EIT RawMaterials Summit Showcases AI‑Powered Earth Observation Platform for Europe’s Raw Material Security

At the 2026 EIT RawMaterials Summit in Brussels, a new Earth Observation platform called GoldenRAM took center stage. Designed by a consortium of European geoscientists, AI specialists, and space agencies, GoldenRAM aims to transform how Europe discovers and manages critical raw materials — from lithium for batteries to rare earths for permanent magnets.

The platform integrates three layers:

1. Satellite data – hyperspectral, radar, and thermal imagery from Sentinel and commercial sources.
2. Geological databases – historical mining records, geophysical surveys, and geochemical samples.
3. Advanced analytics – machine learning models that detect surface mineral signatures, predict subsurface extensions, and assess environmental constraints.

During a live demonstration, Péter Mogyorósi, project lead, showed how GoldenRAM could scan a 5,000 km² area in northern Sweden in under four hours. The system flagged three previously overlooked zones with spectral anomalies matching rare earth element patterns. Ground samples later confirmed two of them.

“Traditional exploration in Europe is slow and expensive because much of the low‑hanging fruit has been picked,” Mogyorósi explained. “GoldenRAM doesn’t just look for known deposit types. It learns from global analogues and adapts to European geology.”

The European Commission has set a goal of reducing import dependency for critical raw materials from over 90% to less than 70% by 2030. Achieving this requires both new discoveries and better use of existing mining waste. GoldenRAM includes a ‘secondary resources’ module that analyses tailings ponds and slag heaps, calculating recovery potential and economic viability.

Unlike commercial exploration software, GoldenRAM is designed as a public‑good infrastructure — accessible to national geological surveys, universities, and small exploration companies. The platform will enter beta testing in July 2026, with full operational capability expected by early 2027.