Discover fortiss

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Conference

SVI Network Conference & Defence TechDay 2025

On July 8th and 9th, 2025, technological innovations for defense will be in focus in Munich and Erding. fortiss will present a demonstrator for gesture-controlled human-machine interaction based on neuromorphic systems—an application example of adaptive technologies in safety-critical environments.

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Training

From prototype to productive system - how structured AI development and management works

In this training course, you can learn about open source technologies for a standardized project structure, data versioning and experiment tracking in a combination of short theory units and live coding sessions.

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fortiss Newsletter

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Focus topic energy

Windmills and energy management system

Intelligent software solutions for a sustainable and efficient energy world

fortiss sees the current challenges in the energy sector as an opportunity for innovation: using AI, machine learning, and scalable software solutions, the research institute drives digitalization, the integration of renewable energies, and the flexibility of energy systems – paving the way for a sustainable and future-proof energy supply.

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Research focus areas

Teaser Software- und Systems Engineering

Software & Systems Engineering

Until now, software and systems engineering has focused on ensuring the reliability and security of relatively small, centralised and automated systems that operate in predictable environments. However, current and future requirements are increasingly shifting towards ensuring the trustworthiness of larger, dynamically networked, self-learning and constantly evolving, often autonomously acting systems. In the Software & Systems Engineering research focus area, fortiss is expanding the classic methods of model-based software and system development and integrating them with new development methods for data-driven applications. 

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Teaser AI Engineering

AI Engineering


The AI Engineering research area focuses on researching and developing a new generation of robust, trustworthy AI technologies that can make timely, safe decisions in uncertain and unpredictable environments. Our goal is to increase the trustworthiness and explainability of AI systems and ensure they are resilient to erroneous inputs and targeted attacks. The focus here is on processing large volumes of data as well as gaining knowledge from small amounts of data without jeopardising confidentiality and privacy.

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Teaser IoT Engineering

IOT Engineering


In the IoT Engineering research focus area, fortiss develops flexible, software-based infrastructures that adapt dynamically to changing requirements. We integrate sensor, computer and communication capabilities into heterogeneous systems and penetrate critical infrastructures using software. Our focus is on the creation of resilient, decentralized systems, the transparent management of data and the further development of communication networks. We combine edge and cloud computing to enable efficient, secure and scalable IoT solutions for modern, dynamic environments.

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Career @ fortiss

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You can find current job offers on our applicant portal

Are you about to take your first step into professional life? Or would you like to take on responsibility, expand your expertise and contribute your personal share to the success of fortiss?

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