HANNOVER MESSE 2018, 23 - 27 April
Logo innoSEP
Exhibitor 2017


Process optimization via prediction

Logo innoSEP
Exhibition stand
Topic: Young Tech Enterprises - industrial startups, spinoffs and young entrepreneurs
Co-exhibitor with
Young Tech Enterprises

Company Data


innoSEP GmbH

Hanomaghof 2
30449 Hannover


Mr. Dipl.-Ing. Hüseyin Sahin
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Mr. Dipl.-Ing. Kerim Galal
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Year founded

No. of employees
1-10 (Status: 2017)

Annual turnover
less than 1 million EUR (Status: 2017)

CEO: Dipl.-Ing. Kerim Galal

Company profile

innoSEP GmbH stands for - Innovative Solutions for Engineering and Programming - and unites computer science and engineering. In times of industry 4.0 or data-driven-business huge amount of permanently acquired measurement and sensor data leads to a tremendous need for big data technologies. Our business idea is based on a big data analysis model (3-level model) for measurement and sensor data in technical applications. Based on efficient data storage and a professional system and data analysis, this model combines the signal data processing, numerical model validation and intelligent database interpretations with regard to "predictive/prescriptive analytics" and finally the use of sophisticated machine learning algorithm. In addition to the acquisition of profound system understanding, the aim is to be able to derive predictions, trends and action recommendations regarding maintenance and service life elongation, thus optimizing development processes and operating conditions.


Software & Programmierung

Scientific Programming für die Industrie Viele ingenieursspezifische Prozesse verlangen individuelle und an Ihre Anforderungen maßgeschneiderte Programmierlösungen. So können tägliche Anwendungen hinsichtlich Effizienz und Performance optimiert werden. Besondere Anwendungsfelder: Visualisierung Datenmanagement Automation more


Big Data Analytics for sensor data

Nowadays, corporations and medium-sized companies are using more and more measurement sensors in their products, prototypes, test stands and production lines. This results in rapidly growing data volumes with high recording speeds. The screening, elaboration and evaluation of the data-rich measurement more

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