For Commercial Explorers
Built for the geologist who has to defend the discovery.
Ranked exploration target portfolios calibrated against peer-reviewed deposit models. Outputs structured for NI 43-101 and JORC reporting. Authored by a founder with 30+ years of multidisciplinary field experience. If your board is asking why these targets and not those, this is the tool that gives you the answer in writing.
The Time Pressure
Your data room is years deep. Your window is months wide.
Most listed explorers sit on decades of satellite imagery, geochemistry, geophysics and drill data that cost tens of millions to acquire. Manual reinterpretation across modern AI methods takes a 3–5-person team six to twelve months per project. Your option deadlines, drill-permit windows, and equity-raise cycles do not wait that long.
CAGE-IN compresses early exploration from years to weeks — and the targets it surfaces are referenced to peer-reviewed deposit models a QP can defend in print.
Why CAGE-IN
Production methodology. Peer-reviewed foundations. Geologist judgement.
Three structural reasons your QP will sign the deliverable.
Peer-reviewed deposit models
Twelve deposit-model categories — porphyry, epithermal, IOCG, skarn, IRG, laterite Ni, Ni sulphide, SEDEX, orogenic Au, graphite, VMS, diamond kimberlite — calibrated against the published prospectivity literature. Every weighting tied to a citation a QP can follow.
Multi-method, cross-validated
Three independent scoring engines — knowledge-driven WLC, machine-learning RF with spatial-block CV, ensemble fusion — converge on a single ranked output, with a Conflict Map that exposes disagreement zones for geologist review. Cross-validated on Nevada, Titiribi, Rajasthan, and Uganda terrains.
AI-backed fluid software
Your model is not frozen at delivery. As the peer-reviewed literature evolves, the reasoning inside CAGE-IN updates with it. The targets you commission today stay defensible against the science of tomorrow.
Reporting-Aligned
Outputs your QP can sign.
Every deliverable is structured for downstream NI 43-101 and JORC reporting. Citations are bibliography-resolved. Confidence scoring is per-target. Methodology is traceable end-to-end.
Spatial
Composite score raster
0–1 NaN-aware weighted average over the AOI
Targets
Anomaly polygons (GeoPackage)
Area / perimeter / circularity / mean+max score / shape-compatibility rank attributes
Probability
Three probability surfaces
Method A, Method B, and Ensemble outputs side-by-side
Transparency
Method A/B Conflict Map
Disagreement zones surfaced for geologist review — the failure-mode honesty an auditor expects
Imagery
RGB composites + Crosta PCA
Spectral evidence layers ready for QGIS inspection and report inclusion
Narrative
Optional report draft
Geological narrative constrained to bibliography-resolved citations — first-pass authoring, not auto-publish
30+ Years in the Field
The geologist behind your discovery.
Dr. Amit Tripathi has spent three decades on mineral-exploration programs across five continents — uranium, REE, gold, PGE, diamond, nickel, COLTAN, iron, and base-metal terrains. He authored CAGE-IN to encode the way an experienced exploration geologist actually combines multi-disciplinary signals to rank targets, then made that reasoning available as software so smaller teams can reach the same calibre of deliverable.
30+
Years in mineral exploration
60+
Projects delivered
20+
Countries across 5 continents
22+
Peer-reviewed publications
Living Methodology
The model you commission today is the model you keep — kept current with the literature, not frozen at delivery.
See how CAGE-IN stays current →How We Work
Three engagement shapes. All Western-standard.
Mutual NDA at first call. Data-room access on standard confidentiality terms. Full IP confidentiality throughout. The shape you pick reflects how much of the workflow you want to own.
Project-Based
Per-AOI deliverable
Fixed-scope engagement on a defined Area of Interest. We deliver a ranked target portfolio with confidence scoring, QGIS-loaded outputs, and a methodology brief your QP can attach to the technical report. Best for: drill-program prioritisation, option-evaluation, M&A due-diligence reads on a target asset.
Embedded Advisor
Retainer technical advisor
Recurring monthly engagement with your exploration team. We run CAGE-IN against new datasets as they arrive, support QP review, brief your board on technical milestones, and stay close enough to call before drilling moves. Best for: explorers running active programs who want senior judgement on tap without a full-time hire.
White-Label
Embedded licence
For consultancies and in-house teams who want to operate CAGE-IN under their own brand. We licence the stack, train your team on the geological reasoning behind every model, and stay behind the scenes. Your client relationship stays yours; the deliverable lands sharper than your last one.
Brief Us
Tell us about the project. We'll tell you what CAGE-IN finds.
30 minutes on a call with Dr. Tripathi. We will walk your AOI, your existing data inventory, and where CAGE-IN could shorten your timeline — at no cost and under NDA from the first message.
Mutual NDA from first message · Confidentiality maintained throughout