Industry challenges we solve
Most plants do not lack data. They lack data that arrives on time, in one place, in a form a supervisor can act on during the shift rather than in next month's report.
OEE calculated in a spreadsheet. Downtime reasons are typed in at the end of the shift, from memory. By the time anyone sees the number, the shift that caused it has gone home and the root cause is a guess.
Machines that speak five protocols. A newer line on OPC UA, an older one on Modbus, a few machines with no network at all. Every integration project starts with weeks of discovery that nobody budgeted for.
ERP that does not know what the floor did. Production orders are confirmed in the ERP hours after the work finished, so inventory, costing and promise dates are all wrong in the same direction.
Paper travellers and clipboard quality checks. When a customer reports a defect, tracing which batch, machine, operator and material lot was involved takes days of searching through paper and email.
Maintenance that is either too early or too late. Calendar based servicing replaces healthy parts, while the asset that actually fails gives warning signs in vibration and temperature data nobody is watching.
Pilots that never leave the pilot line. An IIoT or AI proof of concept works on one machine, then stalls because it was never designed for security review, scale or the plant's own IT team to run.