
Availability
Predictive Maintenance
Catch degradation early, rank maintenance by what it costs you in throughput, and cut unplanned downtime before it hits OEE.

OEE improvement for precision manufacturers
We find the losses hiding inside your production data, then build the maintenance, scheduling, quality, and monitoring systems that close them. In 90 days, not two years.
Proven results
$2.4M
Annual Value
30-60d
Payback Period
5.3h
Recovered/72h
<1 sec
Solve Time
Core solutions
We turn the data you already collect into four focused systems: maintenance, planning, quality, and daily OEE management.

Availability
Catch degradation early, rank maintenance by what it costs you in throughput, and cut unplanned downtime before it hits OEE.

Performance
Find the bottlenecks, kill the micro-stops, and turn real operating constraints into schedules that recover throughput.

Quality
Flag quality anomalies, rank review work by risk, and tie defect patterns back to the process conditions that cause them.

Visibility
Give leaders and production teams one shared view of Availability, Performance, Quality, and the losses sitting behind them.
Proof of work
Each project spells out the context, the loss, the approach, the measured result, and the method behind it.

A maintenance prioritization system that used simulation to rank interventions by workshop-level capacity impact and quantify annual value.

A constraint optimization framework for production and resource planning, designed to resolve conflicts across maintenance, production, and quality activities.

An automated quality data review platform that clustered sensor traces and surfaced outliers so engineers could focus on abnormal patterns first.
Demos
Four walkthroughs built around the real problems on the floor: visibility, maintenance, scheduling, and quality review.
Engagement model
Every engagement answers four questions: Which loss? What's it worth? What fixes it? And how do we roll it out?
A deep read of your actual production data. We quantify the Six Big Losses, break OEE down by line and shift, and hand back a prioritized roadmap. This is the real diagnostic, not a 1-hour call, but two to three weeks of data forensics.
Investment
€14K - €27K
What it unlocks
Typically surfaces €2-6M in recoverable value
A focused OEE solution on one or two lines. Prove a 3-5 point gain before anyone talks about scaling. Fixed scope, validated on your data, deployed in 90 days.
Investment
€45K - €135K
What it unlocks
€135K pilot → €2-4M annual value, 15-30x in year one
Take the proven solution across 5-20 lines. MES/ERP integration, change management, and team training turn a pilot win into a sustained 5+ point OEE gain plant-wide.
Investment
€180K - €720K
What it unlocks
€720K investment → €10-20M value over three years
Models retrained as your processes evolve. New opportunities surfaced as the data changes. Advisory on what's coming next, so world-class OEE stays world-class.
Investment
Custom retainer
What it unlocks
Hold world-class OEE while competitors stall at 70-75%
Most clients start with Phase 2: the €45K-€135K pilot.
Prove a 3-5 point OEE improvement on one or two lines in 90 days, then scale with documented ROI, not a two-year transformation program.
Discuss a pilotNext step
A 60-minute call is enough to review the problem, the data you already have, and whether a diagnostic or a pilot is the right next step.