See where your production loses time and money.
production.AI connects your machines, detects losses automatically and shows what pays off first. With figures you can verify.
Start with a few machinesVendor-independentOn-premises or European cloud
Prioritized recommendations
- Check machining center M-002: tool T-118 breaks under high spindle load (7×, €672).
- Stop part HB-1050: 18% scrap, 26× above normal.
- Cut waiting times: 118 h “waiting for material” (€14,477).
The data is there. The answers are missing.
Most manufacturers record machine states. They are rarely analyzed, because time is short or the knowledge sits with a few people.
Downtime without a cause
The downtime is recorded. The cause only becomes clear in a conversation at the machine.
Setup with many variants
With small batches and many variants, the sequence determines the available machine time.
Losses without a price tag
Waiting times, throttled machines, scrap: a lot is recorded. Little is valued in euros and prioritized.
From machine to decision
The foundation is machine connectivity, which production.AI has been delivering for more than ten years. Analysis and assistant build on it.
Every machine in view. Even the old ones.
Existing and new machines are connected regardless of manufacturer. You see live what is running, setting up or at a standstill.
- Via controller, sensors or gateway
- CNC, presses, injection molding, EDM
- Start with a few machines
Anomalies report themselves.
An analysis runs in the background, calculates KPIs and reports deviations from normal operation. Nobody has to search for them.
- Throttled feed, tool breakage, scrap
- Waiting times, overruns, weekend downtime
- Rated critical, notable or info
Order ORD-6492 running with throttled feed
Avg. 76% override instead of ~100% · 89 min over target so far
Scrap on part HB-1050 up 26×
156 of 864 parts · last 7 days
Machine idle for 14 h over the weekend
Saturday 6:00 AM – 8:00 PM
Know where action pays off.
A situation report summarizes all findings and ranks them by duration and cost. So you start with what brings the most.
- Losses valued in hours and euros
- Prioritized recommendations
- Updated daily
- 1Cut waiting times for material118 h of blocked machine time€14,477
- 2Cut QA waiting time at M-004101 min per order€6,578
- 3Check tool T-118 at M-0027 breaks at 95% spindle load€672
No black box. Every figure can be verified.
The AI summarizes. The figures behind it come from fixed analyses. For every finding you see KPIs and raw data and can explore it further in the chat.
- Questions in plain language
- Answers based on your data
- Raw data in one click
Since Sep 22, the feed rate has been at 76% instead of 100%. It affects every order, so the cause is the machine.
→ Check the tool and cutting parametersDetects automatically
- Throttled feedOverride below normal
- Tool breakageClusters per tool and machine
- Increased scrapper part and order
- Waiting timesMaterial and QA release
- Runtime over planActual vs. target
- Weekend downtimeMachines without orders
Also on the platform
- Real-time statusall connected machines
- Role-based dashboardsper function and site
- MDC / PDCMachine and production data
- ERP and MES integrationOrders and master data
- Notificationson downtime and limit values
Ask your production.
Explore what the analysis reports in a dialogue. In plain language, without building reports.
Which machine causes the highest avoidable costs?
Plant managementWhich orders run well over plan, and why?
Production planningWhich tools show wear before they break?
Production managementWhy was the machine unproductive at the weekend?
Production managementWhere are parts waiting for QA release?
Quality assuranceWhat takes priority in this shift?
Shift supervisionSwipe for more questions
Built for manufacturing
Machining / CNC
Monitor utilization, downtime and quality, reduce setup losses. From batch size 1 to series production.
Stamping
Use press and tool data, reduce tool breakage, stabilize OEE and setup times.
Injection molding
Monitor process windows in real time and reduce scrap.
EDM
Monitor EDM processes live and detect instabilities early, including during night shifts.
Start small. On one line.
No large-scale project to begin with. We start with a few machines and expand step by step.
Workshop
Clarify goals and questions together
Duration: 1 dayData points
Define relevant signals and machines
Duration: 1 dayMVP
Connect the first machines, get first answers
Duration: 2 daysRollout
Extend step by step to further machines
ongoingYour production data stays under your control.
For suppliers in aerospace, medical technology or defense, it matters where production data is stored. That is why you have the choice.
On-premises
Operated in your own infrastructure.
European cloud
Operated on the AWS European Sovereign Cloud: infrastructure in Germany, operated by EU-based personnel, independent of other AWS regions.
- Role and permission management
- Encryption
Innovation Award Losgröße 1+awarded by the ife network for single-part manufacturers
Certified to ISO/IEC 27001Information security, audited by DMSZ
In use at
Let’s talk about your use case.
A short, no-obligation conversation. You describe a question from your production, we show how production.AI answers it.
What happens after your request
- ResponseWe get back to you personally.
- Short callYou describe a question from your production.
- AssessmentWe show what getting started with a few machines can look like.