Mineral Exploration

The gold standard in passive seismic

We've pioneered the commercial deployment of ultra-sensitive ANT nodes, delivering rapid 3D subsurface imaging up to 7km in depth with minimal environmental impact. Real-time satellite uplink with edge processing and Quality Control (QC) at the node means turnaround from deployment to modelling can be as fast as 48 hours.

All this in combination with HVSR, means Fleet Space ANT has enhanced near-surface resolution, making it even more effective in resolving shallow geological structures; particularly valuable in early-stage target screening and structural interpretation.

• 3–10X more sensitive than standard sensors
  Industry-leading performance enables clearer imaging at depth and across complex terrains.
• HVSR integration for near-surface clarity
  Extends ANT capability to resolve shallow layers for structural and stratigraphic context.‍
• Real-time edge processing and QCSpace-powered satellite telemetry accelerating the entire workflow.

Next-gen gravity surveys without the logistical drag.

We are building a gravity system that reinvents a legacy method using state-of-the-art MEMS (Micro-Electro-Mechanical Systems) technology. Fleet Space’s MEMS-based gravimeters are compact, stable, and fully integrated with edge processing and satellite connectivity. By partnering with Silicon Micgrogravity (SMG),  we are building the only real-time MEMS gravity system that transmits processed data from the field via satellite, enabling faster workflows and immediate quality assurance. With just a single calibration required due to mechanical drift correction, future gravity surveys will be completed in hours, with higher confidence and less effort.

• Real-time quality control and edge processing. Data is validated as it’s collected at the node, ensuring high integrity results without delays or repeat site visits
  
• Drift-free operation with single calibration, eliminates the need for repeated baseline checks—streamlining deployment and improving consistency.
• ‍Compact, lightweight, and fast to deploy. Designed for modern field teams, our gravity tools are easily transported and operated, with minimal setup and no specialised logistics.

Rapid. Minimal digging. High-resolution resistivity mapping.

Fleet Space’s next-generation MT system delivers deep resistivity imaging with exceptional efficiency and minimal environmental impact. Using capacitive electrodes and compact magnetometers, MT surveys are fully non-invasive and deployable by small crews in remote or sensitive areas.

Edge processing and real-time quality control allow for in-field data validation and accelerated turnaround. A fast, clean, and scalable alternative without compromising depth or quality.

• 10–15 minute deployments, minimal digging required
  Lightweight and efficient setup with minimal operational effort.
  
• Real-time feedback and in-field modelling
  Enables faster decisions and survey confidence from day one
• ‍Sees through several kilometres
  Ideal for detecting conductive features and resistivity contrasts at depth.

By harnessing naturally occurring fluctuations in the Earth’s electric field, this emerging technique aims to eliminate the need for high-voltage injection; significantly reducing risk, complexity, and environmental impact. Using the same no-dig capacitive electrodes as our MT system, surveys will be fast to deploy and conducted by small crews in even the most sensitive environments. Most importantly, initial tests indicate that this passive approach could unlock chargeability imaging to depths exceeding 1 kilometre, delivering deeper insights without the heavy footprint.

• Safer, low-impact data acquisition. No high-voltage equipment or specialist operators required—ideal for community-sensitive or logistically challenging sites.
  
• Deep chargeability imaging beyond 1 km. Passive IP delivers high-resolution insights at depth, expanding the search space and supporting more informed drill decisions.
• ‍Lightweight, field-friendly deployment. Using Fleet Space’s no-dig capacitive electrodes for quick setups with minimal surface disruption and maximum operational flexibility.

High-resolution imaging with a low-impact footprint

Fleet Space’s active seismic solution delivers high-fidelity subsurface imaging in even the most logistically challenging environments. By focusing on low-impact acquisition techniques, it can be used in regions where traditional seismic surveys would be difficult to permit or deploy, especially in remote or ecologically sensitive areas.

With the acquisition of leading hard-rock seismic provider HiSeis, Fleet Space has significantly expanded its seismic capability. By combining HiSeis’ proven field expertise with the AI-driven power of the ExoSphere platform, we offer faster, smarter, and more scalable seismic workflows.

We are currently building our proprietary full waveform inversion (FWI) technology, accelerated by Fourier Neural Operators (FNO), which could reconstruct detailed subsurface velocity models up to 100× faster than traditional methods, enabling near real-time insight.

• Low-impact seismic acquisition
  Minimises surface disturbance and simplifies access in sensitive or hard-to-reach terrain.
  
• HiSeis integration + AI-enhanced FWI
  Combines world-class seismic expertise with AI acceleration to deliver rapid, high-resolution subsurface models.
• ‍High-fidelity, depth-resolved imagingIdeal for structurally complex or ambiguous geological settings—supports confident targeting at depth.

One model. Every method. Deeper clarity.

Fleet Space is building a next-generation joint inversion framework designed to unify diverse geophysical and geological datasets; ANT, MT, IP, Gravity, HVSR, Active Seismic, and drilling, into a single, coherent 3D model. Instead of treating each dataset in isolation, this approach respects the unique resolution, depth sensitivity, and uncertainty of each method, enabling a more complete picture of the subsurface.

We’re also developing our assay to mineralogy framework, which aims to directly link assay data to mineralogy, helping geoscientists interpret geophysical signals in terms of real rock properties, not just proxies. With uncertainty explicitly carried forward, the goal is to produce more interpretable, trustworthy outcomes that enhance strategic decision-making.

• Multiphysics inversion with built-in uncertainty
  A future-facing system that accounts for varying data strengths to generate more robust, actionable models.
  
• Geological meaning grounded in data
  Our assay to mineralogy framework will connect assay results to mineralogy for direct interpretation of subsurface models.
• ‍One model, one evolving truth source
  A single, unified view that blends all relevant data types into a cohesive framework for exploration.

Smarter drill targeting today. Learning to explore tomorrow.

Fleet Space’s AI is already driving smarter, faster exploration decisions. In today’s ExoSphere Discovery projects, we build predictive models of subsurface geology, targeting specific lithologies and mineralisation types by combining drilling data with Fleet Space’s proprietary multiphysics datasets and client inputs.

These models help geologists identify the highest-potential drill targets, reduce uncertainty, and extract more insight from every drill hole. It’s AI designed to accelerate subsurface understanding and increase confidence, without increasing campaign size or cost.

But this is just the beginning…

Fleet  Space is also laying the groundwork for the next generation of exploration intelligence: AI that learns how to explore. Still in early-stage development, this system is designed to go beyond interpretation. Using reinforcement learning, synthetic data, and real-time feedback loops, the goal is to create an AI that can adaptively select and sequence sensing methods to optimise discovery strategies in complex geological settings.

What our AI delivers today:

• Predictive modelling for lithology and mineralisation
  Trained on integrated datasets to support faster, more confident drill targeting.
  
• Data fusion from drilling + multiphysics
  Builds unified, interpretable subsurface models using all available data.
  
• Accelerated insight, fewer drill holes
  Increases the knowledge gained per hole, improving efficiency across the campaign.
  
  

What we're building next:

• Reinforcement learning for adaptive exploration
  AI that learns optimal exploration sequences through simulated scenarios.
  
• Synthetic geological training environments
  Training powered by a combination of public datasets and 400+ proprietary survey datasets, enabling exploration insights even in data-scarce regions.
• ‍Real-time feedback loops
  Aiming to evolve AI systems that continuously improve as new data is acquired.