Illustrative — topographic contours
Mineral Exploration Intelligence & Capital Allocation

Turn Exploration data into Capital decisions.

Every AI tool in this space claims it can find your next deposit. OreLens interprets the real geochemical, geophysical, structural, and satellite evidence in your AOI — a company's own data, or ours where there isn't any yet — and explains what it means geologically, target by target, not as a bare score and tier badge. From there it prioritizes ground and allocates a real budget by risk appetite, with one geologist sign-off before capital moves.

Request access See how it works ↓
 AOI scan — live structural interpretation
Pricing

Two ways to work with OreLens

Full-service engagements, scoped to your ground — one AOI, a multi-tenement district, or a full region — not self-serve software.

Professional
A full technical assessment of one AOI, district, or region at a time
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    Multi-source evidence ingestion — geology, geochemistry, geophysics, and drillhole data

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    Automated remote sensing — Sentinel-2 multispectral analysis with computer-vision structural & alteration mapping

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    Machine-learning mineral prospectivity mapping (MPM)

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    Evidence-based prioritization of zones within your ground, with mineral-systems narrative

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    Scoping-level drilling cost estimates and capital allocation guidance

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    Geologist review before delivery

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    Up to 5,000 km² per engagement — a single tenement, a multi-tenement district, or a full region

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Enterprise
An embedded exploration intelligence and capital allocation partner across your program
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    Everything in Professional

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    Continuous ingestion of assay and drillhole results during an active drilling campaign

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    Daily re-scoring and re-prioritization of zones as new data arrives

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    Capital allocation guidance that updates as the program unfolds

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Every engagement is scoped to your data, commodity, and ground — reach out and we'll walk through fit before anything else.

OreLens isn't a drill-target-ranking tool — it's mineral exploration intelligence and capital allocation software. It prioritizes real ground, at whatever scale you're working — one AOI, a district, or a region — and carries that evidence into a budgeted, geologist-reviewed exploration 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 prioritization, 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 prioritizes ground 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

A narrative, not a tier badge

Every target gets a short, target-specific narrative: what the real evidence shows — deposit-model framing, structural setting, geochemical anomaly against the district's own measured average, historical analogs — what's still missing, and the one failure mode that actually threatens this specific target, never a generic caveat copied across every result. Two targets can land on the identical stage label and still read completely differently, because their real risks aren't the same. It reuses the same underlying numbers as the score, so the story and the number never disagree.

Evidence-anchored, not scoredNo invented probabilities
05
Economic viability & capital allocation

Turns priority 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 the most evidence-ready ground first, holds back what still needs more work, and never allocates to ground the evidence argues against — 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.

Before EVS 90 · Immediate Drill
After

"...sits 1.32 km from the nearest mapped structure and shows a Cu-Mo-Au anomaly at 0.95 against a real district average of 0.43 — among the strongest signals in this AOI. Its proximity pattern is consistent with an in-situ mineral-system source, not transported material. What's missing: no IP/resistivity data, so subsurface geometry is unconfirmed. Key failure mode: without IP, a structurally-plausible surface anomaly can still fail to extend to depth — that's the uncertainty the survey is actually being bought to resolve."

Target T-01 · Yerington copper AOI — illustrative excerpt, adapted from a real OreLens report
Evidence, not a tier word

A stage badge doesn't explain itself. The narrative underneath it does.

Two targets can land on the exact same stage label and still carry very different real risk. A bare score and tier word can't show that difference — so every target gets a short narrative instead: what the evidence shows, what's still missing, and the one failure mode that actually threatens that specific target, never a generic caveat copied across every result.

Every sentence maps to a real, disclosed field — structural proximity, the geochemical anomaly against the district's own measured average, historical analogs, what evidence gates the next stage. No invented percentages, no "probability of success" pulled from nowhere.

Where OreLens fits

Three approaches already exist. None of them do all three things.

Each one gets a real piece right. None of them combines an automated structural read, disclosed evidence, and a priced budget in one tool a junior can actually license.

Manual GIS workflows

ArcGIS and QGIS, by hand

Still the real status quo for most juniors — a geologist's own judgment, built layer by layer, informed by real expertise.

Where it stopsSlow, expert-dependent, and never systematically discloses which conclusions rest on real data versus experience alone. The output is a map, not a funding decision.
Visualization & investor-communication platforms

Built to show a target, not price one

Strong at turning geological data into the 3D visuals and stakeholder decks a board or investor actually looks at, and some now layer AI-based prospectivity mapping on top.

Where it stopsThe visualization is the product. There's no disclosed real-vs-heuristic evidence trail behind the score, and no step that turns it into a drilling budget.
Well-funded AI exploration operators

The best-capitalized players don't sell the tool

The most heavily funded AI-driven exploration operations run their own technology to take land positions and joint-venture with majors directly.

Where it stopsNot available as software — they compete for ground, not for customers. A junior can't license the thing built to find someone else's next deposit.

OreLens is built to be the one you can buy. It automates the structural read a geologist would otherwise do by hand, discloses exactly which evidence behind every score is real versus a heuristic standing in for it, and carries the result into a priced, risk-weighted budget. A stakeholder deck, a black-box score, and an operator competing for the same ground are three different things — OreLens is software your own team runs, on your own ground.

Live scoring, visualized

Where the model is pointing

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

 3D VIEWPORT — PRIORITIZED GROUND LIVE
High confidence
Medium confidence
Low confidence
Height = model score (0–100)
Hover a target marker…
Position on the grid is illustrative layout, 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.

Data guardrails

Your data stays yours

Every file you upload — geochemistry, radiometrics, drill logs, imagery — is stored in an isolated space that belongs only to your project. It's never pooled with any other customer's data, and it's never used to train the model that scores other companies' targets.

If your own project builds up enough data over time, we can train a model using only your data, for your projects alone. We don't sell data, and we don't use it for advertising — OreLens has no advertising product. Full details in our Privacy Policy ↗.

✓

Isolated by default. Your uploads and outcomes live in a project-specific store, never merged with another customer's.

✓

Never trains the shared model without consent. Off by default — and that setting has never once been turned on for any customer.

✓

Can build a model just for you. Enough of your own data can power a dedicated model trained only on it, used only on your projects.

✓

Never sold, never advertised against. No data brokerage, no ad product — full stop.

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
OreLens Canada — Ontario & BC bundled geology & structure
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 prioritized ground and its 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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