Lithium Universe (ASX:LU7) optimise Apollo exploration

Lithium Universe has laid out its exploration strategy for Apollo and will use a key AI-backed approach to optimise its time and costs in the field, potentially bringing exploration activities forward a year for a James Bay lithium project already on the fast track to production.

And a study conducted over Apollo combining advanced technology with the AI system has already yielded fruit in the form of 448 priority targets – now narrowed down to 28 specific areas highlighted for next-level exploration.

The predictive system was trained on the very same James Bay, where access is tough and time limited by the Canadian Winter, and Lithium Universe Chairman Iggy Tan said KorrAI had already proven successful to optimise field exploration.

“They have worked for companies such as Patriot Battery Metals nearby.  By employing advanced algorithms, KorrAI has created maps that identify geological features like outcrops, pegmatites, and vein formations, using spectral data to locate potential mineral deposits,” Mr Tan said.

“This AI-driven approach enhances exploration accuracy and efficiency, allowing us to focus our field activities and resources more effectively, reducing exploration timelines and costs.”

Plan of attack

With target areas circled, Lithium Universe will now get to regional prospecting and mapping to identify host rocks for LCT pegmatites before beginning infill soiling, pitting, and trenching campaigns to bolster geological knowledge and collect channel samples to support preliminary studies.

It all builds up to a scout diamond drilling campaign expected to run for up to 5000 metres and begin forming a maiden JORC resource, with Lithium Universes’ eye fixed on bringing the next lithium production to James Bay.

And with a lithium dream team in the LU7 roster, any time and money spared at Apollo can be used to begin cracking into the rest of a tier-1 portfolio of critical mineral assets.

LU7 project map

Normal satellite data compared to AI technology used to identify whaleback patterns in topography and target areas

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