Sensore AI Lithium Targets

SensOre Chief Executive Officer Richard Taylor said: “The lithium pegmatite potential of these targets is significant based on the work undertaken to date. The ability to rapidly review state-wide data and identify favourable geology and geochemistry has allowed us to be a first-mover in new areas. While some companies are focused on quantity and area of tenements, we are looking at being more selective for quality in building our battery and critical mineral portfolio.”

The new lithium Discriminant Predictive Targeting® (DPT) ‘run’ includes the newly ingested GSWA surface and drilling industry geochemical data collected and supplied to the GSWA over the last 60 years. The dataset includes 7.8 million surface samples, with 76.4 million individual assays together with 41.5 million drilling samples covering 170.4 million individual assays. The exploration and mining industry has spent billions of dollars collecting this data, the replacement value of which is estimated to exceed $10 billion.¹

SensOre is actively applying sophisticated machine learning algorithms to incorporate this assay data into its multi- commodity mineral exploration models and products (including lithium, nickel, gold and copper) used by SensOre and its clients to improve targeting outcomes and increase the potential for mineral discovery. SensOre’s Technology team has constructed 147 high resolution geochemical maps for 40 elements, including lithium. The lithium and pathfinder element maps have informed the acquisition of these new targets.

In addition to wholly owned targets, Bowgarder Well is the first of eight targets selected by Deutsche Rohstoff as a partner. SensOre’s targeting work is worth $125,000 per target for a total of $1 million. SensOre retains a 30% equity interest in these projects. A preliminary budget of $4 million has been agreed to fund exploration activity ($2.8 million contributed by Deutsche Rohstoff and $1.2 million by SensOre).