Intelligent Benchmarking
Will this machine actually deliver?
Brochures show ideal conditions. Your plant floor is not ideal. Before you sign a multi-million purchase order, we test the reality. For engineering, CAPEX decisions, and industrial leaders
The brochure trap
You're not buying a machine. You're buying a promise.
A machine is like a surgical scalpel — if it cannot perform on your plant floor, the operation fails. And most benchmarks only test under ideal conditions.
Unmeasured noise. Dust, reflections, vibrations — the stuff that exists on every real plant floor but never shows up in the supplier's demo.
Blind capital. Multi-million investments made without testing environmental robustness. You're gambling, not benchmarking.
The human gap. If your team cannot assimilate the setup, performance drops the moment the supplier's expert leaves.
The IBM framework
Four legs. All four must hold.
Traditional benchmarking focuses on accuracy and precision. A successful investment requires all four dimensions.
Dimension 1
Accuracy
Can the machine separate signal from noise? Does it detect what it should detect, and ignore what it should ignore?
"Does it see clearly?"
Dimension 2
Precision
Can it maintain performance over time without parameter changes? Or does it drift the moment conditions shift?
"Does it stay consistent?"
Dimension 3
Robustness
Can it maintain results when environmental conditions change? Dust, light, vibration, temperature — the real world.
"Does it survive your floor?"
Dimension 4
Assimilation
How easily can your operators — not the supplier's experts — adjust the machine to peak performance levels?
"Can your team actually run it?"
How we do it
From the brochure to your plant floor.
Phase I: The Baseline
We define the ideal operating point based on your high-turnover product risk. Defect leakage rates, false rejection rates — the real starting line.
Phase II: The Set Point
Validating accuracy, precision, and F1 score under expert conditions. Interaction plots, blindness identification — what does this machine actually do at its best?
Phase III: Robustness & Stress
Testing environmental sensitivity via structured stress tests. We push the machine under your real conditions — not the lab. If it breaks here, you know before you pay.
Phase IV: Assimilation
Measuring human-machine noise and procedure effectiveness. Can your operators reach expert-level performance? If not, we build the bridge — a procedure so clear anyone can follow it.
What you get
A validated reality, not a brochure.
You don't get a report of advice. You get a clear answer: does this machine justify the investment or not?
Zero Blind Buying
Technical conclusions anchored to your organizational goals. No more choosing based on price alone or supplier promises.
100% ROI Security
Slippage and waste risks eliminated before delivery. The investment is validated before the money leaves your account.
Operator-Ready SOP
A "555 Principle" procedure — 5 steps, simple enough for anyone, executable in 5 minutes. Your team maintains expert-level performance without the expert.
Simulated scenario
The "Hidden Cost"
A company purchased 5 high-end inspection units for €10M. Traditional benchmarking checked accuracy and price. Everything looked perfect on paper.
The robustness gap
Stress tests revealed that critical defect detection suffered a 100% drop with simple brightness variations (±15%). High optical dependence amplified lighting errors by 25%, rendering the €10M asset useless under real plant floor conditions.
The assimilation gap
Machines adjusted by supplier experts reached 84.62% accuracy — not 100% as on the brochure. Performance dropped by 12% when plant operators took over. The gap wasn't just technical noise — it was a knowledge management failure.
€10M asset investment at risk. €1M direct scrap cost. The brochure never mentioned any of this.