Agile Geoscience
The new operating model for mineral discovery
Velocity, Confidence and Capital Efficiency
Agile Geoscience
"The limitation is not data volume, it’s decision velocity. Speed and confidence are the competitive advantages."
Agile Geoscience White Paper
A New
Competitive
Edge
Global demand for critical minerals is accelerating, yet discovery rates are falling, costs are rising, and timelines are stretching.
Agile Geoscience transforms exploration into a real-time learning system, where insight compounds, risk declines, and every dataset improves the next investment decision.
The three tenets
Tenets of
Agile Geoscience
Read the White Paper and deep-dive into the philosophy, core tenets and operational foundations of Agile Geoscience.
[ 1 ]
Velocity
[ 2 ]
Integration
[ 3 ]
Adaptation
Our Technology
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 | Real-time acquisition and | Batch and delayed. | Dependent inputs. |
AI
| Industry-specific and continuously learning. | Manual interpretation. | Generic models. |
Integration | Unified environment.
| Fragmented workflows. | Narrow focus.
|
Decision
| Quantified uncertainty. | Subjective confidence. | Opaque outcomes. |
Governance
| Transparent lineage and auditability. | Manual reporting.
| Black-box AI.
|
Strategic
| Velocity, confidence, and capital discipline. | Slow and reactive. | Isolated outputs. |
The Workflow
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 acquistion 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 acgitonable insights.
[ 1 ]
Hypothesis
& Alignment
Projects begin with explicit hypotheses and uncertainty targets. Technical objectives
align with corporate strategy and ESG commitments.
[ 2 ]
Accquire
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.
The fastest, defensible clarity on where to focus, before committing millions to the wrong ground.
Use your data to
uncover where the system continues, beyond what’s already drilled.
Confidence, speed and precision built into every model, drillhole and investment decision.
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.
Each hole refines the next.
'Same targets, faster, with success built
into your drill program'
Agile Drilling
The Drilling Imperative
It's not about drilling fewer holes it's about drilling the right holes.
Strategic agility in
decision-making
30% of financials 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.
Our Technology
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
ExoSphere by Fleet
Built for Earth.
Engineered
by space.
Our mission began with a question: How do we explore other worlds?
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.
Explore like never before
Agile Geosciece is the new standard
“When one innovative industry joins another, magic happens.”
-Flavia Tata Nardini,Chief Executive Officer & Co-founder