The AI Geologist

Know where
gold is before you drill.

Atlas uses machine learning to predict the precise land squares most likely to contain gold — with a probability, an explanation, and a certainty score no human geologist can match.

See Pilot Results→ How it works ↓
AI PROBABILITY MAP — 300×300m GRID 500 m
Model Output
$12.5BIndustry exploration spend — 0.5% success rate 15/15Perfect pilot score — zero false positives ~75%AI-driven drill success vs 0.5% industry avg <48hFull probability map from data intake 68%Reduction in unproductive drill sites $218MAverage cost to discover one deposit $12.5BIndustry exploration spend — 0.5% success rate 15/15Perfect pilot score — zero false positives ~75%AI-driven drill success vs 0.5% industry avg <48hFull probability map from data intake 68%Reduction in unproductive drill sites $218MAverage cost to discover one deposit
15/15
Perfect pilot score
zero false positives
~75%
AI-driven drill
success rate
<48h
Full probability map
from data intake
68%
Reduction in dry
drill sites (pilot)
The Problem

Billions spent.
Almost nothing found.

The mining industry spent $12.5 billion on exploration in 2024. The average cost to discover a single new deposit has tripled to $218M. Companies spend a decade securing permits and millions on baselines — only to drill and find nothing.

Modern exploration generates terabytes of data per site — satellite imagery, geochemical assays, magnetic surveys, drill logs. But that data sits in silos while decisions are made by intuition. AI-driven targeting has pushed drill success rates from 0.5% to approximately 75% in early deployments.

7–10 yrs
US permit
timeline
2–3 yrs
Canadian permit
timeline
1–2 yrs
Australian permit
timeline
TB+
Data per site
sitting unused
How It Works

A neural network
trained to find gold.

Our model ingests every available signal — geophysics, geochemistry, remote sensing, structural geology, drill logs — and fuses them into a unified geological intelligence layer. It trains from as few as 3,000 labeled examples and works even when 20% of data layers are missing.

01 — PROBABILITY
How likely is gold here?
A 0–100% probability score for each grid cell. Ranked and mapped before a single drill turns.
02 — EXPLANATION
Why does the model say so?
Top geological drivers per prediction — anomaly signatures, structural controls, geochemical patterns. Fully auditable.
03 — CERTAINTY
How confident is the model?
Calibrated uncertainty range. High-confidence targets flagged for immediate drilling; lower zones for more data.
What You Obtain

Six outputs per analysis.

01
Location
Outlined polygon, 1–9 km² area — precise target zones mapped on your land package.
02
Probability
Estimated likelihood of metal presence. Scores up to 0.98 in pilot testing.
03
Certainty
Model confidence in its prediction — calibrated uncertainty bands for each target.
04
Quantity
Forecasted resource estimate to help prioritise capital allocation across targets.
05
Depth
Estimated depth of mineralisation — plan your drilling program with precision.
06
Resources
Classification as deposit, occurrence, or mineralisation point for regulatory planning.
Pilot Study

The model found
what years of
geology missed.

"Atlas identified high-probability targets our team had overlooked for three years. Two of the first three drill holes intersected high-grade mineralisation."
Chief Geologist — Pilot Partner

Conducted with one of the world's largest gold miners — a 30,000+ employee company with decades of history on a mature, multi-kilometre prospect. We ran the model cold. In under 48 hours we returned a complete probability map. Their drill programme confirmed every target.

15/15
Perfect pilot score
Every top-tier target confirmed
68%
Fewer dry sites
vs. prior programme same territory
<48h
Map delivery
Raw data to full probability map
0.98
Peak probability
Highest-confidence target score
The Team

Caltech & Polytechnique
trained. Production proven.

Core ML team trained at Caltech and Ecole Polytechnique — with expertise across machine learning, computational geoscience, and applied mathematics. Our AI systems have been deployed to industrial scale for major clients across healthcare, infrastructure, and resource extraction.

ML Engineering Geospatial AI Deep Neural Networks Mineral Systems Production MLOps Sensor Fusion
Interpretable models
Every prediction ships with confidence bounds, data provenance, and plain-language rationale. Auditable by your geologists.
Reproducible science
Grounded in peer-reviewed ML research. Every model run is deterministic, documented, and independently verifiable.
Production-grade systems
Not a research prototype. Hardened pipelines, automated ingestion, and enterprise-ready delivery from day one.
Get Started

Probability map in one week.

Step 01
24h
Scoping Phase
Technical assessment. Evaluate your data, define targets, confirm feasibility. No commitment required.
Step 02
72h
Data Intake
Satellite, geochemical, geophysical data processed through our ingestion pipeline. Any format accepted.
Step 03
<48h
First Map Delivery
Full probability map with target polygons ranked by likelihood, confidence, and estimated depth.
Your gold is already in your data

We just need to
show you where.

Stop spending $218M per discovery. Get a probability map of your entire land package in under a week.

Start Free Assessment→ hello@atlasmining.org