Technology built for
infrastructure intelligence.
AssetStack combines machine learning, digital twin modelling and real-time data pipelines on an enterprise-grade, audit-ready foundation — designed for the teams procurement signs off.
Security & Trust
Designed for the teams
procurement signs off.
Every architectural decision optimises for one outcome: when your CISO, regulator or insurer asks, you have a defensible answer in seconds.
Customer data is encrypted on the wire and on disk via the underlying cloud platform.
Every prediction, retrain, and savings entry is logged with the actor, timestamp and outcome.
Your records are logically scoped to your workspace and never used to train shared models.
Granular permissions per role from technicians to admins, configurable in-product.
Run on our managed cloud today; private-cloud and self-hosted deployment available on Enterprise.
Architecture and processes designed to support SOC 2 and ISO 27001 evidence requests.
Architecture
The technology
behind AssetStack.
AssetStack is built on a modern data architecture that connects infrastructure systems, IoT sensors and operational databases into a unified intelligence platform.
Data Sources
IoT sensors, inspections, asset registries, SCADA, GIS.
Data Ingestion Layer
Real-time pipelines, connectors, structured ingestion.
Asset Data Platform
Single source of truth, normalised, per-tenant isolated.
Machine Learning Engine
Anomaly detection, RUL, ensemble predictive models.
Analytics & Insights
Dashboards, scenario modelling, executive reporting.
Maintenance Optimisation
Risk-prioritised work orders and capital planning.
AI-powered infrastructure intelligence.
AssetStack's predictive engine uses machine learning to analyse asset behaviour and identify early warning signals of equipment degradation.
Capabilities
- Anomaly detection
- Failure classification
- Predictive maintenance modelling
- Remaining useful life prediction
AI models used
- Isolation Forest
- LSTM Autoencoders
- Ensemble Predictive Models
- Weibull Reliability Models
Benefits
- Predict failures earlier
- Improve maintenance planning
- Increase asset reliability
Digital twin infrastructure models.
Visualise asset networks using digital twins and geospatial mapping for a spatial understanding of infrastructure systems in context.
Capabilities
- 3D infrastructure models
- GIS asset mapping
- LiDAR integration
- Asset performance overlays
Benefits
- Better operational visibility
- Improved infrastructure planning
- Enhanced inspection workflows
Unified infrastructure data platform.
Integrates data from multiple operational systems into a unified platform that acts as the single source of truth for infrastructure assets.
Capabilities
- Real-time data ingestion
- Structured asset data modelling
- High-volume data processing
- Secure cloud infrastructure
Data sources
- IoT sensors
- Inspection reports
- Asset registries
- Maintenance systems
- Operational databases
Built to integrate with your systems.
AssetStack integrates with existing infrastructure systems and enterprise software platforms.
Capabilities
- API integrations
- Data connectors
- Secure data pipelines
Integration types
- IoT platforms
- GIS systems
- SCADA systems
- Enterprise asset management
- Cloud data platforms
Enterprise-grade security and scalability.
Built to support large-scale infrastructure networks and enterprise operational environments.
Features
- Cloud-native architecture
- Secure data access controls
- Scalable infrastructure monitoring
- High availability platform
Benefits
- Reliable platform performance
- Secure infrastructure data
- Support for large asset fleets
Get started
Experience
AssetStack technology.
Discover how AssetStack combines AI, digital twins and infrastructure data on a secure, audit-ready platform to deliver predictive intelligence across asset networks.