The AssetStack
Platform.

A unified infrastructure intelligence platform combining inspections, digital twins, IoT data and machine learning to predict failures and optimise asset operations.

How it works

One Connected
Intelligence System.

AssetStack connects field inspections, sensor networks, asset registries and AI analytics into a continuous intelligence loop — transforming raw operational data into actionable insights.

01

Data Collection

AssetStack collects data from inspections, IoT sensors, GIS systems and operational databases.

  • Field inspections
  • Sensor telemetry
  • Maintenance logs
  • Asset registries
  • Digital twin models
02

Data Unification

The platform integrates multiple systems into a single operational data layer.

  • Single source of truth for infrastructure assets
03

AI Analysis

Machine learning models analyse patterns across asset behaviour.

  • Anomalies
  • Degradation trends
  • Early failure indicators
04

Predictive Insights

AssetStack forecasts asset health and reliability.

  • Failure probability
  • Remaining useful life (RUL)
  • Asset health scores
05

Maintenance Optimisation

The platform automatically generates maintenance recommendations and prioritises tasks.

06

Executive Insights

Automated reports provide operational and strategic intelligence for asset managers and leadership teams.

Platform modules

Modular Infrastructure
Intelligence Platform.

AssetStack's modular architecture allows organisations to deploy only the capabilities they need while seamlessly expanding as infrastructure systems grow.

Asset Hierarchy156 nodes
Portfolio coverage
112 OK32 watch12 critical
Asset detail
Rooftop Unit #2
Library Building · Roof
Anomaly detected
Health score
62%
Next service
5 days
Vibration · mm/s14d
Findings:2Open in Asset Tree →
01Module

Asset Registry

A centralised system of record for all infrastructure assets, providing a single, trusted source of truth across your organisation.

AssetStack consolidates asset data from multiple systems into one unified platform, ensuring teams always work from accurate, up-to-date information.

Key capabilities

  • Comprehensive asset metadata including type, specifications, and ownership
  • Geospatial location tracking across sites and regions
  • Operational status monitoring such as active, degraded, or offline
  • Lifecycle management from acquisition through to replacement
  • Complete maintenance history for audit and compliance

Better decision-making, compliance reporting, and long-term asset planning.

Industrial Facility Digital Twin

3D Digital Twin · Matterport

02Module

Digital Twin

Visualise and interact with your infrastructure through high-fidelity digital representations of real-world assets.

AssetStack's digital twin layer combines 3D models, mapping data, and operational inputs into a single interface, allowing teams to monitor and analyse assets remotely.

Key capabilities

  • 3D visualisation of assets and infrastructure networks
  • Overlay inspection data directly onto assets
  • Integration of live sensor data into digital models
  • Remote inspection and condition review
  • Historical comparison of asset changes over time

Reduce site visits while improving understanding of asset condition and performance.

Live sensor stream
Library HVAC #2 · 4 sensors online
Live · MQTT
Vibration
4.2mm/s
limit 5 mm/s
Temperature
78°C
limit 85 °C
Current
21.7A
limit 28 A
Pressure
7.0bar
limit 8 bar
Vibration · last 60s10 Hz · MQTT
5.0 limit
Threshold rules
Vibration > 5.0 mm/s0 hits
Temperature > 85°C0 hits
Current draw > 28 A0 hits
03Module

IoT Sensor Integration

Connect real-time telemetry from industrial sensors and operational systems into AssetStack to enable continuous monitoring of asset performance.

The platform integrates with IoT devices, SCADA systems, and other data sources to create a live operational view of your infrastructure.

Key capabilities

  • Real-time data ingestion from sensors and APIs
  • Monitoring of vibration, temperature, pressure, and operational load
  • Threshold-based alerts and anomaly detection
  • Scalable ingestion architecture for large asset networks
  • Integration with legacy systems

Early warning signals enabling proactive maintenance strategies.

Inspection workflow
From field finding to scheduled work
Live
Created
Approved
Scheduled
Assigned
Created
Inspection finding captured
Crack · 18mm · East wall · Library Building
M. Chen · Field techPhoto + GPS + AI severity
04Module

Inspection Workflows

Digitise and standardise field inspections with mobile-first workflows that ensure consistent, high-quality data capture.

