Drawing set to bill of materials
Reads an inquiry's drawings, proposes the bill of materials against the client's item master and hands a costed draft to the estimator.
Your engineers design the machines. AI does the routine.
Quoting, design, planning, quality and service all wait for the same few engineers. We build AI systems that do the routine part of that work for them. The decisions stay with people.
Fig. 01 – Machinery & equipmentWho this is for
- Special-purpose machinesSingle units and small series, engineered to a customer specification.
- Machine tools & CNC equipmentConfigurable products with long option lists and many variants.
- Lines & automationIntegrators assembling cells and lines from bought-in components.
- Handling & process equipmentConveying, filling and packaging equipment built to order.
What's changing
What machine builders are dealing with.
The pressures we hear in every conversation, whether the company builds one machine a year or two hundred.
- 01
Every order is an engineering project
Variants multiply faster than standards. Quoting, design and planning restart with each inquiry, and margin depends on who did the costing.
- 02
Customers ask about delivery before price
Customers compare delivery dates before price. The queue for engineering hours decides both, and hiring more engineers is no longer an option.
- 03
Experienced people leave, and the know-how goes with them
Routings, costing rules and supplier judgement live with people who are close to leaving. Little of it exists in a form a system could use.
- 04
You have the data, nobody uses it
Drawings, past quotes, ERP history and machine data are all there – spread across systems that were never meant to answer questions together.
Across the value chain
From the first inquiry to the installed base.
We work wherever the data already exists. Most clients start at one stage and extend once it pays for itself.
- 01
Sales & quotation
Turning an inquiry into a costed offer without waiting for the engineering queue.
- Drawing and spec extraction
- Bills of materials from drawing sets
- Costing from comparable past jobs
- 02
Engineering & design
Reusing what has been designed before instead of starting from a blank sheet.
- Similar-part search across projects
- Configuration and variant rules
- Technical documentation drafts
- 03
Planning & production
Plans that account for real capacity, material and the changes that arrive mid-build.
- Routing proposals
- Capacity and scheduling
- Purchasing and material timing
- 04
Quality & test
Catching defects at the station where they are made, not at final assembly.
- Visual inspection
- Test data analysis
- Traceability across a build
- 05
Service & aftersales
Turning installed-base data and service history into a margin, not a cost.
- Spare-part prediction
- Service documentation and search
- Failure pattern analysis
Selected systems
What we build for machine builders.
Sales & quotation Engineering & design AI-Konstruktér: from a description to drawings
Describe the part or assembly and get the 3D model, the drawings and the bill of materials, ready for an engineer to check and finish.
Planning & production Production planner on live capacity
Schedules built from real machine load and material availability, updated when the day changes.
Purchasing & supply AI purchasing agent on the ERP
Works out what to buy from the ERP, asks suppliers, reads their quotes and prepares the order. A buyer sends it.
Quality & test Vision inspection on the line
Camera and model at the station, flagging defects as parts are made rather than at final check.
AI-Technolog and AI-Konstruktér are built into the systems we deliver for machine builders.
Contact
Tell us the problem. We'll tell you if AI is the answer.
Thirty minutes with a founder. No pitch – a conversation about your process, your data and whether a system would pay for itself.
Or reach us directly
- Matyáš ProkopiusCo-founder
- Adam BulkaCo-founder