A living memory of your factory's rules and decisions.
Every factory has rules that you will not find in any manual. They live in the planner's head, in old Excel comments and in what gets said at meetings. When that person is on holiday, so are the rules. When they leave, the rules leave with them.
The knowledge base gathers these rules from the places where they come about: meeting recordings, emails, changes in the system and everyday corrections. Nobody has to document anything separately, because the knowledge is collected as the work gets done. Every rule is given a source and a validity period, so you can always see when and why it changed. And when the system does not know the answer, it asks instead of guessing.
You can use it through the AI tool you already work with, so there is no separate program to learn. A new person asks instead of searching. And when the written instructions and the factory's actual practice drift apart, it comes to light.
A plan that changes with the day.
In most factories the plan is put together in some piece of software or in Excel, and then real life starts changing it. A rush order cuts in, someone falls ill, a delivery is late. Every change means redoing the plan, redoing it takes hours, and the answers to sales come late. One production manager told us that just drawing up the monthly plan took 2-3 full working days, and redoing it took up a very large share of their working time.
With growthOn, orders go into the system straight from the inbox, without anyone having to enter them a second time. The system knows your work centres, set-up times, people's skills and your own rules, for example how many frames a week the CNC can really get through. The weekly plan is built according to these rules, and every change reaches the operators' screens straight away, rather than ending up on paper or waiting for the morning meeting.
When the plan changes, sales can see immediately where a new order fits and what it means for the other orders. That way you can answer the customer before they call the next supplier.
A live overview of where production stands.
When work orders move around on paper and workers report into Excel at the end of the day, nobody knows during the day where anything is. The answer only comes out in the evening, when nothing can be changed any more.
In the growthOn work station view, operators see their work for the day and mark the start, pauses and completion themselves. If a job is left unfinished, the reason is recorded, and the system learns from that as well. At one window factory, 13 of these views are in use every day, from preparation to packing, on dust-proof workstations with QR scanners and label printers.
The system understands different kinds of stoppage and acts accordingly. For example, scrap and a fault are separate concepts. Marking something as scrap triggers an order for replacement material within the same week, instead of waiting for someone to notice the shortfall.
Works with your systems, not instead of them.
No company replaces its accounting software or ERP just so that things are a little more convenient afterwards. That is why we do not offer you a big new system. Instead, we connect to what already works for you: ERP, accounting, Excel, email, machines.
Orders come from the inbox straight into the system. Machines with a network interface report their own status: at one factory the planer is connected so that stoppages and faults are visible on the manager's screen and can be searched in the history. For older machines, an intermediate layer can be built in front of the machine to receive the requests, without having to connect the machine itself to the network.
The software can run on your own server. For the AI model we use Mistral, a European company. Every AI agent has a narrow task and can be traced: if an error appears somewhere, you can see which agent made it and with which settings, and fix exactly that spot.
