SOLUTIONS · Applied AI
Visual inspection, anomaly detection, forecasting — deployed only where a measurable baseline exists and a model can beat it. Piloted against a written number before anything scales.
WHAT IT IS
AI only where the math pays for itself — inspection, maintenance, forecasting — piloted against a baseline before anything scales.
AI in a factory is not magic; it is statistics with discipline. We deploy it where a measurable baseline exists and a model can beat it: catching visual defects before packing, hearing the early signature of a failing bearing, forecasting demand and material needs. Every deployment starts as a pilot with an agreed baseline — if the model cannot beat it, we say so and stop.
PAIN → RELIEF
Defects found at final inspection — or by the customer
Camera and model catch the defect class at the station, minutes after it happens
The critical machine fails before shipment day
Anomaly detection flags the failure signature weeks early
Forecasts are someone’s educated guess
The model beats a written baseline — or we say so and stop
WHAT YOU GET
A DAY ON THE FLOOR
The vision station flags drift within minutes — not at end-of-line QC, when a hundred boards are already at risk.
Maintenance is scheduled between orders — not on shipment day, at double cost.
Model accuracy versus baseline is on the record: keep it, fix it, or stop it.
HOW WE DEPLOY
Data volume, labels and baseline check — sometimes the answer is “not yet”, and we say it free of charge.
One defect class or one asset, written success metric, weekly reading of the honest numbers.
Only pilots with beaten baselines scale — to more lines, more classes, more assets.
THE HONEST PART
THE HONEST PART
Sometimes the honest answer is “not yet” — the data volume or labels are missing. We will say it, and tell you exactly what to start collecting this quarter.
What it moves
WHERE THIS PAYS OFF
Audit-ready traceability. Freshness protected by the system.
Issue Map · Standards · Typical Solutions · Quick Wins 02 · ELECTRONICS · Electrical & ElectronicsSerial-level truth on lines that never stop.
Problem map · Standards · Typical stack · Quick wins 03 · AUTOMOTIVE · Automotive PartsIATF-grade discipline, engineered into the daily routine.
Problem map · Standards · Typical stack · Quick winsRule of thumb for vision: several hundred real examples per defect class. The feasibility check tells you in week one whether you are there.
No — it removes the boring pass. People judge exceptions, handle what machines cannot, and teach the model what it missed.
Yes — common for our Japanese clients. Images and models stay inside your plant; nothing leaves without permission.
The pilot had a written baseline and a stop clause. If the model cannot beat the baseline, we stop the pilot, as agreed in the pilot terms.
60 minutes, at your factory or online. You receive our notes and a prioritized improvement map — free, with no obligation.