Built to make the subsurface intelligible.

GeoservAi is autonomous multi-physics subsurface intelligence, developed by Appcre8, which holds all proprietary intellectual property.

Aerial view of a lake and rugged terrain

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.

We built GeoservAi to close that gap. By fusing multiple physical signals with geological knowledge and calibrating the result against thousands of physical drill holes, we turn uncertainty into advantage—so teams can make bolder calls with greater confidence. We think of it as the ‘MRI of the Earth’: non-invasive, high-resolution and decision-ready.

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.

Cloud native. Secure by design. Open and interoperable.

Cloud native

Delivered as a scalable platform, so models and results are available to your whole team.

Secure by design

The interpretation engine is sealed and air-gapped. Clients receive verified 3D target coordinates and drill schedules; the proprietary algorithms and calibration weights never leave Appcre8.

Open and interoperable

We work with your existing geophysical, drill, geological, spatial and geochemical data and fit into your exploration lifecycle.

Tested across complex geological environments.

Real projects. Real results. Real impact. GeoservAi has been applied across a wide range of geological settings in the DRC and Zambia—helping teams reduce uncertainty, improve targeting and make smarter drilling decisions.

7featured copper projects
2countries: DRC and Zambia
1000+ km²of geological models interpreted
1000+drill holes informed

Lualaba Province, DRC

Complex stratigraphy and high-grade copper systems.

Model area
250 km²
Target type
Stratiform Cu
Outcome
Enhanced target definition and drill efficiency

Lualaba Province, DRC

Folded and faulted sequences with structural complexity.

Model area
180 km²
Target type
Cu-Structural
Outcome
Improved targeting in complex terrain

Lualaba Province, DRC

Sedimentary-hosted copper with structural overprint.

Model area
120 km²
Target type
Stratiform Cu
Outcome
Reduced uncertainty in the model

Lualaba Province, DRC

Deep cover with limited data and complex geology.

Model area
150 km²
Target type
Covered Cu
Outcome
De-risked targets and drill planning

Central Province, Zambia

Copper deposits in the Kafue Basin.

Model area
100 km²
Target type
Stratiform Cu
Outcome
Better understanding of geological continuity

Copperbelt, Zambia

Complex structures in the mineralised fold belt.

Model area
140 km²
Target type
Cu-Structural
Outcome
Refined structural models and target ranking

Copperbelt, Zambia

Multiple mineralised horizons with limited drilling.

Model area
110 km²
Target type
Stratiform Cu
Outcome
Increased confidence in drill targeting

From stratiform to structurally controlled systems, GeoservAi adapts to complex geology and delivers clarity where it matters most. One platform. Multiple environments. Consistent results.

Better targeting can change the economics of exploration.

70–85%Drilling efficiency: reduction in metres drilled to achieve target confidence compared with conventional campaigns2
65–75%Target validation: increase in geological target validation rate versus traditional methods3
Up to 98%Decision confidence: increase in confidence in target selection decisions4

Footnotes. 2. Comparative analysis of drilling programmes designed with and without GeoservAi targeting insights. 3. Measured as the proportion of modelled targets that were geologically validated by subsequent drilling. 4. Based on client survey results (n=37) rating decision confidence improvement after using GeoservAi. Figures draw on a review of 24 exploration projects across diverse commodities and geographies, 2020–2024.

Ready to see more of what’s beneath?

Tell us about your project and we’ll show you what GeoservAi can do.