IBM

Intelligent Benchmarking
Will this machine actually deliver?

The brochures show ideal conditions. Your plant floor is not ideal. Before you sign a million-euro 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 can't perform on your plant floor, the operation fails. 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. Million-euro investments made without testing environmental robustness. You're betting, not evaluating.

▸ The human gap. If your team can't 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.

01 — Accuracy Can it see clearly? Can the machine separate signal from noise? Does it detect what it should detect, and ignore what it should ignore? "Does it see clearly?"

02 — Precision Does it stay consistent? Can it maintain performance over time without parameter changes? Or does it drift the moment conditions shift? "Does it stay consistent?"

03 — Robustness Does it survive your floor? Can it maintain results when environmental conditions change? Dust, light, vibration, temperature — the real world. "Does it survive your floor?"

04 — Assimilation Can your team run it? How easily can your operators — not the supplier's experts — adjust the machine to peak performance levels? "Can your team really operate it?"

How we do it

From the brochure to your plant floor.

Phase I — The Baseline We define the ideal operating point based on the risk of the high-volume product. Defect leak rates, false rejection rates: the real starting line.

Phase II — The Set Point Accuracy, precision, and F1 score validation under expert conditions. Interaction charts, blind spot identification: what does this machine actually do at its best?

Phase III — Robustness & Stress Testing Structured environmental sensitivity tests. We push the machine under your real conditions, not in the lab. If it fails here, you know before paying.

Phase IV — Assimilation We measure 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 objectives. No more choosing based on price alone or supplier promises.

100% ROI Security Drift and waste risks eliminated before delivery. The investment is validated before the money leaves your account.

Operator-Ready SOP A "Principle 555" 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 verified 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 dependency amplified lighting errors by 25%, making the €10M asset useless under real floor conditions.

The assimilation gap Machines adjusted by supplier experts achieved 84.62% accuracy — not 100% as in the brochure. Performance dropped 12% when plant operators took control. 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.

Intelligent BenchmarkingWill this machine actually deliver?