For manufacturing SMEs with 10 to 50 people. If today a complaint is rebuilt by hand, the audit costs days and station photos end up in an archive nobody looks at, the piece you are missing is not a new ERP: it is the one between the ERP and the shop floor.
One principle: the system flags, the person decides, and it stays on record who. Everything runs on your server, the code stays yours, and the first step is free: a written analysis of your case.
Every module comes from a problem seen on a real shop floor, not from a catalogue. Find yours.
Your problem
Inbound, batch, processing, tests and outbound in separate systems or on paper: at every check a piece is missing, and a defect has no history.
What you get
A MES built next to your ERP: QR labels on every batch or serial, structured defect events, product passport, statistics per station and per step. In production for waste and battery packs; in development for timber, metalworking, industrial mechanics, solar energy.
Your problem
Stations photograph every unit, but defects are found at end of line or by the customer.
What you get
Anomaly models trained on your good parts, a verification queue for quality control within a minute, coverage always stated. Everything runs inside the company. Study on 23,194 real photos.
Your problem
Supplier documents arrive as PDF or paper and are retyped by hand, with errors and hours lost.
What you get
Documents read automatically inside the management system, with human confirmation on what does not match.
Your problem
Production data is there, but answering "how many rejects did station 3 make last month" takes an export and an afternoon.
What you get
An assistant that answers on your production data and work instructions, with human confirmation, on your server.
If so, the free analysis tells you where to start and what it costs, in writing.
Your problem
Batches, tests and rejects in three different places; answering a customer takes two people half a day; ISO or IATF audits cost days.
What you get
MES and traceability next to the ERP you have: every batch with its history, from intake to processed material. In production at two companies.
Your problem
Stations photograph every unit, sensors record, but defects are found at end of line or by the customer.
What you get
AI visual inspection that flags only suspect photos to your quality manager, within a minute, without stopping production. It is in production on a battery pack line, built from a study on 23,194 real photos: at your plant it starts with a trial on your photos.
Your problem
Supplier documents arriving as PDF or paper and re-entered by hand, with errors and hours lost.
What you get
Automatic document reading inside the management system, with human confirmation on what does not match. Built on request, starting from modules already delivered.
Two lines are enough: what you do, how many technicians or people on the shop floor, where time is lost today.
You leave with a written list of where time and margin are lost, yours even if you stop there.
