
To change the status quo, we must understand it first
Our data-driven analytical approach helps us to track the dynamics between complex interrelationships in a system. This method works well for analyzing societal processes, urban case studies and policies, environment, etc.
It is useful because it creates:
- Benchmark analysis and comparison of changes over time
- an in-depth understanding of critical points in the system, inter-linkages and potential risks
- an opportunity to structure the most direct solutions, with the widest impact
- a good basis for engaging and informing a wide range of stakeholders

System and trend analyses
Our systematic and analytical approach allows us to identify recurring patterns within the studied system, conduct benchmarking against best practices, and determine the key factors behind their formation. Through due diligence, we assess data reliability and the feasibility of implementing identified solutions. This helps businesses, national and local administrations, and NGOs understand the broader context, identify future patterns and trends, and develop actions that lead to meaningful and lasting change.

Spatial analyses
The geo-spatial methods we use allow us to analyse the specific characteristics of specific territories and regions in depth, focusing on the places where resources can be most efficiently and sustainably used in order to maximise their impact.

Urban analysis and circular processes
The urban environment is a complex system that requires an analysis of interconnected processes and the specific characteristics of the surroundings in urban conditions. Through benchmarking, we compare successful practices, while due diligence helps us assess their sustainability and applicability. Integrating ESG criteria allows us to incorporate social, environmental, and governance aspects into the modeling of circular processes, enhancing the city's economic, social, and environmental benefits.