Software that understands
your operation.

Most industrial AI projects don't fail because of the model. They fail because nobody built the layer that connects the data to the system.

Equipment, sensors and systems you already have running

The orchestration layer that reads, normalises and exposes the reading

Your standard and your procedure, not a vendor template

Inside your network — the processing happens in your plant

Your manager. The agent prepares and proposes

An unplanned stoppage is detected when the line has already stopped. You know the cost per hour better than anyone — we go after the hours.

Vibration, temperature, current draw and operating hours

Mechanical degradation: bearings, misalignment, imbalance

Electrical anomalies such as phase imbalance or overconsumption

The applicable standard and that equipment's own history

Early warning instead of reacting after the stoppage

The spare part is ordered in time instead of paid for as an emergency

Production is logged by hand and reviewed once the shift is already over. By the time the report reaches the meeting, it is no longer useful for acting.

Sensors, vision systems or straight to the PLC

Part count, cycle time, stoppages and stoppage cause

Load split across lines using real capacity, not an estimate

Production and inventory planning

Live information instead of an end-of-shift report

Re-entry is eliminated; OEE stops being a guess

Visual inspection depends on the time of day and on who is at the station. Whatever slips through reaches the customer.

Every part at line speed, without slowing the process

Model trained on your parts and your real defects

Yours, not the one the equipment ships with

Consolidates the shift's data and leaves the findings ready

The night shift is covered with the same criteria as the morning shift

Defect linked to shift, part number and raw-material batch

The compliance evidence already exists, but it is scattered across folders, photos and forms that nobody can find when the auditor arrives.

Data that must meet a standard and validity dates about to expire

Project progress tracked from deliverable dates

Compares the evidence against your regulations using document retrieval

Your procedure loaded, not a generic template

Prioritised findings with an owner and committed date

The file is built as the month goes on, not in the week before

A complaint with a batch number triggers a manual search across systems that don't talk to each other. And the physical inventory count stops the warehouse.

Sensors, GPS, NFC and RFID, whichever suits the process

History per part: material, machine, shift, operator and inspection

Where the material is and since when, without walking the plant

Cyclical and continuous, without stopping the operation

Determines which other parts share the same origin

Inventory reflects the floor, not the last manual entry