The idea for Gridhound originated during his work at the Institute for Automation of Complex Power Systems at the E.ON Energy Research Center of RWTH Aachen University, when a European distribution network operator postulated the need for affordable capacity management for medium- and low-voltage grid monitoring. This input, coupled with the resulting implications for the future viability of the networks, led to the idea of ​​transferring machine learning methods into network operation, thereby addressing the challenge of distribution system operators with an absolutely innovative approach.
Two years later, after intensive research, planning and a proof of concept in the form of a dissertation, Gridhound was launched.

Nicole Zeidler acquired extensive along with international expertise in the setup, marketing and successful sale of complex products and services in her previous employments in private companies and public services. Her skills in Business Development, Marketing and Sales form a valuable link between man and technology.