Drill Where the Data Points

AiLond turns public and company exploration data into a ranked prospectivity map — so explorers can compare their drill plan with what an independent AI model sees, before the rig arrives. Fixed fee. Delivered in weeks. Presented in interactive 3D that boards and investors understand.

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Why AiLond

A Different Kind of Prospectivity Model

Most AI tools in exploration are opaque — they produce a map with no explanation of why a target scores highly. AiLond is built differently. Every ranked cell comes with the data layers behind it: magnetics, geology, satellite imagery, terrain and drilling history. Your geologists can interrogate the reasoning, not just accept the output.

Transparent, Not a Black Box

Every target is accompanied by the underlying data layers — magnetics, geology, satellite, terrain and drilling — plus a score your geologists can independently verify and challenge.

Plan vs AI

We overlay your existing drill plan on the AI-generated targets and show precisely where they agree, where the AI identifies new ground, and where the company holds conviction the model does not.

Built on Your Data

We start with public datasets, then integrate your drilling records, assays and geophysics. The model retrains as new results come in, growing sharper with every drill programme.

Made to Be Shown

Interactive 3D terrain views, ranked maps and summary tables that perform equally well in a board meeting, on a financing roadshow or embedded on your investor website.

How It Works

Six Steps from Raw Data to Drill-Ready Targets

AiLond follows a structured, collaborative workflow — combining public geoscience with your company's proprietary knowledge, then refining the model alongside your technical team before delivering investor-ready outputs.

Step 1 — Compile Data

Data Foundation

Everything in One Place, Before the Model Sees It

The quality of any AI model is determined by the quality of its inputs. AiLond aggregates public geoscience data — airborne magnetics, Sentinel-2 multispectral satellite imagery, digital elevation models and government geological maps — alongside your own proprietary datasets: drill collars, downhole surveys, assay results and induced polarisation (IP) surveys.

This dual-source approach means the model operates with both regional context and site-specific ground truth from day one, rather than relying solely on remote sensing that has never been calibrated to actual mineralisation on your property.

Data Enhancement

Giving the Model Geological Intelligence

Raw data layers capture what is measured. Derived layers capture what is meant. In Step 2, AiLond's geoscience team processes the compiled datasets to extract additional signals that carry strong geological significance: lineament density, structural edge detection, distance-to-fault calculations and proximity to intrusive contacts.

These engineered features translate geological theory — that mineralisation concentrates along structural corridors and near heat sources — into variables the machine learning model can directly interpret. The result is a model that reasons geologically, not just statistically.

Step 2 — Enhance Layers

Steps 3 & 4 — Train, Score & Review

Model Training

Ranked Scores Your Team Can Interrogate

With enhanced layers in place, AiLond trains a supervised model using known mineralised intersections as positive examples. The model then scores every cell across the property from 0 to 100 — producing a continuous prospectivity surface rather than a binary target / no-target classification.

Critically, Step 4 is a structured review session with your geologists. They stress-test the outputs against their own geological knowledge and field experience. Where results feel wrong, we adjust input weightings and rerun. This iteration loop is what separates AiLond from automated black-box services — your team's expertise shapes the final model.

Deliverables

What You Get

AiLond delivers a complete analytical and communication package — from the raw ranked surface through to investor-ready interactive pages. Everything is structured so that new drill results can be incorporated without rebuilding from scratch.

Ranked Prospectivity Map

A continuous 0–100 score surface covering the entire property, with the ability to filter by score threshold and overlay geological features.

Target List with Rationale

Each prioritised target area is described with its size, peak and mean score, the dominant data signals driving the ranking, and a plain-English geological rationale your board can follow.

Plan vs AI Comparison

A three-way comparison table: areas where your plan and the AI agree, AI-only targets not yet in your programme, and company-only targets where geological conviction exceeds the model score.

Interactive 3D Viewer

An interactive web page showing drill holes and intercepts filterable by metal and grade, terrain draped with the prospectivity surface, and annotated target areas — ready for board meetings and roadshows.

Underlying Data Delivered

All processed data layers and model outputs are handed over in standard formats, so your team or a future contractor can add new results without returning to square one.

Who It's For

Built for Explorers at Decision Points

AiLond is designed for listed and pre-IPO mineral exploration companies working in copper, gold and critical minerals — particularly those approaching a drill programme or capital-raising event where independent technical credibility matters.

Before a Drill Programme

Validate your prioritisation or surface new targets before committing capital. Know where your plan and the AI agree — and where they diverge — before the rig mobilises.

Before a Financing

Give investors and boards an independent, data-driven view of your project's prospectivity. Interactive 3D outputs are designed to communicate technical confidence in non-technical settings.

Ongoing Exploration

As new drill results come in, we retrain and update the model. AiLond grows more precise with each campaign, compounding the value of your exploration investment over time.

The Process in Numbers

Fast, Fixed-Fee and Independent

AiLond is structured to fit within exploration budgets and timelines — not as a research project, but as a decision-support tool that delivers before your next programme begins.

0–100

Continuous Score

Every cell across your property ranked against known mineralisation — not binary, not qualitative.

6

Structured Steps

From data compilation to investor-ready interactive delivery — a defined, transparent workflow.

Weeks

Delivery Timeline

Fixed-fee engagements delivered in weeks, not quarters — designed around exploration programme schedules.

3

Global Offices

London · New York · Singapore — Lond Capital can present results on your roadshow in any major financial centre.

Before Your Next Drill Programme — See What the AI Sees

AiLond provides an independent, data-driven prospectivity ranking that sits alongside your team's geological judgement. Whether you're prioritising drill collars, briefing a board, or preparing for a financing, the output is designed to inform decisions and communicate confidence.

A Lond Capital service · London · New York · Singapore · +44 20 3137 1175

AI scores are relative rankings, not probabilities of economic mineralisation. Results are not reviewed by a Qualified Person unless stated. Not investment advice.