InnoSEP – Data Scientists for your measurement data

innoSEP GmbH stands for innovative solutions and connects the fields of engineering and information technology. Our self-developed algorithms are based on the latest methodology of machine learning, AI and signal processing through technical engineering and allow for a partly automated and system-independent extraction of characteristics.

In the field of FEM & CFD simulations, we initially specialized in nonlinear contact and material simulation for the wind energy industry. During this time, we could explore new task fields of IT-supported mechanical engineering such as programming and signal data processing. Today, the progressive digitalization of the industry is bringing computer science and the world of mechanical engineering closer together and is increasing the necessity of interdisciplinarity between computer science and mechanical engineering. With the establishment of InnoSEP GmbH in 2016, we have taken an important step to offer solutions for the new challenges presented by industry 4.0.

As Data Scientists with profound technical know-how and the professional competence of simulation engineers, we developed a big data analytics model particularly for measuring and sensor data in 2016. This basic analysis model now serves as the foundation for developing our solution for virtual product development. It combines numerical simulations, AI and machine learning to produce forecasts about the component durability during the product life cycle of high-performance components already in the development stage. Altogether, our product helps to minimize costs, among other things by reducing designing loops, to shorten time-to-market cycles and to revolutionize the product development stage by virtual prototyping.


Hüseyin Sahin
CTO | Mechanical Engineer
Phone: +49 (0) 511 - 590 72 776
Mobile: +49 (0) 178 - 402 14 32
E-Mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Kerim Galal
CEO | Mechanical Engineer
Phone: +49 (0) 511 - 590 72 777
Mobile: +49 (0) 163 - 601 65 96
E-Mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

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