FLUX is the AI that helps factories catch quality problems before they leave the line, keep machines running at the right speed, and make the right thing at the right time — built around the simple truth that downtime never happens at the rollup level.
A quick read of what FLUX actually does, how it behaves, and how it fits in. The rest of the page goes deeper.
A plant-wide dashboard doesn’t catch a defect on line 3 at 11:42. FLUX works at exactly that grain — the line, the cell, the shift, the cycle — and re-plans live as the day unfolds.
Combines the old-school statistics every factory uses with machine vision and sensor data — ultrasonic, thermal, vibration. Flags an emerging defect within cycles, traces it back to the process step that caused it, and suggests a fix before the scrap pile grows.
OEE breaks down to availability, speed, and quality — but the number on the wall hides where the loss really sits. FLUX decomposes the loss to a particular line, cell, shift, SKU, even operator. The next intervention is the one that actually moves the metric, not the easy one.
A demand-aware schedule that respects what the machines can actually do, what the changeover will cost, what materials have arrived, who’s certified to run that line, and when energy is cheapest. Re-plans hourly when reality shifts — not next planning cycle.
Eight hours, three lines, a thousand cycles. Here’s what one real shift looks like — the moments when something happens, what FLUX does about it, and which sibling AI it talks to along the way.
Retail forecast updated overnight
The retail AI’s overnight pickup tells FLUX two SKUs are running thin on shelves by tomorrow. The shift schedule re-sequences before the first cycle to prioritise those lines.
Raw material lorry stuck at customs
The logistics AI flags a 4-hour delay on inbound resin. FLUX swaps line 03 to a different SKU using stock on hand — downtime avoided, no idle operators.
Defect pattern emerging on line 02
Vision system catches a recurring micro-flaw. FLUX traces the root cause to a worn fixture, and pushes the batch alert to the pharma AI — the affected lot is quarantined before it reaches the customer.
Energy tariff drops for the next 90 minutes
The finance AI tells FLUX about a low-tariff window. Energy-intensive operations get pulled forward into that window — same output, lower bill.
A near-miss reported on the floor
An operator logs a near-miss. FLUX classifies it against ISO 45001, attaches the line context, and pushes the evidence to the legal AI. The audit trail is built up automatically — no separate paperwork after the shift.
A hospital ward is short on critical supply
The healthcare AI flags an urgent shortage. FLUX shifts the medical-grade line to the front of the queue. Patient need beats batch efficiency — the trade-off is logged for the next ops review.
Tomorrow’s production plan locks
FLUX publishes the next 24-hour run plan to the retail AI. Stores see what’s actually being made for them — not just what was promised in the quarterly forecast.
Three pallets ready for the dispatch dock
FLUX tells the logistics AI exactly when each pallet will be packed. Trucks arrive when product is ready — not before, not late. Loading docks stay smooth, drivers don’t wait.
Production decisions don’t live in monthly planning meetings. An operator changes a setting, an engineer chases a defect, a planner re-sequences the next shift. FLUX works at exactly that level — not a plant rollup.
Statistical quality control combined with machine vision and a stack of physical sensors — ultrasonic, thermal, vibration, eddy-current. When a defect pattern emerges, FLUX flags it in cycles, not at the end of the shift, and traces back through the process to find what caused it.
A plant-wide OEE number hides the real problem. FLUX breaks the loss down by line, by cell, by shift, by SKU, even by operator — so the team works on the bottleneck that’s actually moving the metric, not the one that’s easiest to fix.
Demand changes, supplies are late, an operator calls in sick, energy gets cheaper after lunch. FLUX re-builds the production schedule in real time around what’s actually possible — respecting machine, material, labour and energy constraints.
ISO 9001 (quality), 14001 (environment), 27001 (information security), 45001 (safety) — each has its own paperwork. FLUX records the evidence as the work happens, classifies safety incidents, tracks environmental impact. The audit becomes a review of what was already captured, not a scramble.
Demand forecasts from retail, supply ETAs from logistics, raw-material seasons from agriculture, energy and commodity prices from finance, rule changes from the legal AI — FLUX’s schedule sharpens because the network is wider than any one factory.
A contract manufacturer might run lines for competing brands. Each one’s data has to stay strictly its own — no leakage, even by accident. FLUX enforces that separation in the architecture itself, with explicit controls for what gets shared and what doesn’t.
Plant managers, quality engineers, production planners, maintenance, EHS, sustainability. Anyone whose work is measured in cycles, OEE points, defect rates, and audit findings.
Live OEE on every line, balancing the load across cells, reviewing each shift, chasing the root cause when something goes wrong. For plant managers who run the day by the hour, not by the quarter.
Process-control charts, batch-release support, deviation tracking, CAPA effectiveness, validation paperwork. For quality engineers under regulatory audit pressure who’d rather catch the issue at the line than answer for it later.
A thousand SKUs across multiple lines, finite capacity, awkward changeovers, late deliveries from suppliers — FLUX builds a sequence that actually fits reality. For planners who’d rather re-plan once an hour than blow up the whole schedule once a day.
Predictive maintenance scheduled before the failure, failure-mode analysis on the long tail, mean-time-between-failures tracked per asset, parts ordered before they’re needed. For reliability engineers who keep the plant running by knowing what’s about to break.
ISO audit support, safety incidents logged and classified, near-miss reports captured at the source, environmental compliance, regulatory submissions. For EHS leaders running 8+ certifications at once who need the evidence ready, not assembled at deadline.
Carbon accounting across the three scopes, energy and water tracked at line level, waste streams analysed, suppliers scored on sustainability. For ESG teams whose disclosures now get audited as carefully as the financials, with the same consequences if the numbers don’t add up.
A defect caught before the next cycle, a schedule that survives Monday morning, an audit trail built up as the work happens. Same hub, same isolation, every cycle recorded.