AssetStack replaces paper-based and inconsistent processes with structured inspection tools that integrate directly into your asset data ecosystem.

Key capabilities

  • Customisable inspection checklists
  • Defect tagging and categorisation
  • Image and media capture linked to assets
  • AI-assisted defect identification and analysis
  • Offline capability for remote environments

Improved data quality, reduced human error, and consistency across teams.

Technician · J. Rivera Online
WO-2042Urgent
HVAC compressor replacement
Library Building · Roof Plant Room
Hours3.5 hrs
PartsCompressor · Seal kit
Photonameplate.jpg
Asset treeLive
Library Building
Roof Plant Room
HVAC Compressor #2fault
HVAC Compressor #1
Mechanical Room
HVAC Compressor #2 · history
Received
Logging
Synced
05Module

Maintenance Management

Plan, track, and optimise maintenance activities across your entire asset portfolio with a centralised maintenance management system.

AssetStack enables organisations to shift from reactive maintenance to structured, predictive workflows that extend asset life and reduce downtime.

Key capabilities

  • Preventive and predictive maintenance scheduling
  • Work order management and assignment
  • Parts, labour and cost tracking
  • Maintenance history and audit trails
  • AI-generated maintenance recommendations

Lower operating costs and longer asset life across the portfolio.

Predictions engine
Continuous failure forecasting
gemini_3_1_pro
Asset health
Pump P-204
Failure
Health
38
RUL
12d
Analysing sensor + condition data…
Vibration anomaly detected
Temperature trending up
Cross-checking history
06Module

AI & Predictive Analytics

Machine learning models trained on your operational data to forecast asset behaviour, surface anomalies and predict failures before they happen.

AssetStack combines time-series analysis, computer vision and reliability engineering models into a single predictive engine.

Key capabilities

  • Anomaly detection across sensor and inspection data
  • Remaining useful life (RUL) forecasting
  • Failure probability scoring
  • Health index per asset and asset class
  • Continuous model improvement from new data

From reactive maintenance to confident, evidence-based decisions.

Executive dashboard
Q2 FY26 · Board pack
Portfolio value
$1.84B
+2.4%
Avg health index
78
+3 pts
Backlog cost
$12.4M
-8.1%
Compliance
96%
+1.2%
Capital spend forecast
Planned Actual
FY24
FY25
FY26
FY27
FY28
ISO 55000 Asset Management Report
Generated 2 hrs ago · 47 pages · Audit-ready
Signed off
07Module

Executive Reporting

Automated dashboards and reports that translate raw operational data into strategic insight for leadership and finance teams.

AssetStack produces audit-ready outputs aligned to ISO 55000 and IPWEA reporting standards.

Key capabilities

  • Portfolio-level KPIs and health indices
  • Replacement forecasts and capital planning views
  • Compliance and audit reports
  • Custom dashboards by role and persona
  • Scheduled and on-demand exports

A clear line of sight from field condition to board-level decisions.

Finance Hub
FY26 capital plan · $14.2M
Optimiser off
Allocation by class
Buildings38%
Roads24%
Water assets18%
Plant/Fleet12%
Other8%
Total committed$14.2M
Funding optimiser
Current plan
Spend
$14.2M
Risk
68 /100
ROI
1.0×
Optimised plan
Spend
$14.2M
Risk
32 /100
ROI
2.4×
Constrained -20%
Spend
$11.4M
Risk
51 /100
ROI
1.6×
08Module

Finance Hub & Funding Optimiser

A finance-grade view of your asset portfolio with an AI-driven optimiser that allocates capital where it reduces the most risk per dollar.

AssetStack connects condition, risk and replacement cost data into a single financial layer, then runs scenario optimisation to maximise outcomes within constrained budgets.

Key capabilities

  • Portfolio valuation and depreciation tracking
  • Capital plan and replacement forecasts
  • Funding optimiser across asset classes and scenarios
  • Risk-adjusted ROI on every dollar of maintenance spend
  • Board-ready financial reporting and scenario comparison

Defensible investment decisions that deliver more reliability per dollar.

See it on your assets

Bring your asset portfolio
into one intelligence layer.

Book a 30-minute demo and we'll show you how AssetStack consolidates your inspections, sensors and registries into predictive insight — using your data.