AI-driven decisions across every domain.

Industrial operators already have more data than they can read. What they lack is intelligence across domains — models that see contracts, assets, reliability, safety, and workforce as one connected reality, and generate decisions ahead of events, not reports after them.

DATA IS NOT INTELLIGENCE

Volume without context produces dashboards, not decisions.

Most industrial organisations are awash in SCADA, sensor, ERP, and CMMS data. But critical decisions still get made on instinct, spreadsheets, and last-minute calls. The gap is not more data — it is contextual intelligence that fuses signal across domains and produces ranked, explainable recommendations.

Reactive pattern recognition

Most analytics surface what already happened. Operational intelligence has to tell you what will happen, and what to do about it.

Siloed AI

A maintenance model that doesn’t see contracts, a contract model that doesn’t see assets, a safety model that doesn’t see workforce — each missing the context that makes the prediction reliable.

Static rules

Thresholds set once, decaying over time. Real intelligence improves continuously with operational reality.

INTELLIGENCE IN PRACTICE

Calibrated to your plant, your data, your context.

Asterion runs cross-domain models against your own operational data — not generic benchmarks. Every model has an auditable explanation. Every prediction carries a confidence score. Every recommendation flows to a workflow that can act on it.

ReliCore

Weibull failure modelling, MTBF prediction, RCM strategy recommendation — calibrated to your duty cycles, failure history, and asset criticality.

LexSphere

NLP clause extraction, risk scoring, deviation analysis, and negotiation drift detection against your mandate — review cycles from days to minutes.

Inspecta

Risk-based inspection prioritisation, defect pattern recognition, and corrective-action ageing analysis across every asset class.

SHREQ360

Leading-indicator analytics from near-misses, permits, and audits. Incident root-cause patterns surfaced before they repeat.

ESG Beacon

Emission anomaly detection, disclosure gap analysis, and Scope 3 modelling — aligned to GRI, SASB, TCFD frameworks.

CrewOptix

Productivity-per-crew analytics, competency-gap detection, contractor-performance forecasting — output-based, not time-based.

WHAT INTELLIGENCE DELIVERS

Decisions ahead of events. Risk priced before it lands.

70%

Contract review compression

Days-to-minutes on initial clause review, risk scoring, and deviation flagging.

25%

Unplanned downtime reduction

Predictive, context-aware maintenance models applied across critical equipment.

5-15%

Predictive maintenance savings

Capex and opex saved through failure-mode prevention instead of reactive replacement.

Explainable model per decision

Every AI output is auditable — reasoning, confidence, and data lineage shown.

START HERE

Start with a data diagnostic.

Every Asterion intelligence engagement begins by auditing the data your operation already produces — its completeness, quality, and readiness for modelling. We identify the three or four domains where AI will deliver fastest measurable value. No model deployment until the data foundation is defensible.