About

To enhance efficient, low-impact exploration of Critical Raw Materials in RIS countries using an integrated stack of satellite-derived synthetic hyperspectral imagery, automated SGPR, and an AI platform that unifies geological, geophysical, and geochemical data for faster, better decisions.

Background

The EU imports ~98% of REEs and ~44% of other CRMs. Policy targets include increasing domestic supply and limiting single-country dependency. Data-driven exploration improves precision and cuts costs; RISPECT applies these advances to RIS regions.
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Objectives & Scope

The EU imports ~98% of REEs and ~44% of other CRMs. Policy targets include increasing domestic supply and limiting single-country dependency. Data-driven exploration improves precision and cuts costs; RISPECT applies these advances to RIS regions.

01.

Enhance two exploration technologies: synthetic hyperspectral imagery and SGPR.

02.

Build the RISPECT-AI platform to integrate data and deliver real-time insights, targeting −20% costs and −40% CO₂.

03.

Increase Social License to Operate via stakeholder engagement.

04.

Demonstrate in Albania for six months; assess transferability with the Ukrainian Geological Survey.

05.

Build a 100-member cluster through workshops, demos and dissemination.

06.

Establish a spin-off for long-term sustainability. 

Sustainability & Continuation

Spin-off between SEC, SAISLAB and EIT RM to commercialize the platform (freemium + services), targeting progressive revenues post-project; additional public funding via Horizon Europe and national programs.

Alignment & Impact

Aligned with the EU Green Deal, Circular Economy Action Plan, Responsible Sourcing Lighthouse, and EIT RM RIS strategy; contributes to SDGs 7, 8, 9, 11, 12, 13.

Core impact indicators include validation by two geological surveys, 25 early adopters, 100+ trained stakeholders, and reductions in cost and emissions.

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