Every quote is one of a kind. Every calculation costs hours. We automate quoting processes, technical documentation and quality reports, integrated into your existing IT, with no parallel systems.
Five time sinks that every mid-sized machine builder knows.
Every inquiry has customer-specific requirements. The calculation drags on for days, back and forth between engineering, procurement and sales. The end result is a quote that took weeks.
Operating manuals, CE conformity, maintenance documentation, often in three languages. Manually copied together from previous projects and adapted by hand.
Every technical change has to be translated. Agencies take weeks, online tools get technical terms wrong.
Analyzing complaint causes, writing reports, informing customers, each one drafted by hand. Pattern recognition across multiple cases barely happens.
Procurement plans on gut feeling and Excel history. The result: either tied-up capital in the warehouse or supply shortages when lead times are long.
Going through bills of quantities with 200+ line items by hand, extracting the relevant points, evaluating them. Several working days per tender.
A customer inquiry comes in by email or PDF, the AI reads the specifications, matches them against your master database, and produces a calculation draft with line items, prices and lead time. Sales reviews and sends.
Bills of quantities from public tenders or industrial customer orders are structured automatically, relevant line items are flagged, and deviations from your standard portfolio are detected.
Operating manuals, assembly instructions and maintenance documents are generated from master data and CAD models, multilingual, with versioning and CE conformity notes.
Technical documents are translated into target languages using your company-specific terminology. No mistranslated technical terms.
Customer complaints are categorized automatically and analyzed for recurring patterns. You can see where a systematic problem exists, not just isolated cases.
Historical order patterns, current order book and seasonality feed into an automatic forecast for procurement. Less tied-up capital, fewer shortages.
Service technicians dictate reports right on site, the AI structures them, fills in mandatory fields, and produces customer-ready PDFs.
Delivery date inquiries, invoice queries, status updates to customers, generated automatically from your ERP and presented for approval.
A supplier in machine-tool manufacturing producing customer-specific solutions. Before the project: every quote cost an average of 6 hours of sales time plus 4 hours of engineering time. At 40 quotes per month, that added up to 400 hours of pure quoting effort, and the hit rate was 18%.
After the rollout: the AI reads incoming inquiries, pulls data from SAP and the existing SolidWorks models, and produces a calculation draft. Sales reviews and completes it, averaging 45 minutes per quote. The engineering time is eliminated for 70% of inquiries, because they are variants of modules that have already been calculated.
Integrated into your existing systems, not another tool sitting alongside them.
We don't sell anything we haven't built ourselves: our own AI apps in the App Store, a voice agent and fully automated customer acquisition running in daily use.
See all projects & referencesWe analyze your quoting and documentation processes, together with engineering, sales and procurement. A concrete list: what pays off, and what to do first.
We build the solution to fit your ERP, CAD and data model. Pilot live in weeks, not months.
After go-live we stay on board. Monitoring, adjustments, training for your team.
Two days on site with your departments. A clear list of the biggest levers.
One concrete use case (e.g. a quoting assistant) live in 4-6 weeks.
Connecting to SAP, CAD and existing data, no parallel worlds.
Rolling out further use cases from your priority list.
By the end you'll know whether AI automation pays off for your mechanical engineering business, and if so, where the best entry point is.
We'll be in touch within 24 hours.