Manufacturing intelligence for automotive, FMCG, pharma, and discrete manufacturing. Predictive quality control. OEE optimisation. Demand-aware scheduling. Supplier risk monitoring. Built for production lines that can't afford downtime.
FLUX delivers predictive quality control, OEE optimisation, demand-aware scheduling, and supplier risk monitoring — every output traced through audit-grade lineage.
Vision-AI and sensor fusion for real-time defect detection — flags anomalies before they propagate down the production line. SPC built in.
Overall Equipment Effectiveness modelling with predictive maintenance scheduling — powered by ROAM telematics intelligence and FLUX line telemetry.
Production scheduling using ZYNC retail signals and GAIA agri-input forecasts to minimise changeover waste and align production with downstream demand.
Non-classified signals flow from FLUX to sibling models — enabling cross-domain intelligence that no single-domain AI can produce.
Production capacity signals · equipment health alerts · raw material demand · quality defect patterns · worker safety incidents · supplier risk flags
Sensor fusion across vision systems, IoT, MES, and ERP. Every machine, every shift, every part — modelled into a unified factory intelligence layer.
FLUX models Overall Equipment Effectiveness continuously — flagging availability, performance, and quality drift before they cascade into shift losses.
FLUX maps defect origins across the production line at workstation level, flagging upstream root causes that propagate to downstream stations.
FLUX detects emerging supplier risk signals from delivery patterns, quality data, and ROAM logistics intelligence.
FLUX receives anonymised cross-domain signals — retail demand from ZYNC for production scheduling, logistics conditions from ROAM for inbound supply, agri-input forecasts from GAIA for food/beverage processing, supplier financial risk from VYDE, and worker safety incidents from SAGE.
Real-time quality gates and predictive maintenance for assembly lines — defect rate reduction and unplanned downtime prevention.
Quality control with GAIA ingredient traceability and ZYNC demand signals — closed-loop production scheduling.
GMP compliance monitoring with NOVA pharmacovigilance signal integration and LEXQ regulatory mapping.
Defect classification and yield optimisation for SMT lines, semiconductor packaging, and high-precision assembly.
Request a demo tailored to your specific manufacturing deployment — we'll walk you through the model, KCL integration, and onboarding timeline.