Autonomous multi-physics subsurface intelligence

From surface signals to drill-ready targets. GeoservAi fuses multiple physical signals into one decision-ready model, so exploration teams can drill with confidence.

Target rings over subsurface contour lines
2,898drill holes
760,000+metres of drilling informing the models
94.2%model accuracy, validated against physical core
1.2 mtypical vertical model resolution

Exploration capital deserves better intelligence.

Global exploration budgets are rising, yet discovery rates continue to decline. The challenge isn’t ambition—it’s access to the right intelligence at the right time.

GeoservAi delivers autonomous multi-physics subsurface intelligence that transforms uncertainty into advantage—so you can make bolder calls with greater confidence.

Reduce uncertainty

Multi-physics fusion illuminates the subsurface with unprecedented clarity.

Prioritise better

Rank targets with confidence and focus capital where it counts.

Accelerate discovery

Continuous learning models adapt as new data emerges—fast.

De-risk decisions

Transparent, explainable insights you can trust with stakeholders.

3D subsurface block showing a copper-gold target zone
Geological modelMulti-physics anomaliesTarget zone (Cu-Au)

The cost of uncertainty compounds quickly.

Disconnected data. Manual decisions. Expensive consequences.

Drilling cost

$5M–$15M

per exploratory well

Every unnecessary or misplaced well multiplies cost exposure.

Sparse data

70%+

of the subsurface is inferred, not observed

Gaps in data lead to gaps in confidence.

Cover sequences

50–80%

of drilling targets lie beneath complex cover

Cover uncertainty is the #1 reason targets are missed.

Long timelines

12–24+

months from planning to decision

Slow cycles erode opportunity and increase holding costs.

Target revision

30–60%

of targets materially revised or dropped

Late-stage surprises waste millions.

Environmental disturbance

2–5x

increase in disturbance with iterative programmes

More rework means greater footprint and higher risk.

GeoservAi makes the subsurface more intelligible.

From broad assumptions to targeted certainty.

Before
Broad drill spacing with a loosely interpreted target zone
Broad spacing, high uncertaintyInterpreted geology and a lower-confidence target zone from a broad drill pattern.
With GeoservAi
Targeted drill spacing with a high-confidence target zone
Targeted spacing, higher confidenceA model-driven target zone and a targeted drill pattern.

See deeper.

Reduce risk.

Model smarter.

Improve confidence.

Decide sooner.

Save capital.

Act with clarity.

Create value.

Multiple physical signals. One decision-ready model.

From raw data to confident direction—faster, clearer, smarter.

Drill rig and core block

Acquire

Capture multiple physical signals.

  • Gravity
  • Magnetics
  • EM
  • Resistivity
  • Seismic
  • Geology
Layered data cube

Integrate

Align, clean and contextualise data.

  • Quality control
  • Spatial alignment
  • Geological context
Inversion model block

Invert

Convert signals into subsurface responses.

  • Physics-based inversion
  • Uncertainty quantification
  • Depth assurance
Integrated geological model

Model

Build an integrated geological model.

  • Geological interpretation
  • Target confidence
  • Scenario testing
Ranked target map

Target

Prioritise with clarity. Drill with confidence.

  • Ranked targets
  • Risk assessment
  • Actionable insights

See how it works

Performance is measured against the ground.

Models are built on real data, validated by measurement, and proven in the field.

Predicted geology (model)
Predicted target zone geometry from the model
Target zone geometry and continuity predicted by the GeoservAi engine.
Physical core (drill data)
Rows of drill core in core trays
Actual drill core confirms geological structures, shapes and boundaries.

High correlation between predicted models and physical core data. Clarity you can trust.

More intelligence, less unnecessary disturbance.

GeoservAi transforms how you explore—targeting what matters, protecting what doesn’t.

Before
Terrain with extensive access lines and a large disturbance footprint
Broad coverage, many untested areas
120+planned drill holes
~8.5 km²surface disturbance
100%relative exploration cost
With GeoservAi
Terrain with a minimal disturbance footprint around focused targets
High-potential targets, de-risked
40–50planned drill holes
~1.6 km²surface disturbance
~35–45%relative exploration cost

Illustrative programme comparison.

Let’s map what’s next.

See the whole picture. Act with confidence.