SciTransfer
e-genesis · Project

AI-Powered Earth Intelligence for Climate Resilience and Resource Management

environmentPrototypeTRL 3

Imagine having a super-smart digital twin of the planet that doesn't just show pictures, but tells you exactly what's going wrong and how to fix it. It combines satellite views with AI to spot patterns in water levels, forest health, and city heat. It's like a high-tech early warning system that helps leaders make better choices to protect nature and people.

By the numbers
21
partners
10
countries
33%
industry ratio
The business problem

What needed solving

Decision-makers lack actionable, real-time intelligence to manage climate anomalies and resource scarcity. Current Earth Observation data is often too complex or fragmented for direct use in strategic business or policy decisions.

The solution

What was built

A system of modular AI/GenAI pipelines and integrated services focusing on biodiversity, water sustainability, and the urban-energy-health nexus.

Audience

Who needs this

Environmental consultancy firmsUrban infrastructure developersWater utility companiesPublic health agenciesEnergy grid operators
Business applications

Who can put this to work

Water Management
enterprise
Target: Regional water utility provider

If you are a water utility dealing with unpredictable droughts or floods — this project developed water resource foresight tools that provide spatially detailed intelligence to secure water sustainability.

Urban Planning
mid-size
Target: Smart city infrastructure developer

If you are a city developer dealing with extreme heat waves and urban energy spikes — this project developed an urban-energy-health nexus tool that helps design more resilient city systems.

Environmental Consulting
SME
Target: Biodiversity monitoring firm

If you are a consultancy dealing with complex ecosystem degradation reports — this project developed AI-driven biodiversity resilience services that transform satellite data into actionable insights.

Frequently asked

Quick answers

What is the cost or pricing model for these services?

Based on available project data, no specific pricing or cost details are provided; the project focuses on operationalizing services for EU policy and strategic decision-making.

Can this be scaled to an industrial level?

Yes, the project is designed to be territorially scalable and uses federated cloud infrastructures and modular AI pipelines to ensure wide deployment.

How is the intellectual property or licensing handled?

Based on available project data, specific licensing terms are not listed, but the project includes exploitation strategies to ensure commercialisation and long-term sustainability.

When will the solutions be ready for use?

The project runs from 2026-11-01 to 2030-02-28, moving through co-design, prototyping, and finally operational deployment.

How does this integrate with existing data systems?

It leverages Copernicus Core Services, European Data Spaces, and ESFRIs to ensure compatibility with existing European digital infrastructures.

Consortium

Who built it

The consortium is well-balanced for commercial transition, featuring 21 partners across 10 countries. With a 33% industry ratio (7 industrial partners, including 7 SMEs), there is a strong bridge between the 13 research/university entities and the actual market, suggesting a high likelihood of practical application.

How to reach the team

Contact ETHNIKO ASTEROSKOPEIO ATHINON in Greece

Next steps

Talk to the team behind this work.

Contact us to track the prototyping phase of e-genesis for early adoption.

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