Decision platform for mineral exploration

From satellite pixel to drill decision.

OreLens ingests a company's own geochemical, geophysical, and drill-hole data — or automatically pulls real satellite and geological data when there isn't any yet — and carries an exploration decision from a bare area of interest to a budgeted, geologist-reviewed drill program.

Request access See how it works ↓
 AOI scan — live structural interpretation
OreLens isn't a target-ranking tool — it's the system that takes a company from an AOI with no data at all to a budgeted, geologist-reviewed drill program, with a transparent record of what's real at every step.
— how we define OreLens today
The pipeline

Six stages, one continuous decision

Every run moves through the same sequence — from raw evidence to a human sign-off — so the ranking, the narrative, and the budget can never quietly disagree with each other.

01
Data

Start with what you have — or with nothing at all

Upload geochemical CSVs, drill-hole assays, IP/resistivity, geology maps, lineaments, magnetics, gravity, radiometrics, satellite imagery. No upload is required to begin: OreLens auto-fetches real Sentinel-2 imagery and computes real alteration indices for any area of interest, pulls drainage data, and attaches bundled real geology and structural layers for supported regions.

Sentinel-2 auto-fetchBundled regional geologyNo data required to start
02
Structural interpretation

Computer vision on the actual imagery

Six detector classes — faults, lineaments, fractures, alteration halos, geological contacts, gossans — run directly on uploaded or fetched rasters, clipped to the drawn area of interest. The raster calculator's real output is shown as a colored heatmap with its formula, bands, and thresholds disclosed, not abstracted away.

6 detector classesReal raster math, shown
03
Scoring

Commodity- and region-aware prospectivity

An eight-feature engine — structural proximity, lithology, geochemical anomaly, clay and iron-oxide indices, drainage proximity, intersection density, alteration score — scores and ranks targets per commodity and per region, routing automatically to a customer's own dedicated model once they have enough real data to justify one.

Copper · Gold · Lithium · Rare earth
04
Data interpretation

The "why," not just the number

A narrative layer explains each target — deposit-model framing, structural setting, host lithology, pathfinder geochemistry, historical analogs, and what additional data would sharpen the ranking most — reusing the same underlying numbers as the score, so the story and the number never disagree.

05
Economic viability & capital allocation

Turns a rank into a budget

Drilling cost is calibrated per commodity from real public per-metre rates and typical hole depth and method — not a flat guess. Given a real budget and a risk-appetite setting, the allocator funds immediate-drill targets first, holds back the uncertain ones, and never allocates to do-not-drill targets, with a transparent priority order rather than a black-box optimizer.

06
Human review

One deliberate checkpoint, on purpose

Everything above runs unattended. The only required stop is a geologist approving, rejecting, or flagging targets at the end — so nothing upstream waits on a person, but capital commitment always does.

Live scoring, visualized

Where the model is pointing

One run's ranked targets, plotted together — rank, model score, and confidence, over the actual area of interest. Drag to rotate; hover a marker for its numbers.

 3D VIEWPORT — RANKED DRILL TARGETS LIVE
High confidence
Medium confidence
Low confidence
Height = model score (0–100)
Hover a target marker…
Rank order sets position on the AOI grid, not a real coordinate reference Illustrative run — see your own results in the app for a live scan
Global exploration activity

Where the latest discoveries are happening

A curated snapshot of major mineral discoveries publicly announced over the past six months — gold, copper, lithium, rare earths, and uranium, across six countries. This is public industry news, not an OreLens analysis; hover or tab to a marker for the story and its source.

 DISCOVERY FEED — LAST 6 MONTHS CURATED
Gold
Copper
Rare earths
Lithium
Uranium
Hover or tab to a marker…

Curated manually as of August 2026 — not an exhaustive database, and not automatically refreshed. Locations are region-level, not exact drill coordinates.

Host lithologyREAL DATA
Structural proximityREAL DATA
Alteration indexREAL DATA
Geochemical anomalySYNTHETIC BASELINE
Drainage proximitySYNTHETIC BASELINE
Why it holds up

Every score discloses what's real

Every feature behind every rank carries a record of whether it came from a real measured layer this run, or a heuristic baseline standing in for one that wasn't uploaded. Reports name which evidence is real, which is synthetic, and — for anything still synthetic — exactly which upload would move the needle most.

A mineral exploration company can hand an OreLens report to an investor or a board and the report itself says which parts to trust, and how much. That's not a caveat bolted on afterward — it's the same disclosure shown inside the app while a target is still being ranked.

Coverage

Multi-commodity, multi-region

The same engine, tuned per commodity and per region, so a copper program in Nevada and a gold program in the Murchison aren't scored by the same generic model.

Commodity
Copper
Commodity
Gold
Commodity
Lithium
Commodity
Rare earth
OreLens Australia — Murchison Goldfield bundled geology & structure
OreLens America — Nevada & Texas bundled geophysics
Delivered

A report built for due diligence, not a demo

Exported outputs carry the full interpretation, capital allocation, review status, and honesty disclosures — not a spreadsheet of scores.

PDF

Full written report — evidence cards, mineral-systems context, satellite imagery, pathfinder diagnostics, and capital allocation, ready to circulate to a board or an investor.

HTML

Interactive self-contained report — the same interpretation and review workflow shown in the app, packaged as one file that opens and works offline.

CSV

Structured export of ranked targets and their drivers, for a team that wants to run its own further analysis.

Full-service, by engagement

OreLens works directly with exploration teams

There's no self-serve signup — each engagement is scoped to your commodity, region, and the data you already have, and run alongside your own geologists rather than handed to you as a black box.

→ support@orelenstechnology.com
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