// Solutions · For exploration teams

From data chaos
to discovery
precision.

Four production-ready solutions, each replacing a multi-month manual workflow with an always-on AI workflow system that never loses context, never forgets a survey, and never argues about whose spreadsheet is canonical.

// Capabilities

Four solutions.
One reasoning fabric.

Deploy them independently or as a connected pipeline. Each output feeds the next, and every action is logged for audit, regulator review, and post-mortem.

img · targeting-heatmap.jpg
SOL.01 / TARGETING

Exploration Targeting

Probabilistic, peer-reviewable mineralization maps with confidence intervals — so the team knows not just where to drill, but how sure to be.

  • Identify high-probability zones in pre-explored districts
  • Reduce false positives through cross-modal verification
  • Optimize drill spacing & rig sequence for ROI
img · data-fusion-stack.jpg
SOL.02 / FUSION

Data Fusion Intelligence

Unify decades of disconnected geological data into a queryable, machine-reasoned model of the subsurface — across districts, vintages, and formats.

  • Integrate fragmented public + private datasets
  • Auto-parse legacy PDF survey archives
  • One geological model, every team, single source of truth
SOL.03 / COST

Cost Reduction

Replace months of manual analysis with hours of AI workflow reasoning — and prioritize the targets where the next dollar of capex actually matters.

  • Cut analyst-hours by an average of 78%
  • Rank programs by expected return per dollar
  • Kill marginal targets before they reach drill stage
SOL.04 / ESG

ESG Optimization

Reduce unnecessary drilling and quantify environmental impact at the targeting stage — not in retrospect during the regulatory review.

  • Lower hectares-disturbed per ounce / tonne discovered
  • Surface brownfield extension opportunities first
  • Auto-generate environmental footprint reports
// Data fusion · last 24h

Reconciling 180+
sources, in real time.

Ingest never sleeps. Every new survey, satellite pass, or core log feeds back into the unified geological model.

// How a program runs

A typical program,
end-to-end in hours.

From licence-block upload to a ranked drill plan — the AI workflow loop runs continuously, with every step logged for your auditors.

STEP 01 · 0:00

Ingest

Upload licence boundary or AOI; AI workflows pull every relevant dataset within range.

STEP 02 · 1:30

Fuse

Cross-modal models reconcile satellite, geophysics, geochem, and historical drilling.

STEP 03 · 3:45

Reason

Hypothesis-refiner workflows propose, test, and discard scenarios until evidence converges.

STEP 04 · 6:10

Recommend

Ranked target list with confidence, risk, and ROI scoring — exportable to drill plan.

// Who uses LodeStarX

Built for teams
that ship discoveries.

Junior explorers

Generative-stage shops

Punch above your weight: a 5-person team plus LodeStarX evaluates more ground per quarter than a 50-person legacy major.

Mid-tier producers

Brownfield extension

Find what your geologists missed in their own archives. We've found measurable resources in data your team already owns.

Majors

Portfolio triage

Score every concession in your pipeline, every quarter — and reallocate capital toward the targets the math actually backs.

Bring your AOI. We'll bring the targets.

Start a Pilot Program