We have developed an intelligent algorithm (EDI Dynamic Risk Management) that enables autonomous driving systems to manage various risks on the road as dynamically as experienced and responsible human drivers would. The approach is transferable and we can use it to dynamically assess and solve risks in other areas as well!

EDI offers engineering and IT consulting for an efficient data handling and evaluation with statistical and AI (artificial intelligence) algorithms in combination with formalized expert knowledge for precise and intuitive engineering predictive analytics.

EDI offers engineering and IT consulting for an efficient data handling and evaluation with statistical and AI (artificial intelligence) algorithms in combination with formalized expert knowledge for precise and intuitive engineering predictive analytics.

Welcome to EDI. We are constantly looking for motivated talents to join our team. Depending on your personal interests, skills and the current career phase, we will individually evaluate cooperation possibilities.

Eberhard GmbH & Co. KG "Wir verwenden EDI hive, um unser Wissen über das Systemverhalten unserer innovativen oszillierenden Verbrennung zu erweitern. Mit den entdeckten Parametereinstellungen können wir die Stickoxid (NOx) – Emissionen um bis zu 50% reduzieren."

EDI offers engineering and IT consulting for an efficient data handling and evaluation with statistical and AI (artificial intelligence) algorithms in combination with formalized expert knowledge for precise and intuitive engineering predictive analytics.

Die EDI GmbH bietet KI-basierte Anwendungen. Das EDI hive IoT Framework ermöglicht die Optimierung und Überwachung von Prozessen und Maschinen ohne Kenntnisse bzgl. künstlicher Intelligenz (KI) und Programmierung.

Die EDI GmbH wurde 2015 als Spin-off des Karlsruher Instituts für Technologie (KIT) mit dem Ziel gegründet, gezielte Industrie 4.0-Anwendungen, d.h. semantische Vernetzung von Daten und KI-basierte digitale Services, in verschiedenen Bereichen anzubieten.

The innovative bioliq® process (Biomass-to-Liquid) can be controlled through AI-applications with EDI's hybrid models. As a result, there is no need for the plant operator to know the complex simulation models to control the plant in their energy and resource optimum.

EDI GmbH offers core functions for autonomous driving, such as dynamic risk management and risk assessment with learning AI.