Table 1: Mineral Resource Statement*, Valeriano Project, Atacama Region, Chile. SRK Consulting (Canada) Inc., September 1, 2025

* Notes to accompany the Mineral Resource Estimate:

  1. The Independent and Qualified Person for the Mineral Resource Estimate, as defined by NI 43-101, is David Machuca-Mory , PhD, PEng, from SRK Consulting (Canada) Inc., and the effective date is September 1, 2025.
  2. Mineral Resources have been classified in accordance with the Canadian Institute of Mining, Metallurgy and Petroleum (“CIM”) Definition Standards on Mineral Resources and Mineral Reserves.
  3. Reasonable prospects of eventual economic extraction were considered by applying appropriate cut-off grades and reporting within potentially mineable envelopes.
  4. Metal prices considered were US$2,750 /oz Au, US$3.80 /lb Cu, US$27.00 /oz Ag, and US$22.00 /lb Mo.
  5. Cut-off grades considered for oxide and sulphide block model estimates were, respectively, 0.16 g/t Au and 0.35% Cu.
  6. Metallurgical recoveries used for open pit oxides based on Coarse Bottle Roll and CIL Leach test work are 76.0% for gold and 50.0% for silver.
  7. Metallurgical recoveries used for underground sulphides based on initial flotation tests was 94.0% for copper, 95.0% for gold, 80.0% for silver, and 64.0% for molybdenum.
  8. Au-Ox epithermal Mineral Resource estimates are reported within a conceptual pit optimized with a slope angle of 45° and assuming US$2.43/t for mining costs, US$5.45/t for processing costs, and US$1.31/oz for gold selling costs.
  9. Cu-Au porphyry related Mineral Resource Estimates are reported assuming bulk underground extraction techniques within an envelope around 40m x 40m x 40m mineable shapes above a cut-off of 0.30% Cu.
  10. Tonnage is expressed in millions of tonnes; metal content is expressed in thousands of ounces, for gold and silver, millions of tonnes, for copper, and thousands of tonnes for molybdenum.
  11. All figures rounded to reflect the relative accuracy of the estimates and totals may not add up due to rounding.
  12. Gold Equivalent (AuEq) is calculated assuming US$27/oz Ag and US$2,750/oz Au and metallurgical recoveries of 76% for Au and 50% for Ag using the formula AuEq g/t = Au g/t + 0.005856 * Ag g/t).
  13. Copper Equivalent (CuEq) is calculated assuming US$3.80/lb Cu, US$2,750/oz Au, US$27/oz Ag, and US$22/lb Mo and metallurgical recoveries of 94% for Cu, 95% for Au, 80% for Ag, and 64% for Mo using the formula CuEq % = Cu % + (10499.12432 * Au g/t /10000) + (82.424482 * Ag g/t /10000) + (3.5790963 * Mo g/t /10000).

The mineral resources of the Valeriano Project are sensitive to the selection of the reporting cut-off grade. To illustrate this sensitivity, the block model quantities and grade estimates within the underground RPEEE envelope used to constrain the mineral resources are presented at different cut-off grades in the tables below.

Table 2: Sensitivity to Cutoff Grade of Indicated Mineral Resources in Copper-Gold Sulphides

*The reader is cautioned that the figures in this table should not be misconstrued for a Mineral Resource Statement. The figures are only presented to show the sensitivity of the block model estimates to the selection of a cut-off grade.

** Copper Equivalent (CuEq) is calculated assuming US$3.80/lb Cu, US$2,750/oz Au, US$27/oz Ag, and US$22/lb Mo and metallurgical recoveries of 94% for Cu, 95% for Au, 80% for Ag, and 64% for Mo using the formula CuEq % = Cu % + (10499.12432 * Au g/t /10000) + (82.424482 * Ag g/t /10000) + (3.5790963* Mo g/t /10000).     

Table 3: Sensitivity to Cutoff Grade of Inferred Mineral Resources in Copper-Gold Sulphides

*The reader is cautioned that the figures in this table should not be misconstrued for a Mineral Resource Statement. The figures are only presented to show the sensitivity of the block model estimates to the selection of a cut-off grade.

** Copper Equivalent (CuEq) is calculated assuming US$3.80/lb Cu, US$2,750/oz Au, US$27/oz Ag, and US$22/lb Mo and metallurgical recoveries of 94% for Cu, 95% for Au, 80% for Ag, and 64% for Mo using the formula CuEq % = Cu % + (10499.12432 * Au g/t /10000) + (82.424482 * Ag g/t /10000) + (3.5790963* Mo g/t /10000).