MetalCore’s AI Already Knows The Same Copper Belt NRED Is Exploring
Started digging through MetalCore’s Data Browser and found something pretty interesting.
The platform’s geological “Formations” database specifically tags the Interior Plateau Porphyry Belt in British Columbia as:
- Type: porphyry belt
- Favorability: HIGH
- Commodities: copper / gold / molybdenum
- Radius: 250km
That’s the same regional geological belt connected to Wilmac and Copper Mountain.
In other words, the exact formation NovaRed (NRED) keeps referencing in presentations is already classified by the AI system itself as a highly favorable copper belt.
And the platform isn’t pulling this out of thin air.
The scoring system combines:
- USGS deposit records
- Raw geochemistry datasets
- BLM mining claims
- Regional geological formations
You can literally open the browser and see historical copper ppm anomalies, nearby deposits, active mining claims, and geological trend overlays yourself.
One sample shown in the geochemistry layer had:
- Cu 620.7 ppm
- Zn 314.3 ppm
Another showed:
- Cu 527.4 ppm
- Au 7.94 ppm
Those are the exact kinds of anomalies exploration geologists flag manually. MetalCore is basically automating the pattern recognition process across huge public datasets.
The interesting thing here isn’t “AI hype.”
It’s that the platform openly shows the raw geological logic underneath the scoring system instead of forcing users to blindly trust a number.