SciTransfer
TWIN4CITIES · Project

AI-Powered Digital Twins for Climate-Neutral and Resilient City Management

digitalPrototypeTRL 2

Imagine having a living, digital map of a city that updates in real-time. It works like a flight simulator for urban planners, letting them test changes to the city before actually building them. This helps cities cut carbon and react faster to emergencies using smart AI and virtual reality.

By the numbers
26
partners
10
countries
9
SMEs
The business problem

What needed solving

Cities struggle to reach climate-neutral goals due to a lack of real-time data and the inability to test urban changes without risking expensive real-world failures.

The solution

What was built

A suite of AI-based digital tools centered around a city-wide Local Digital Twin featuring Generative AI and XR technologies.

Audience

Who needs this

Municipal government IT departmentsUrban planning firmsSmart city software developersEnvironmental consultancy agencies
Business applications

Who can put this to work

Urban Planning & Consulting
SME
Target: City planning consultancy

If you are a city planning consultancy dealing with inefficient resource allocation — this project developed a suite of AI-based tools that provide simulations and recommendations to optimize how city assets are used.

Cybersecurity
any
Target: Critical infrastructure security firm

If you are a security firm dealing with vulnerabilities in smart city networks — this project developed advanced cybersecurity measures integrated into a city-wide digital twin to protect urban data.

Public Utilities
enterprise
Target: Energy and water utility provider

If you are a utility provider dealing with unpredictable demand in climate-neutral zones — this project developed real-time monitoring and scenario generation to help manage resources more efficiently.

Frequently asked

Quick answers

What is the cost or pricing model for these tools?

Based on available project data, no pricing or cost information is provided as the project is in the signed phase.

Can this be scaled to any city size?

The project aims for city-wide Local Digital Twins, suggesting a design intended for full urban scale.

Who owns the IP and how is licensing handled?

Based on available project data, specific IP and licensing terms are not listed in the project summary.

How does this integrate with existing city data?

It uses data analytics and AI to create a core digital twin that provides real-time monitoring and response.

What is the timeline for deployment?

The project runs from 2026-05-01 to 2029-10-31.

Consortium

Who built it

The project features a diverse group of 26 partners across 10 countries. With 9 SMEs and 5 larger industry players (19% industry ratio), there is a strong mix of commercial agility and academic research from 4 universities and 4 research centers, suggesting a balanced approach between theoretical AI and practical urban application.

How to reach the team

Contact ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS in Greece

Next steps

Talk to the team behind this work.

Contact us to track the development of these AI urban tools.