Optimize decision making on predictions, anomalies, and production
CVector dollar-ranks the anomalies and predictions associated with each asset and tracks operator decisions so plant expertise is captured and compounds with each shift.
Asset health decisions ranked by margin impact
Dollar-ranked recommendations focus attention on top priorities.
CVector analyzes asset data in the context of operational and economic criteria so what is raised first as recommendations to operators are the issues that matter most.
Comprehensive analysis of direct and indirect margin impact.
CVector calculates margin impact broadly to include downstream, maintenance, and restart implications, so the full cost of asset failure in the context of operations.
Operator knowledge that compounds, not retires.
CVector captures as input every accepted, rejected, and adjusted recommendation so expertise builds in the system rather than leaves when the shift changes.
Measurable impact across quality, downtime, and operator decisions.
Recommendations are dollar-ranked, so operators see which alert to act on first.
Continuous analysis for asset operating decisions.
CVector connects to existing controls and plant applications, contextualizing asset behavior with operating constraints and economic exposure.
Plant-specific constraint context
Recommendations are in the context of operating constraints, feedstock quality, and economic exposure specific to the plant
Root-cause identification
Root causes are identified and analyzed to calculate related costs before dollar-ranked recommendations are routed to the operator.
Expected-behavior modeling
CVector identifies which missing sensor signals would materially improve detection or control, helping teams avoid unnecessary instrumentation.
Operators remain in control
Every recommendation is accepted, rejected, or adjusted by the operators so CVector captures plant priorities and operator expertise over time.
Built in partnership with industrial leaders.
Asset issues, dollar-ranked by margin at risk
Best fit for plants with alert fatigue, repeated equipment failures, quality drift, or missing sensor signals that impede operations and maintenance effort.
Chemicals & Industrial Gases
Fouled or underperforming units ranked by efficiency loss, downtime risk, and production impact.
Dispatchable Power
Heat-rate degradation, fouling, metering drift, and restart-sequence anomalies ranked against dispatch margin.
Metals & Foundries
Scrap, thermal, and efficiency issues caught mid-batch and routed to diversion, with quality outcomes predicted in real time.
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