Since our founding in 1999, industrial companies have been our core customers. Benefit from our rapid familiarisation with your field, our wealth of experience and our in-depth industry expertise.
Our developers use AI and LLMs in software development. This allows us to translate your requirements into code even faster – naturally with the highest data protection and security standards.
We have been working successfully with our Croatian subsidiary littlecode since 2017. This allows us to offer you even more manpower – tailored to your budget.
We develop customized IIoT platforms, sensor networks and data portals based on Microsoft Azure IoT. Our solutions enable the collection, processing, and analysis of industrial sensor data in the cloud or on-premises. This makes it possible to monitor machine states, optimize processes and make well-founded decisions based on real-time data.
For LEWA GmbH, we developed an IIoT platform for industrial pumps. Smart monitoring is at the heart of the solution. Sensors are used to determine 80 different pump characteristics per second from up to 14,000 sensor values. Smart monitoring makes it possible to interpret these characteristic values via algorithms and translate them into diagnoses including fault localization. In addition, the technology makes it possible to predict errors, risks and wear and tear in the sense of predictive maintenance.
Read the full case studyWe develop specialized AI-based quality assurance systems that use neural networks and semantic segmentation to precisely identify defects — even with low detection thresholds. Our solutions are optimized for high processing speeds and can be seamlessly integrated into industrial production processes.
For a food packaging company, we have developed an AI-based solution for automated quality control. Instead of manual visual inspection, the software detects faulty windings, overhangs and empty spools and automatically controls the material flow. This reduces downtimes, increases efficiency and provides valuable data for targeted optimization of machines and production processes.
Read the full case studyWe develop tailor-made predictive and preventive maintenance solutions that enable predictive maintenance through data-driven analyses and real-time monitoring. This makes it possible to identify failures early on, optimize maintenance measures and reduce operating costs — for maximum plant availability, efficiency and product quality.
For LEWA, we developed an IoT-based smart monitoring solution that automatically interprets pump parameters and makes them understandable. Based on mathematical models, the condition of each pump is analyzed, deviations identified early on and specifically localized. This intelligent monitoring forms the basis for preventive and predictive maintenance — for higher plant availability and more efficient service deployments worldwide.
Read the full case studyWe develop individual software solutions for 3D printer manufacturers and additive manufacturing platforms that optimize process reliability, documentation and scalability. Our solutions enable seamless traceability, secure licensing and intuitive user guidance — from real-time monitoring to quality assurance.
For Würth Additive Group, we developed a scalable platform for 3D printing as a service — with secure license control, quality control, intuitive UX and an open API. The solution enables controlled production on site, protects intellectual property and creates the basis for digital inventory management in industry.
Read the full case studyWe develop tailor-made control center solutions for production companies – with real-time overview, production planning, ERP connection and smart factory functionalities. This allows you to control your production efficiently, digitally and future-proof – perfectly tailored to your processes and systems.
For a customer from the wood industry, we have designed and developed user-centered control center and supply planning. Through on-site analyses, it quickly became clear that the existing problems were different than expected and a bad investment could thus be avoided. Instead, we modernized the existing solution and, thanks to new operating concepts, optimized efficiency, minimized error rates and sustainably improved user satisfaction.
We develop scalable and intuitively operated HMIs (human-machine interfaces) – from individual machines to modular HMI frameworks. Whether for laser machines, machine tools or 3D printers: Our solutions offer a clear user experience, are based on clean, maintainable code and can be flexibly adapted to new requirements and types of machines.
We have developed an architectural concept for a new HMI solution for a company in the field of laser engineering. The aim was to optimize communication between controller (PLC) and HMI and to create a technical basis for efficient development. The focus was on modularity, testability and sustainable system architecture.
We develop individual 3D visualizations of real manufacturing environments. They provide a holistic view of production processes and make alarms, faults and processes visible in real time and specific localization. Whether planning, commissioning or ongoing operation: Our solutions help you to simulate processes, reduce downtime and train personnel in a targeted manner.
For a customer from the automotive industry, we developed an interactive 3D visualization as a digital twin for final assembly. The solution enables real-time monitoring, visual alarm display and quick response to faults. It was supplemented by a modular data science system with microservices, simulation and cloud connectivity — for less downtime, more efficient processes and future-proof operation.
We support you in implementing Manufacturing-X — support you from strategy to go-live, implement data rooms and connectors, integrate existing systems and provide continuous technical support. For secure, interoperable, scalable value networks.
Industrial software (often referred to as Industry 4.0 software) encompasses digital solutions that connect machines, sensors, and business processes in real time – from IIoT platforms and HMI frameworks to predictive maintenance algorithms. The aim is to make production processes more efficient, transparent, and autonomous.
1. Kick-off & ideation (problem analysis, vision)
2. Research (concept, specifications, UX prototypes, cost plan)
3. Dual-track agile delivery (increments every 2 to 4 weeks)
4. Operation & support.
This four-phase process (“developing the right thing right”) ensures transparent budgets and fast MVPs.
The focus is on the Microsoft stack (.NET, Azure IoT Hub, Azure Functions). For edge cases, we use Docker/Kubernetes, MQTT & OPC UA; UIs are created with React/Blazor or WPF/HMI frameworks.
A lean proof of concept is often ready after 6–12 weeks, a productive first release (MVP) after 6–12 months; this is followed by continuous further development. The dual-track agile method shortens feedback loops and protects your budget.
It is particularly suitable for mechanical and plant engineering, pump, laser, and 3D printing manufacturers, automotive suppliers, and the packaging industry. generic.de has been supporting mainly German industrial customers for 25 years and brings in-depth domain knowledge to every project.
We develop REST/GraphQL & OPC UA interfaces, connect ERP/MES via message brokers (MQTT, AMQP), and support common fieldbus protocols. This allows the solution to be gradually embedded into your OT/IT landscape – without production downtime.
The first step is a free initial consultation, during which we analyze your goals and challenges together. We then define your product vision, check the technical feasibility, and develop a customized project roadmap. This creates a solid foundation for the successful launch of your industrial solution.