We develop your IIoT software on a .net basis
Why are standard IIoT solutions often not enough?
Standard solutions in Industrial IoT (IIoT) often reach their limits because industrial environments are heterogeneous, historically grown and highly individualized. Platforms can make it easier to get started, but are rarely able to fully represent real machine parks, existing IT systems and specific processes.
In practice, there are typical challenges:
The sustainable added value of IIoT only comes when data is precisely integrated and further processed — often through individual software development rather than through rigid standard platforms.
Why is individual software development crucial in IIoT?
Individual software development is crucial in IIoT because it enables companies to design solutions specifically according to their own processes and operating requirements. Instead of adapting to the logic of a platform, the result is a solution that fits seamlessly into the existing IT and process landscape.
Architectural sovereignty
Full control over system design, interfaces and data flows.
Customizable business logic
IIoT functions follow your own processes.
Future security
Expansions, new use cases or systems can be integrated in a targeted manner.
Sustainable operation
Maintainability, security and scaling have been considered right from the start.
In this way, IIoT does not become an isolated technical solution, but a strategic part of business software.
Why are .NET and C# a particularly suitable basis for IIoT software?
.NET and C# are particularly suitable for IIoT applications because they combine stability and long-term maintainability with high integration capabilities.
These properties are particularly important in industrial environments where software has been operated for many years. In doing so, we consistently rely on Clean Code Development to ensure that your IIoT software remains expandable and secure even after years.
The .net ecosystem provides a sophisticated platform for developing backend services, APIs, edge applications, and cloud components. In combination with C# as a highly typed, structured programming language, robust IIoT solutions are created that can be expanded in a controlled manner and operated securely.
Typical benefits of C#/.NET in an IIoT context are:
Which use cases can be implemented with individual IIoT software?
Individual IIoT software is used wherever industrial data is to be specifically evaluated, combined or used operationally. The added value comes from their concrete use for operational or control tasks.
Health and event monitoring
Transparency about machine states, downtimes or deviations as a basis for operational decisions — as our practical example of highly efficient smart monitoring in the LEWA reference shows.
maintenance and repair
support
Use of operating data to better plan maintenance measures and reduce unplanned outages. Find out how we minimize downtime in our reference LEWA.
Production and process analysis
Analysis of throughput times, bottlenecks or process deviations based on real production data. Our case study for coating systems shows how cross-site data analysis increases efficiency.
Quality-related data evaluation
Linking production and quality data for root cause analysis and process improvement. In our case study on process control, learn how AI-based analyses minimize the error rate in manufacturing.
Energy and resource analysis
Evaluation of consumption data to identify savings potential and increase efficiency. Our reference for Uhlmann Pac systems shows how we increase resource efficiency through digital solutions.
Provision of data for subsequent processes
Transfer of selected information to planning, reporting or other IT systems. Our reference for coating systems shows the seamless transfer of data to higher-level IT systems.
How we develop your ideal IIoT solutions
Together, we analyze your processes, identify IIoT use cases and evaluate their business case — as a sound basis for deciding on your IIoT investment.
We design your IIoT solution as an intersection of business, technology and user requirements. To do this, we detail use cases, define interfaces and create a concrete implementation plan.
In Dual Track Agile Let us redevelop your IIoT software Clean Code Standard — iterative, user-centered and with continuous releases that add value to your company early on.
We operate and maintain your IIoT solution, monitor system performance and ensure sustainable, secure operation with regular updates and technological development.
Why generic.de as a partner for IIoT projects?
We develop individual IIoT software with the aim that it can be permanently and cleanly integrated into existing IT and process landscapes and can be further developed in a controlled manner even after go-live.
Our approach follows the same principles that underlie our clean code philosophy: clear structures, understandable logic and software quality that enables long-term operation — instead of short-term interim solutions.
Here you can find out more about our philosophy of Individual software development.
Individual software instead of platform thinking
We develop IIoT solutions tailored to your requirements — not within the limits of a standard product.
Clean code approach for IIoT software
The focus is on understandable, maintainable and expandable code that can be operated securely even after years.
Deep.NET and integration
Competence
Many years of experience with C#/.NET, interfaces, APIs and business systems form the basis for robust IIoT architectures.
Practical look at operation and development
Maintainability, security and scaling are considered from the outset — not just after initial start-up.
Your start with IIoT — realistically evaluate, define next steps.
The most common questions regarding IIoT software projects
When is an IIoT project economically worthwhile?
An IIoT project is economically worthwhile if measurable improvements can be achieved through the use of operating and production data. Typical effects include reduced downtime, lower maintenance costs or more efficient production processes. In many cases, economic benefits arise even with clearly defined applications. It is crucial to define the benefits early on and to set up projects in such a way that they can be gradually expanded.
What are the risks associated with IIoT projects and how can they be minimized?
The most common risks associated with IIoT projects include unclear objectives and lack of integration into existing systems. These risks can be reduced by starting projects with clear questions and designing them in a technically clean manner. A step-by-step approach with pilot applications helps to gain experience.
Is industrial IoT more of an IT or a specialist topic?
Industrial IoT is neither exclusively an IT nor a purely departmental issue, but an interplay between both sides. Business areas define goals, questions and desired benefits, while IT is responsible for integration, security, and operation. Successful IIoT projects are created where both perspectives are brought together early on. A clear distribution of roles and a common definition of goals are more important than the organizational allocation of the project.
Does IIoT require a new IT infrastructure to be built?
IIoT generally does not require a completely new IT infrastructure. Many IIoT solutions build on existing systems and expand them in a targeted manner. It is important that relevant machine data can be made accessible and connected in a meaningful way. Instead of parallel structures, it is recommended to gradually expand the existing IT landscape in order to create sustainable and integrated solutions.
What is the role of cloud and edge computing in IIoT?
Cloud and edge computing complement each other in IIoT. Edge components enable data to be processed close to the machine, for example for preprocessing or time-critical functions. Cloud components are often used for analysis, aggregation, integration, and scaling. Which tasks are implemented where depends on safety and operational requirements. In practice, a hybrid architecture is usually created from edge and cloud components.
With what scope should a first IIoT project start?
An initial IIoT project should start with a clearly defined and manageable use case. The aim is to quickly gain insights and gain technical and organizational experience. A small start reduces risks and makes it easier to assess the actual benefits. On this basis, the project can be expanded in a targeted manner, for example to include further data sources or use cases.
What internal resources are required for an IIoT project?
An IIoT project usually requires contacts from specialist areas, IT and possibly maintenance. The size of the project team is less important than a clear responsibility and decision-making structure. Technical knowledge of processes and systems is just as relevant as technical know-how for integration. Close coordination between the parties involved makes a significant contribution to the success of the project.
How long does it take to implement an IIoT project?
The duration of an IIoT project depends heavily on the use case, the existing infrastructure and the scope of integration. Pilot projects provide initial results and help to better understand requirements.