4Point AI
Client Engagement Workflow

How We Work With Clients

6 months. 3 prediction cycles.
One continuously improving model.

4Point AI turns a mining company's existing exploration data into an iterative 6-month predictive targeting system. The first cycle builds the foundation. The second and third cycles incorporate new field evidence, reduce uncertainty, and refine where the client should spend its next drilling dollar.

3 cycles Per 6-Month Program
6 + 2 + 2 Weeks of Active AI + 3D Modeling
~2 mo Field Review Between Cycles
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4Point AI
The 6-Month Timeline

6-Month Engagement Cadence

A repeatable cadence of predict · validate · refine.

Each prediction cycle delivers an updated 3D predictive model, ranked target list, and technical report. Between cycles, the client advances targets in the field. Every field result becomes input for the next update.

Cycle 01 6 weeks modeling Cycle 02 2 weeks modeling Cycle 03 2 weeks modeling Field Review ~2 months · M1.5 – M3.5 Field Review ~1.5 months · M4 – M5.5 M0 M1.5 M3.5 M4 M5.5 M6 First Prediction Six-week foundation build. Initial 3D model, ranked targets, and technical report delivered. Second Prediction Two-week refresh that folds in new field and drilling data. Model retrained, rankings revised. Third Prediction · Program Close Two-week close. Mature model, final report, and next-program drilling recommendations. Prediction cycle · 4Point AI active modeling Client field work · drilling, sampling, geophysics
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4Point AI
Inside a Prediction Cycle

The First Prediction, Step by Step

Six steps from raw project data to ranked targets.

The first cycle (~six weeks) establishes the data foundation and modeling framework. Subsequent cycles reuse this foundation and complete in roughly two weeks each.

Step 01

NDA & Kickoff

Confidentiality, project scope, commodity, boundaries, and deliverables confirmed.

Step 02

Data Review

Drilling, assays, geophysics, GIS, interpretations, and gaps catalogued.

Step 03

Data Transformation

Cleaning, alignment, and spatially informed feature construction.

Step 04

AI Model Training

Hybrid data-driven and geology-aware models; 2D and 3D predictive outputs.

Step 05

Interpretation & Ranking

Targets scored by geological rationale, data support, and confidence.

Step 06

3D Model & Report

Delivery package: 3D model, ranked targets, technical report, exportable layers.

Cycle 01 · 6 weeks

Full six-step foundation build. Most intensive phase of the engagement.

Cycles 02 & 03 · 2 weeks

Steps 02–06 are repeated lightly: new data is folded in, models retrained, rankings revised.

Graceful Degradation

Models reason around sparse, uneven, or biased data rather than overfitting dense areas.

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4Point AI
Deliverables & Value

What The Client Receives

Decision-ready outputs. Compounding value.

Per Prediction Cycle

Core Deliverables

  • Updated 3D predictive model
  • Ranked exploration targets with confidence commentary
  • Probability surfaces and quantitative prediction outputs
  • Geological interpretation of model results
  • Technical report and investor-ready summary
  • Exportable layers for Leapfrog, Surpac, Vulcan, GIS, CAD
  • Recommended field follow-up and drilling direction
Where 4Point Creates Value

Five Value Pillars

  • Turning messy data into usable intelligence across drill logs, assays, maps, geophysics, and historical files.
  • Reducing spatial and sampling bias from areas with dense drilling history.
  • Capturing geological structure and continuity across proximity, orientation, alteration, and structural controls.
  • Producing decision-ready targets, not just models: ranked, rationalized, uncertainty-quantified.
  • Improving over time as new drilling and field evidence arrive each cycle.

The engagement is a six-month exploration intelligence program rather than a one-off report. Clients move from static interpretation to continuously improving guidance, and they always know where to spend their next drilling dollar.