Agile Geoscience
The new operating model for mineral discovery
Velocity, Confidence and Capital Efficiency
Download Agile Geoscience White Paper
Agile Geoscience transforms exploration into a real-time learning system, where insight compounds, risk declines, and every dataset improves the next investment decision.
"The limitation is not data volume, it’s decision velocity. Speed and confidence are the competitive advantages."
The three tenets of Agile Geoscience
Read the White Paper and deep-dive into the philosophy, core tenets and operational foundations of Agile Geoscience.
- Velocity
- Integration
- Adaptation
AI Built for Geoscience
Mining Intelligence demands more than processing power, modern mining needs models that are built from the ground up with geology. Fleet's Platform is designed, trained, and tuned for the subsurface.
| Fleet Space Agile Geoscience |
Legacy Consultants | AI Vendors | |
|---|---|---|---|
| Velocity + Data Acquisition |
Real-time acquisition and integration. End to end control of sensor networks, frequency, and in the-field QC enables continuous data flow from field to model |
Batch and delayed. Data trapped in silos; decision lag measured in months | Dependent inputs. Cannot generate or validate new data; reprocesses what's provided |
| AI Foundation |
Industry-specific and continuously learning. Proprietary geoscience trained foundation model, adapts with each new drill hole and assay |
Manual interpretation. Models rebuilt campaign by campaign; no feedback learning | Generic models. Pre-trained on non geoscience datasets, limited context or accuracy |
| Integration + Collaboration |
Unified environment. Geophysics, geology, and geochemistry fused into a single source of-truth model with cross functional insights |
Fragmented workflows. Geophysical, geochemical, and geological teams work in isolated silos | Narrow focus. Operate on partial data sets; no true integration across modalities |
| Decision Confidence |
Quantified uncertainty. Outputs ranked by confidence uplift and expected value, linking exploration to capital efficiency | Subjective confidence. Dependent on interpretation, not statistical certainty |
Opaque outcomes. No clear measure of reliability or decision impact |
| Governance + Trust |
Transparent lineage and auditability. Full data provenance for JORC/NI 43-101 alignment and ESG assurance | Manual reporting. Limited traceability, fragmented audit trails |
Black-box AI. Unclear data sources or transformation history |
| Strategic Outcome |
Velocity, confidence, and capital discipline. Converts exploration from a campaign expense into a compounding intelligence asset | Slow and reactive. Each project starts from zero; knowledge decays between campaigns |
Isolated outputs. Insight doesn't persist or improve organisational learning |
The Agile Geoscience workflow
Institutional learning:
Data Well With repeatable, standardised data integration, insights feed into a growing repository called the "Data Well." This is central to preventing data siloes and unusable data which doesn't then contribute towards future models. Along with capturing decisions, rationales and outcomes, it lives to become a compounded institutional memory that grows in value over time.
Cycle Speed
From the acquisition of new data, the goal is to move through this cycle as fast as possible, removing barriers which prevent the data from being transformed into actionable insights.
1. Hypothesis & Alignment
Projects begin with explicit hypotheses and uncertainty targets. Technical objectives align with corporate strategy and ESG commitments.
2. Acquire
Acquire historic and new data, such as geophysics from the ground, airborne or satellite, core data, geochemistry and other useful information.
3. Prepare
Standardise all inputs into a unified data architecture, including open standards and AI workflows.
4. Integrate
AI automated and human assisted processing fuses datasets into a living 3D model that evolves with every measurement. Geological interpretations become dynamic rather than static.
5. Predict
Targets are ranked by expected value, access cost, and confidence uplift. Machine learning identifies where the next invested dollar for data will deliver the most certainty.
6. Adapt
Each new survey, drill hole or assay becomes a new input which can inform decision making from the field to the board room.
Rapid Exploration and Resource Growth
Every meter counts
Agile Drilling
Drilling remains the most capital intensive part of exploration. Every metre counts, financially, environmental, and with reputational cost. Agile Geoscience applies continuous feedback loops to drilling programs, integrating live sensing, AI driven target ranking, and rapid model updates.
'Same targets, faster, with success built into your drill program'
The Drilling Imperative It's not about drilling fewer holes it's about drilling the right holes.
Strategic agility in decision-making
30% of financial losses are linked to geo scientific challenges such as ore grade, access and process recovery.
Drill to discover
AI-powered exploration techniques have been shown to quadruple discovery to get more out of drill budgets.
Achieve more with the same budget
AI-based geological exploration can reduce drilling costs by up to 60% and increase discovery success rates up to 4X.
Faster time-to-Insight
NPV erosion with time: Cost of delay is real ~83% of recent large projects ran over budget by 40%+. Move from seasonal decision cycles → daily.
Custom-built for global operators
Fleet Space works with some of the most complex and ambitious mining portfolios on Earth. Our platform is designed for scale, speed, and security, with deep integrations tailored for enterprise environments.
- Fully interoperable with your IT infrastructure
- ML-ready data lake built within your own environment
- Dedicated team and co-development model
- Secure, cloud-based platform continuously improved by Fleet Space
Built for Earth. Engineered by space.
To answer it, we had to reimagine how we understand our own.
Today, that vision powers ExoSphere ™, a space-enabled sensing platform that helps humanity make smarter decisions across the most complex, remote, and valuable environments on Earth, and soon... beyond.
Agile Geoscience is the new standard
"When one innovative industry joins another, magic happens."
-Flavia Tata Nardini, Chief Executive Officer & Co-founder