Built for whoever answers for the plant.

You answer for output and cost across every line and shift, but the losses hide until they land in the numbers.

• OEE split into availability, performance, and quality, with the losses named.
• The next failure or defect flagged before the shift feels it.
• Every line and site reconciled into one live view, not a stack of reports.

Fix-on-failure quietly eats capacity, and condition monitoring catches only the simple failures.

• Bearings, motors, and pumps flagged days before they seize, from vibration and current.
• Each prediction lands in Maximo as a costed, ranked work order.
• The fix scheduled into a planned stop, not an overtime scramble.

Scrap and rework stay invisible until the end of the line, and the reason walks out with your veterans.

• In-process drift caught at the station, not at end-of-line inspection.
• Root cause traced across recipe, machine state, material lot, and operator.
• Batch review and deviations drafted with the evidence attached, ready for audit.

Scope targets are set upstairs, with nothing to steer them by down on the floor.

• kWh per unit modeled live for each line and product.
• Non-critical load shifted and peak demand staged before the tariff bills.
• Scope 1 and 2 built from real meter data, not a quarterly spreadsheet.

You have buried AI pilots that never reached production, and you gate on integration, security, and control.

• Reads and writes through OPC UA, MQTT, and your historians. No migration.
• Every agent action gated by policy, approved by a person, and logged to a tamper-evident trail.
• Runs at the edge, in your cloud, or fully air-gapped, on Kubernetes.

The board reads last month while the plant lives right now.

• OEE, downtime, energy, and cost across every site, current to the shift.
• Every number traced back to the signal it came from.
• A forward view of risk, not last month’s summary.