Rail Infrastructure

From raw rail data to verified engineering decisions.

AssetStack is the integrated rail asset intelligence platform that closes the loop between detection and verification, so every intervention is traceable, every assumption is visible, and every model learns from outcomes.

  • 5-StageContinuous engineering process
  • 3-ClassEvidence classification system
  • 1 PlatformFrom network view to work order
  1. Detect
  2. Diagnose
  3. Decide
  4. Execute
  5. Verify

One connected process. Not five disconnected systems. Each stage produces the evidence the next stage depends on, and verification feeds confirmed outcomes back into the models.

Rail Overview

Rail Asset Intelligence Platform

Traditional asset systems show what is recorded. AssetStack identifies what is changing, diagnoses why it is changing, forecasts what may happen next, recommends an intervention, supports delivery, and verifies whether the work achieved the intended result.

It brings together track geometry, rail condition, welded track stability, switches and crossings, signalling, substructure, sensors, digital twins, inspections, work orders, possessions, materials, compliance and capital planning in a single operational picture.

“The confidence you place in a conclusion should depend on the quality of the evidence behind it.”

Integrated Data Sources

  • Geometry vehicles
  • Inspection files
  • Condition surveys
  • Sensors
  • Imagery
  • Video
  • LiDAR
  • Ground penetrating radar
  • Work records
  • Asset registers

How It Works

The Continuous Engineering Process

One connected process, not five disconnected systems. Each stage produces the evidence the next stage depends on, and verification feeds confirmed outcomes back into the models.

  1. Detect

    Ingest, validate and position geometry, inspection, sensor, imagery and survey evidence against the network.

  2. Diagnose

    Combine condition with history, deterioration rate, exposure and operational context to identify the failure mechanism.

  3. Decide

    Evaluate severity, consequence and options. Govern recommendations through engineering review and approval.

  4. Execute

    Convert approved decisions into work orders, possessions, materials and field instructions with readiness controls.

  5. Verify

    Compare condition before and after. Record effectiveness. Feed verified outcomes back into the models.

Verified outcomes become new evidence for future predictions, maintenance strategies and failure mode analysis.

  • Every intervention traced to evidence

    No decision exists without a visible chain of reasoning back to source data.

  • No handoffs lost between stages

    Work orders, possessions and materials are linked directly to the decision that created them.

  • Models improve from verified outcomes

    Post-work validation closes the loop so predictions get more accurate over time.

Foundational Principle

Evidence Classification

Every result in AssetStack is classified: measured, derived or modelled. Users can always distinguish source evidence from calculated indicators and predictive outputs, because the confidence placed in a conclusion should depend on the quality of the evidence behind it.

  • Measured

    Source Evidence

    Direct measurements and observations from the field.

    • Geometry vehicle readings
    • Inspection records
    • Sensor values
    • Survey results
    • Recorded stress free temperatures
    • Laser wear profiles
  • Derived

    Calculated Indicators

    Calculated from measured evidence using defined, reviewable logic.

    • Condition indices
    • Exceedance classifications
    • Deterioration rates
    • Stability loss factors
    • Health scores
  • Modelled

    Predictive Outputs

    Predictive or scenario outputs with visible assumptions.

    • Failure probabilities
    • Remaining useful life
    • Forecast threshold crossings
    • Disruption cost estimates
    • Capital scenarios

Why it matters: Financial and disruption calculations use visible planning assumptions. Values such as disruption cost per minute are not treated as measured facts unless supplied and approved by the organisation. Where forecast evidence is insufficient, AssetStack identifies the result as uncertain rather than presenting false precision.

Governance & Operations

The Decision Layer

A common operational picture for engineering, maintenance, planning and leadership teams, and a controlled route from a technical finding to an approved, traceable, verified action.

Network Command Centre

An operational view of the rail network bringing together critical defects, asset risks, overdue work, possession blockers, emerging trends and recent activity.

  • Network condition and risk summaries
  • Corridor and line level comparisons
  • Priority actions and overdue decisions
  • Execution blockers
  • Maintenance closeout performance
  • Current alerts and operational activity
  • Engineering briefing generation
  • Risk maps and asset drilldown
  • Links into the Network Decision Room

Network Decision Room

Converts technical findings into controlled, traceable actions. Each decision moves through review, approval, execution, validation and closure.

  • Affected asset and network location
  • Measured condition evidence
  • Derived risk indicators
  • Modelled forecasts
  • Confidence in the recommendation
  • Operational and safety consequences
  • Recommended intervention
  • Required delivery window
  • Supporting standards and assumptions
  • Approval status and linked work orders
  • Post-work validation results
Use Cases
  • Network risk summaries
  • Priority actions
  • Engineering briefings
  • Governed decision review
Outcomes
  • One picture from network to record
  • Clear decision audit trail
  • No finding left without action

Capabilities

Track, Structure & Rail Intelligence

Specialised modules that analyse rail infrastructure at sample, defect, segment, corridor and network level, with forecasts that carry confidence information, never false precision.

Track & Structure Intelligence

Predictive Track Geometry

AssetStack analyses track geometry at multiple scales. Successive runs are aligned and compared, and forecasts carry confidence information. No single-point guess is ever presented as a trend.

  • Continuous Geometry Analysis

    Geometry data displayed against chainage so engineers see precisely where a condition begins, peaks and recovers. Synchronous strip charts distinguish isolated noise from broader track response.

  • Exceedance Analysis

    Identifies measurements crossing alert, intervention and immediate action thresholds. Adjacent samples consolidate into discrete defect locations. Continuous defects are never split into unrelated events.

