Unify every asset signal. Diagnose faster. Predict earlier.

Connect common CMMS/EAM platforms, telemetry, defect reports, inspections, spreadsheets, GIS and commercial context without a rip-and-replace programme.

From fragmented data to closed-loop action.

Unification & single source of truth

Bring lifecycle data into one governed platform. Standardise codes and units, resolve duplicate identities, and keep mappings safe and auditable.

  1. Graph-backed shared asset ontology
  2. Rapid onboarding of common sources
  3. Versioned mapping and identity resolution
Descriptive analytics & fleet monitoring

Give executives, planners and engineers clear operational visibility with live asset health, fleet trends and ISO-aligned reliability KPIs.

  1. Availability, MTBF, MTTR and backlog views
  2. Bad actors, repeat failures and delay drivers
  3. Fleet, route and asset-level perspectives
Predictive & diagnostic intelligence

Move beyond dashboards with explainable alerts, master incident clustering, root-cause paths and forecasts of remaining useful life.

  1. Trend analysis and hidden pattern discovery
  2. Rule- and model-driven detection
  3. Evidence, confidence and provenance shown
Actionable & strategic integration

Every insight should lead somewhere. Push context into the CMMS, track outcomes, and support strategic initiatives with a formal decision loop.

  1. Create or enrich work orders
  2. Actions & decisions register
  3. Freshness, lineage, RBAC and SLOs

One platform. Three command views

Operations CenterReliability EngineeringPortfolio Summary
What needs my attention right now?Where is the failure mode emerging?How is the portfolio performing against business goals
Designed for operational triage, with live critical alerts, a watchlist of the poorest-performing assets and overdue tasks.

Live feed of critical alerts and priority incidents
Watchlist of units at elevated operational risk
Overdue tasks, holds, releases and daily action queue
Evidence attached before intervention decisions are made
Built for deep analysis: investigate incidents, compare trends, identify repeat failures, and explore hidden relationships across assets, parts and environment.

Incident Workbench and master incident clustering
Failure Analysis and Trend Analysis tools
Intelligence Explorer / knowledge graph
Asset 360° context down to sensor signatures
The executive view focuses on cost, availability, risk exposure and initiative progress — linking technical performance to business impact.

Total cost of ownership and availability at a glance
Strategic KPIs, risk exposure and initiative tracking
Commercial and technical context in one place
Clear evidence for investment and intervention decisions

The workflow should feel continuous, not modular.

Asset Explorer + GIS map

Search the full portfolio, filter by fleet, class, risk, route or customer, and see live or historical position alongside operational context such as speed restrictions.

The definitive record for a single asset
Incident Workbench
Failure Analysis & Trend Analysis
Predictive Analysis

Show which assets are most likely to fail next, why they are being flagged, and what their remaining useful life looks like.

More valuable than another reporting layer.

Fragmented operating picture

Asset identity Different systems use different codes, naming and hierarchy rules.

Operational view Reports are slow, manual and usually disconnected from live asset context.

Diagnosis Root-cause work is subjective, scattered and expensive.

Business impact Technical failures and commercial consequences rarely meet in the same view.

Action loop Insights live in decks and reports instead of flowing into execution systems.

One asset intelligence layer

Shared model Lifecycle data is normalised into a common ontology and graph-backed asset model.

Live evidence Telemetry, defects, downtime and history align on a single timeline or fleet view.

Explainable intelligence Alerts and predictions show evidence, confidence, drivers and provenance.

Technical + commercial context Reliability decisions can be assessed against cost, customer and business impact.

Closed loop Actions flow back into the CMMS and outcomes are tracked to learn what works.