Frequently Asked Questions

We focus on measurable operational problems such as visual quality inspection, production planning, optimization, predictive maintenance, laboratory digitalization, IoT and MES integration, forecasting, and digital twins. Each solution is adapted to the actual production process rather than sold as a generic package.

We begin with discovery and feasibility work to understand the production flow, users, data sources, constraints, and success criteria. When appropriate, we validate the approach with a focused pilot before expanding it into a production-ready system.

Yes. Depending on the project and the systems already in use, integrations can be designed through APIs, databases, industrial communication methods, sensors, and edge devices. The final architecture is selected after technical assessment.

Solutions can be evaluated for on-premise, cloud, or hybrid deployment according to security, connectivity, and operational requirements. Delivery can include installation, user training, documentation, monitoring, maintenance, and controlled future improvements.