Metalworking
Defect detection on the conveyor
A camera above the line plus a vision model. The system flags defective parts and builds scrap statistics per shift and per machine. You see exactly where money is being lost.
AI integrator for industry & business · EU & Ukraine
We deploy computer vision, predictive analytics and LLM assistants into real operations: factories, warehouses, logistics, service companies. From audit to a working system on your site. On-premise. GDPR-compliant.
MOD.01 · Services
We take processes where people do repetitive work with their eyes and hands, on the shop floor or in the back office, and hand it over to models supervised by your own specialists.
Computer vision detects defects in paint, welds and geometry directly on the line. Faster and more consistent than visual inspection.
Models trained on sensor data predict equipment failure before it happens: planned service instead of emergency downtime.
Automated parsing of invoices, delivery notes, process sheets and correspondence. An assistant that answers from your own norms and SOPs.
Line-load optimisation, batch sizing and stock calculation: algorithms instead of spreadsheets and gut feeling.
AI handling of incoming requests, tenders and claims: classification, routing, draft replies.
We train your staff to operate the system and keep improving the models as your data grows.
MOD.02 · Process
We stay with you at every stage: audit, pilot, rollout and daily operations. Each stage is a separate contract with a fixed price and a clear deliverable, and you can stop after any of them.
We study your processes on site and find the spots where AI pays back fastest. Deliverable: a report with a business case in euros.
1–2 WEEKSA working prototype on one line section, trained on your data. Deliverable: measured before/after numbers.
4–6 WEEKSIntegration with your equipment and systems (ERP, SCADA, MES) and transfer to production operation.
FROM 1 MONTHModel quality monitoring, retraining, user support and continuous development of the system.
SUBSCRIPTIONMOD.03 · Use cases
Typical first projects solved with proven methods: the fastest route to a first measurable result.
A camera above the line plus a vision model. The system flags defective parts and builds scrap statistics per shift and per machine. You see exactly where money is being lost.
A model built on sales history and seasonality computes optimal production volumes. Less expired write-off, fewer lost sales from empty stock.
Vision models count stock, monitor loading docks and catch picking errors before shipment. Fewer misshipments, a live warehouse status without manual counting.
An assistant transcribes calls and meetings, fills forms and routes requests; staff time goes to clients, not keyboards. Runs on-premise, records stay inside the organisation.
An LLM trained on your SOPs, process sheets and manuals. A new employee asks the assistant instead of interrupting the process engineer. Runs on-premise, documents never leave the plant.
MOD.04 · Pricing
Prices are indicative and depend on scope. We fix the exact cost after a short call.
MOD.05 · FAQ
Yes. Computer vision works with ordinary cameras, and document or planning projects require no changes on the line at all. We start with what delivers impact without upgrading your equipment.
Not if that matters to you. We deploy models on your own server: data never leaves the company perimeter. This is fixed in the contract and designed to be GDPR-compliant.
That is exactly what the audit is for: we calculate the impact in euros before the project starts and only take on cases where payback is realistic. If there is no profitable automation target, the report will say so honestly.
Yes. With on-premise deployment, records never leave your own server, which is exactly what sensitive data requires. We sign a DPA and follow GDPR; the legal basis for processing stays under your control.
No. We handle deployment and operations. What we need from you is one responsible person on the production side who knows the process.
MOD.06 · Contact
Describe your process in two sentences. We will suggest where to start and give a price range. We reply within one business day. English, Українська, Deutsch, Polski, Русский.