Control and Embedded Software
With nearly 40 years of in-depth experience in the market, infoteam was founded with the goal of simplifying the programming of Programmable Logic Controllers (PLCs). As one of the key participants in formulating the IEC 61131 standard, we have not only achieved this goal but also accumulated profound professional knowledge over the years, which is still successfully applied in practice today.
Today, embedded software has become one of our core businesses as a comprehensive software service provider. Whether it is firmware, Board Support Packages (BSPs), or Human-Machine Interface (HMI) connections, our software can drive the operation of your hardware (while meeting real-time requirements) and lay the foundation for seamless communication and networked systems — and of course, it always complies with current security requirements.
To address functional safety-related needs, we combine our embedded expertise with profound experience in safety projects to develop software that meets the highest safety standards.
Middleware Software
One of the core elements of successful digitalization is a standardized communication interface, which can unify heterogeneous devices and data structures to enable global resource sharing. This requirement applies to both the device layer and the enterprise layer. Whether it involves fieldbus protocols, OPC UA (Open Platform Communications Unified Architecture), or cloud connectivity: leveraging our expertise in industrial communications and the modernization of existing systems, you can embark on the path of digital production immediately.
Data Science and Analytics
No matter which stage of digital transformation you are currently in — by collaborating with us, taking the next step toward an interconnected smart factory will be much easier. The application of data science in the industrial sector cannot be limited to a single link; instead, it requires a holistic consideration from the device layer, Supervisory Control and Data Acquisition (SCADA) systems to Enterprise Resource Planning (ERP) systems. Our data scientists use mathematical methods and machine learning technologies to extract key value information from massive amounts of data, helping you strengthen your technological leadership.