Platform Optimize
Module · Performance

Turn process data into better runs.

Industrial process optimisation using data and AI — find the losses, predict the failures, and give operators the next best action while the line is still running.

What it covers

Performance, energy, waste — measured and improved.

Production performance analysis
Throughput, OEE and line performance analysed across shifts, products and machines.
Energy & resource optimisation
Energy per unit and resource use surfaced and reduced against real production context.
Waste, scrap & yield reduction
Scrap and yield modelled to their drivers so the costly variation gets attacked first.
Predictive maintenance
Failure signatures spotted early — maintenance planned before the line goes down.
Process anomaly & quality prediction
Anomalies flagged in real time, and quality predicted from machine and process signals.
Operator decision support
Clear, in-context recommendations for the next best action at the machine.
Signal

The losses you can’t see by shift report.

Optimize joins machine, process and quality data to show where performance, energy and yield are actually leaking — and what to do about it.

Baselines per product, line and shift
Predicted failures ranked by impact
Quality predicted before the lab confirms it
optimize · line 4Live
87.4%
OEE — line 4
-12%
Energy / tonne vs base
1.8%
Scrap rate (7d)
3
Predicted maint. flags
Outcomes

Where the value lands.

01
Fewer unplanned stops
Predictive flags move maintenance from reactive to scheduled.
02
Lower cost per unit
Energy and scrap reductions compound across every run.
03
Right action, sooner
Operators act on the anomaly during the run, not after the reject.
One platform

Explore the rest of the suite.

Book a demo

See KlearCtrl on your own factory.

A 30-minute walkthrough mapped to how your teams work today — no production data required.

No production data required · Hosted or on-prem