innoSEP GmbH

There is no question that a sustainable use of AI, is inevitable for companies in the future. However, the alarming truth is that about 80% of data-driven AI adoption in the industry fail. The reasons are multi-dimensional, dominated by lack of strategies, talent shortage, functional silos, data quality, lack of trust.... innoSEP addresses some of the core problems with its AI software and focuses on three essential key features - empowering domain experts, increasing single-domain productivity (Data Science, Software Architecture…) and improving communication between departments - to sustainably increase the success rate of holistic AI adoption in the industry. innoSEP operates a collaborative software environment (no-code) for the entire industrial analytics lifecycle, that efficiently empowers organizations to build, deploy, and maintain specific industrial AI Apps in self-service. More precisely, by - a consideration of open-source frameworks and no-code translation, the individual functional domains (IT/OT, Analytics, business owner…) become more productive. - a visual-centric workflow that actively and understandably involve domain experts without programming skills for high acceptance and transparency. - a collaborative environment and role-based workflow breaking down competency barriers between functional domains. Thus, the AI adoption from business case modeling to data aggregation to runnable AI services is improved by innoSEP's software.