If you are a mineral exploration firm dealing with high costs of blind drilling — this project developed AI Knowledge Packs that use satellite and drone data to map mineral prospectivity. This allows you to target high-potential areas for Cobalt, Lithium, and Rare Earth Elements more accurately.
AI-Powered Satellite Platform for Finding and Monitoring Critical Raw Materials in Europe
Imagine having a high-tech digital map that uses satellite images and AI to spot hidden minerals underground. It's like using a smart filter on a photo to find exactly where the gold or lithium is without digging random holes. The system also acts as a security camera for the environment, alerting operators if water quality drops or a dam becomes unstable.
What needed solving
European mining companies struggle with inefficient exploration techniques and a lack of accurate, real-time data for environmental monitoring and site safety. This leads to higher exploration risks and potential environmental liabilities.
What was built
An Earth Observation Platform featuring AI Knowledge Packs (AIKPs) that process satellite, drone, and sensor data into actionable mining maps and safety alerts.
Who needs this
Who can put this to work
If you are a mining site auditor dealing with complex environmental compliance — this project developed early warning systems for water quality and acid mine drainage. This enables real-time monitoring of biodiversity impacts and groundwater levels across 6 field trial sites.
If you are a mine site operator dealing with the risk of structural failures — this project developed mapping tools for tailing dam and open pit stability. This provides actionable information to prevent accidents and improve operational safety.
Quick answers
What is the cost or pricing model for the platform?
Based on available project data, specific pricing or cost structures are not mentioned; the project focuses on developing the platform and value proposition.
Can this be used at an industrial scale?
Yes, the project is designed for implementation across mining industry value chains and is being validated through 6 field trials in Finland, Sweden, Romania, Ukraine, and Portugal.
Who owns the IP and how is licensing handled?
Based on available project data, the platform uses proprietary Artificial Intelligence Knowledge Packs (AIKPs), but specific licensing terms are not disclosed.
How does this integrate with existing data?
The platform establishes continuous data acquisition pipelines from satellites, drone flights, and proximal sensors, combining them with geological data.
What is the timeline for deployment?
The project period runs from 2024-01-01 to 2026-12-31, indicating the development and trial phase concludes at the end of 2026.
Who built it
The consortium is heavily industry-driven with a 69% industry ratio, comprising 9 industrial partners including 4 SMEs. This strong commercial presence, balanced by 3 research centers and 1 university, suggests the project is focused on market adoption rather than pure theory. The inclusion of partners from 9 countries, including Ukraine, indicates a strategic focus on cross-border raw material supply chains.
Contact TEKNOLOGIAN TUTKIMUSKESKUS VTT OY in Finland
Talk to the team behind this work.
Contact us to connect with the GoldenRAM consortium for pilot site opportunities.