Total control of digital product development
Together with Infosys, in-tech shows how the increasing complexity of software-driven products can be managed during development using artificial intelligence, model-based systems engineering and modern software architectures.
20 Mar 2025Share
Products are becoming increasingly intelligent and software-driven – from vehicles to industrial plants to household appliances. This increasing software-orientation makes development significantly more complex. Together with Infosys, in-tech is presenting solutions in the areas of artificial intelligence, software & systems engineering, smart factory and cybersecurity at HANNOVER MESSE 2025 to make this complexity manageable. Visitors can learn about in-tech's advanced solutions at the Infosys booth in Hall 14, Booth H18. “With our expertise, we support companies in successfully overcoming the challenges of digital product development,” explains Tobias Wagner, Managing Director of in-tech GmbH. “This enables our customers to bring their innovations to market faster, make development processes more efficient and maintain their product quality at the highest level.”
Structured development of software-defined products
Digitalization is fundamentally changing industrial products – from electromechanical systems to intelligent, software-controlled solutions. This is accompanied by an increase in technical complexity, safety requirements and the need for multidisciplinary collaboration. In-tech supports its customers with a holistic systems engineering approach that integrates software, hardware, and system development. Model-based methods, systematic architecture definitions, and agile development processes are used to accelerate innovation cycles, ensure quality standards, and efficiently meet regulatory requirements. A consistent tool chain and automated validation processes ensure traceability and risk minimization over the entire product life cycle.
Intelligent data processing directly on site
AI on Edge enables intelligent data processing directly on site by running AI models on local devices (“edge devices”) instead of in the cloud. In-tech uses this technology to make industrial products and processes more efficient and smarter, while also increasing data security by eliminating the need to transfer sensitive information externally. This is designed to reduce data traffic, facilitate integration into existing infrastructure, simplify compliance with data protection guidelines, and optimize overall process control.
Efficient processes and flexible products
The targeted use of IoT, cloud, data analysis and AI technologies can optimize operational and production processes and develop new business models. User-centered user interface design minimizes training efforts and errors. Flexible microservice architectures enable faster development and simple, flexible deployment. Digital industrial solutions are developed faster and can be adapted more flexibly to future requirements.
Protection through modern software architecture
Cybersecurity is becoming more and more important due to external regulations such as the Cyber Resilience Act and the increased threat situation. Among other things, in-tech uses container-based software architectures to help companies efficiently meet security requirements and reliably protect their IT infrastructures. This allows modern security standards to be flexibly and sustainably integrated into existing systems.
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