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Subsurface Intelligence

Stop thembefore they surface.

TunnelHunter transforms underground vibration, seismic activity and subsurface radar into real-time intelligence — detecting tunnelling operations before protected facilities, borders or critical infrastructure are breached. Powered by AIREZ Sense™, Edge AI and the AIREZ GSOC.

AIREZGSOCSURFACE · PROTECTED LINEAIREZ SENSE · BURIED FIBERGEOPHONE ARRAYGPREXCAVATION DETECTEDBEDROCK · DEPTH MODEL
  • Fiber
  • Geophones
  • Ground radar
  • Detected before breakthrough

Section 01

The threat beneath the surface.

Traditional perimeter security protects the surface. TunnelHunter protects what lies below — extending the AIREZ Physical Intelligence Layer into the subsurface domain.

01

Cameras

Complete coverage of everything above ground, and nothing below it.

02

Fences

A barrier that ends precisely where the excavation begins.

03

Patrols

Rarely encounter digging until spoil, subsidence or breakthrough reveals it.

04

Buried Fiber

AIREZ Sense hears micro-vibration through soil, continuously, along every metre.

05

Geophone Array

Low-frequency ground movement confirms and locates the excavation.

06

Ground Radar

Voids and soil-density anomalies imaged beneath the protected line.

07

Subsurface Awareness

An active tunnel understood, tracked and intercepted before breakthrough.

Section 02

Multi-layer subsurface detection.

Five stacked layers, each answering a question the layer above cannot.

0–3 m · continuous

Fiber Layer

AIREZ Sense (FoRi) resolves micro-vibration and tunnel-wall disturbance along the entire buried run, with no powered device in the ground.

Section 03

From soil movement to operational intelligence.

TunnelHunter identifies excavation activity while it is happening — long before a completed tunnel exists.

  1. 01

    Fiber Vibration detects first

    A disturbance in the soil column resolved to a position along the buried run.

  2. 02

    Geophone Confirmation corroborates

    Independent low-frequency confirmation removes surface and machinery false positives.

  3. 03

    Ground Radar Imaging renders it

    Void and density imaging turns the signature into observed subsurface structure.

  4. 04

    AI Pattern Recognition classifies

    Hand digging, mechanical drilling, shoring or blasting, distinguished by signature.

  5. 05

    Trajectory Prediction projects

    Heading and progression modelled from accumulated detections along the corridor.

  6. 06

    Depth Estimation measures

    Excavation depth resolved against the local geological profile.

  7. 07

    Time-to-Breach Forecast times it

    Progress rate converted into an operational window for response.

  8. 08

    Operator Notification escalates

    Risk-scored alert with map, depth, heading and supporting evidence attached.

  9. 09

    Coordinated Response closes it

    Intercept drill points, dispatch and evidence capture coordinated from the GSOC.

Section 04

Key capabilities.

Four capability groups spanning detection, subsurface reasoning, coordination and hardened deployment.

Digging Detection

  • Hand excavation.
  • Mechanical drilling.
  • Pickaxe activity.
  • Explosive signatures.
  • Shoring installation.

Subsurface Intelligence

  • Tunnel trajectory modeling.
  • Depth estimation.
  • Geological normalization.
  • Excavation progress tracking.
  • Time-to-breach prediction.

GSOC Coordination

  • Tunnel risk maps.
  • Intercept drill-point recommendations.
  • Dispatch coordination.
  • Evidence collection.
  • Incident history.

Hardened Deployments

  • Underground fiber.
  • Passive sensing.
  • EMF immunity.
  • Tamper alerts.
  • Redundant communications.

Section 05

Deployment environments.

Select an environment to see the operational scenario TunnelHunter is configured against.

Border CorridorsPrison PerimetersMilitary InstallationsAmmunition DepotsGovernment FacilitiesCritical InfrastructureSecure Storage SitesHigh-Security Compounds

Deployment scenario

Border Corridors

Cross-border excavation detected mid-dig along linear corridors, with heading and depth reported before breakthrough.

Section 06

One sensing layer inside a larger intelligence.

TunnelHunter is a specialized subsurface layer within the Physical Intelligence ecosystem. Underground detections become part of the broader operational picture rather than a separate console.

  • AIREZ Sense (FoRi)

  • Geophones

  • Ground Radar

  • ShadowGrid

  • SilentApproach

  • GhostTrack

  • MissionGraph

  • Sky Watch

  • GSOC

  • AI Models

Section 07

Commercial deployment.

Delivered as a corridor programme, scoped to terrain, geology and protected asset.

Linear Detection Corridors

Continuous subsurface coverage engineered along the protected line.

Fiber & Geophone Arrays

Buried AIREZ Sense runs paired with geophone confirmation nodes.

Ground Radar Systems

Void and density imaging where confirmation and depth resolution are required.

Edge AI Appliances

Hardened on-site compute running classification and scoring locally.

AIREZ Analytics

Trajectory, progression and geological models that improve across deployments.

GSOC Monitoring

24/7 operational surface, escalation and dispatch coordination.

Federal Counter-Tunnel Programs

Multi-site programmes with sustainment, training and evidentiary standards.

Section 08

Future roadmap.

Subsurface understanding compounds with every corridor deployed.

Deployed

Today's TunnelHunter

Fiber, geophone and radar fusion with trajectory, depth and time-to-breach reasoning.

Horizon 1

AI Soil Classification

Signatures normalized automatically against local soil composition.

Horizon 2

Advanced Geological Modeling

Full subsurface models used to predict feasible excavation routes.

Horizon 3

Autonomous Inspection Robots

Ground platforms verifying and imaging suspected voids.

Horizon 4

Satellite Terrain Correlation

Surface displacement and spoil signatures correlated from orbit.

Horizon 5

Predictive Tunnel Risk Mapping

Corridors ranked by likelihood before any digging begins.

Horizon 6

National Counter-Tunnel Networks

Federated subsurface awareness shared across agencies and borders.

Section 09

Why TunnelHunter.

Perimeter security ends at the surface. TunnelHunter adds the third dimension.

Traditional Perimeter Security

AIREZ TunnelHunter

Surface only

Surface + subsurface

Reactive discovery

Predictive detection

Visual monitoring

Multi-sensor intelligence

Manual inspection

Continuous monitoring

Unknown underground activity

AI subsurface awareness

Own the domain below the surface.

TunnelHunter extends the AIREZ Physical Intelligence Layer into the underground environment, combining fiber-optic sensing, geophones, radar and AI reasoning to detect excavation, tunnelling and subterranean threats before protected assets are compromised. It transforms hidden underground activity into actionable operational intelligence.

  • Border Security
  • Correctional Facilities
  • Military Installations
  • Federal Agencies
  • Critical Infrastructure
  • High-Security Compounds