An operating brain for every plant.
Praxilon connects production, quality, maintenance, inventory and procurement into one living model of your plants then deploys agents that catch problems early, find root causes in minutes and predict what will hit output next.
Why plants still run on yesterday's numbers.
Siloed plant data
Production, quality and maintenance live in separate systems and spreadsheets, so nobody sees the whole line.
Root causes take days
Finding why scrap or downtime rose means pulling logs from three teams by hand.
No early warning
Breakdowns, supplier delays and quality drifts are found after they've cost output.
Praxilon understands how your plant actually fits together.
Because every batch is linked to its machine, shift, material and supplier, Praxilon can trace any defect back to its cause and see the next one coming.
See how one question becomes a traced, evidence-backed answer
What the agents do in your plant.
Predictive maintenance
Forecast failures from runtime, vibration and maintenance history, and schedule work before breakdowns.
Quality and scrap intelligence
Detect drift early and trace defects to machine, shift, material or supplier.
Production and OEE
Track losses by line and shift and explain every gap to plan.
Supplier and inventory risk
Predict late deliveries and shortages before they stop a line.
Dispatch plan assurance
See which orders are at risk of missing their date, and why.
After-sales and warranty
Link field failures back to the batches, machines and suppliers behind them.
One brain. Different answers for every role.
What will stop us hitting this week's output?
Two risks: Press PM-07 overdue for maintenance and a likely 3-day delay from Supplier B on resin. Together they put 1,400 units at risk.
The numbers manufacturing leaders hold us to.
OEE
Expose availability, performance and quality losses by line and shift.
Scrap and rework
Trace defects to their source and prioritise corrective actions.
Unplanned downtime
Flag failure risk early and guide preventive maintenance.
Supplier on-time delivery
Surface delivery risks before they interrupt production.
Inventory days
Connect stock cover to demand, supplier risk and production plans.
Why has rejection increased on Line 3 over the last 30 days?
- “Why has rejection increased on Line 3 over the last 30 days?”
- “Which machines are most likely to affect output this week?”
- “Which suppliers are delaying deliveries?”
Give your operations a brain.
Start with one plant, one region or one painful question. We'll connect the data, build the ontology and show you answers in weeks, not quarters.