  • Rate of Change & Forecasting

    Successive runs aligned by chainage calculate whether a parameter is stable, improving or deteriorating. Predictive tools estimate when a segment may reach intervention level, with honest confidence bounds.

  • Gauge
  • Short twist
  • Long twist
  • Alignment
  • Longitudinal level
  • Cross level
  • Superelevation
  • Curvature
  • Rail line measurements
  • Rail top measurements
  • Geometry quality indicators
  • Historical replay

Advanced intelligence: Rate of change heatmaps · Multi-scale analysis · Probabilistic exceedance · Weather-adjusted deterioration · Peer comparison · Resilience analysis · Deterioration decomposition · Priority ranking · Tamping planning · Temporary speed restriction support · Intervention simulation · Post-maintenance comparison

Network Condition

Track Condition Index

A consistent way to compare track condition across the network. AssetStack calculates segment-level condition indicators from available geometry evidence and displays condition by line, chainage and risk category.

  • Network and corridor summaries
  • Condition heatmaps
  • Segment ranking
  • Historical condition replay
  • Contributing factor decomposition
  • Deterioration velocity
  • Peer comparison
  • Weather sensitivity
  • Probabilistic risk assessment
  • Resilience assessment
  • Intervention simulation
  • Portfolio optimisation

Engineer insight: See not only which segment has the poorest current condition, but also which is deteriorating fastest and where intervention is likely to create the greatest benefit.

Thermal & Stability

Welded Track Stability Analysis

Supports welded track stability assessment for continuous welded rail. Measured stress free temperature evidence is differentiated from inferred values, and stability loss factors are calculated against design intent.

  • Stress Free Temperature Register

    Destressing records stored against line and chainage, including destressed length, date, recorded SFT, design SFT, rail temperature during work, destressing method, anchor verification and certification status.

  • Measured vs Inferred Evidence

    AssetStack differentiates measured stress free temperature evidence from inferred values. Confidence in a stability conclusion depends on the quality and recency of the underlying evidence.

  • Stability Risk Identification

    Calculates stability loss factors, temperature headroom and evidence coverage. Identifies locations where SFT is below design, records have been disturbed, anchors are unverified, or geometry and stability risks coincide.

Evidence considered: Stress free temperature · Design SFT · Expected rail temperature · Ballast condition · Sleeper and fastening condition · Track disturbance · Tamping and rerailing history · Anchor verification · Geometry condition · Environmental exposure

Outputs: Evidence-led heat response planning · Work restrictions · Speed restriction decisions · Destressing priorities · Assurance review

Rail Integrity

Rail Condition & Fracture Intelligence

Manages rail wear, rail defects, welds and rolling contact fatigue. Fracture analysis exposes its model inputs as assumptions engineers can review and change, not hidden constants.

  • Rail Wear Tracking

    Vertical and lateral wear recorded by rail, line and chainage. Current measurements are compared with available limits and the rate of rail life consumption is tracked over time.

  • Defect Lifecycle Records

    Full defect records including type, location, measured size or depth, severity, inspection date, supporting evidence, recommended intervention, and work and closure status.

  • Transparent Fracture Risk

    Crack development analysis with remaining margin to critical condition. Model inputs (growth rate, critical depth, tonnage, inspection interval) are exposed as reviewable assumptions.

Supported analysis: Rolling contact fatigue analysis · Crack growth scenarios · Grinding and replacement planning · Full defect lifecycle management · Interventions verified after the fact

Trusted by Rail Operators

Built for the realities of running a rail network

AssetStack is designed around the governance, safety and compliance requirements of modern rail infrastructure, where every decision must be traceable and every assumption visible.

  • 5-StageClosed-loop process from detection to verification
  • 3-ClassEvidence classification for honest confidence
  • 100%Traceable from network summary to source record
  • 0Hidden constants in fracture and forecast models

Used by infrastructure managers and operators to unify track geometry, condition monitoring, stability analysis and engineering governance in a single operational picture.

Rail industry

Where AssetStack Fits in Your Rail Technology Stack

We don't replace your track recording car or your signalling system. We make sense of what they produce, and turn it into verified work orders and defensible decisions.

Raw measurement & inspection evidence

  • Track Geometry Systems

    TGMS · Eurailscout · MERMEC · Plasser · Rail Measurement Australia · EN 13848

  • Rail Inspection & NDT

    Sperry Rail · Goldak · eddy current · acoustic emission · RailBAM

  • Switch & Crossing Monitoring

    Point condition monitors · switch wear sensors · crossing inspection feeds

  • Signalling & Train Control

    TrainWorks · Thales SelTrac · Alstom · CBTC · ERTMS-ETCS

  • Wayside Condition Monitoring

    HBD/HWD · WILD · Track IQ · bridge SHM · InSAR

Intelligence layer

AssetStack

Intelligence layer

  • Condition grading
  • Degradation modelling
  • Scenario planning
  • Work order generation

Verified work orders & decisions

  • CMMS / EAM

    Maximo · SAP PM · Ellipse · AssetWise · Assetic · Railify

  • Finance & ERP

    SAP · Oracle · TechnologyOne · Ellipse Financials

  • Regulatory Reporting

    EN 13848 · ISO 55001 · audit-ready evidence packs

  • Capital Programmes

    Scenario-backed renewal and upgrade plans

GIS & corridor, works management and finance feeds connect the same way.

See your network with evidence you can trust

Book a demo to see how AssetStack connects detection, diagnosis, decision, execution and verification in one continuous engineering process, built specifically for rail.

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