety and accessibility, cognitive, sensory, emotional, social, and naturalness.
 
Visual Stress Analysis (VisTa) 
A computational assessment method that evaluates how visual characteristics of the built environment may contribute to cognitive load and visual stress. ViStA identifies and quantifies features such as spatial frequency, contrast, and chromaticity using image-based analysis. These metrics act as proxies for potential perceptual strain, grounded in visual neuroscience, and can be linked to human responses when combined with experimental data.
Computational analysis 
The use of statistical modelling and machine learning to extract, quantify, and analyse visual and spatial features of architectural environments. These approaches enable systematic comparison of design conditions and, when integrated with behavioural or physiological data, support modelling of their potential effects on attention, perception, and stress. Spatial simulations and digital twins help predict the impact of design modifications such as lighting strategies, acoustic treatments, spatial reconfiguration, wayfinding, materials, colours, and nature integration.

How this creates value 

By combining objective data, human experience, and predictive modelling, we generate insights that guide evidence‑based design decisions and strengthen health, performance, and long‑term sustainability throughout the entire process – from ideas and concepts to completed buildings or environments. Drawing on neuroscience, we analyse your challenges and propose concrete, effective improvements.

Want to know more? Contact us for an initial consultation.