Industrial Hub

Feedback from the production floor

What production managers report after the switch

Measurable improvements instead of promises

Our platform is evaluated where it works: on the line. The following voices come from production managers, quality officers, and plant planners who implemented the switch to data-driven control with us.

Machine utilization +14%

The bottleneck indicator immediately showed us where the buffers were missing. We changed the sequence, and downtime between shifts has noticeably decreased.

Monika Herbst Production Management, Steyregg

Setup time −22%

The digital setup checklist has replaced our paper-based system. Switching between two product series now takes significantly less time because every step is stored at the terminal.

Dr. Vincent Neumann MBA. Plant Planning, Linz

Quality data in real time

Previously, we only saw rejects at the end of the day. Now the system reports deviations directly at the inspection station, and the operator can take immediate corrective action.

Ing. Petra Waldner Quality Management, Wels

Maintenance made plannable

Predictive maintenance saved us two unplanned stoppages last quarter. The sensor data is plausible, and the thresholds can be easily adapted to our equipment.

Markus Steiner Maintenance, Enns

Transparency for management

The overview of machine status and order progress is now on a single dashboard. Coordination between planning and production runs without follow-up questions.

Sabine Koller Operations Management, Traun

Functions for the Manufacturing of Tomorrow

Our platform combines production control, quality management, and resource planning in a cloud-based environment. This gives you full visibility into machines, materials, and personnel – in real time and across all locations.

View all modules

Real-Time Machine Monitoring

Capture utilization, cycle times, and downtime of your equipment directly at the source. The data is automatically processed and displayed in clear dashboards.

Reduces unplanned downtime by up to 30 percent

AI-Powered Quality Control

Our algorithms detect deviations in production early – from material properties to dimensional accuracy. This prevents waste before it occurs.

Significantly lowers the defect rate in series production

Intelligent Resource Planning

Plan machine allocation, shift models, and material availability on a central platform. Bottlenecks become visible before they halt production.

Increases machine utilization without additional investment

Predictive Maintenance

Our sensor data analysis detects wear patterns and predicts maintenance needs. You maintain exactly when it is necessary – not too early, not too late.

Significantly extends the lifespan of your equipment

Digital Process Documentation

All production steps are automatically logged and stored in an audit-proof manner. This simplifies audits, certifications, and traceability of individual batches.

Saves up to 15 hours of documentation work per week

Energy and Consumption Analysis

Monitor electricity, compressed air, and cooling water for your systems in real time. Our analyses reveal savings potential that would otherwise go unnoticed in the daily hustle.

Reduces energy costs by an average of 12 percent

From the initial inquiry to ongoing operations: a clear process that gradually transitions your manufacturing to cloud-based control.

How the rollout works

1. Current-state analysis and goal definition We capture your machines, processes, and data sources on-site or via remote access. Together, we define concrete goals: less scrap, higher utilization, shorter setup times.

2. Concept and data model The analysis results in a technical concept: which sensors will be connected, which KPIs will feed into the dashboard, and what the interfaces to your ERP or MES environment will look like.

3. Pilot phase on one line We start with a single production line or machine group. There, we test data collection, AI models, and the user interface under real conditions—without disrupting ongoing operations.

4. Integration and training After a successful pilot run, we connect additional equipment. Your teams are trained directly at the machine: operating dashboards, handling alarms, and interpreting quality data.

5. Ramp-up and optimization The platform goes live. We monitor the first few weeks, fine-tune thresholds and AI models, and ensure that the KPIs meet your defined goals.

6. Operations and further development After the ramp-up, you take over daily operations. We remain available as a partner: for updates, new evaluations, and connecting additional sites or machines.

Notes on Platform Usage

To avoid any misunderstandings, we have summarized the most important terms and conditions for using our production software. The explanations apply to all modules of the platform.

Real-time dataAll key figures on machine utilization and process stability are taken directly from the connected control systems. The display occurs with a delay of no more than two seconds.
AI modelsThe analyses for quality control are based on models trained with industry-specific data sets. The results serve as a basis for decision-making and do not replace a final technical inspection.
Resource planningThe planning modules take into account machine capacities, shift models, and material availability. Manual entries by the production management always take precedence over automatic suggestions.
Data securityAll production data is transmitted encrypted and stored on servers in Austria. Access by third parties is excluded, provided that the access credentials are not shared.
IntegrationConnection to existing machines is carried out via standardized interfaces such as OPC UA or Modbus. For older systems, we provide suitable adapters upon request.