Xplain Data

Xplain Data GmbH focuses on the development of innovative technologies in the field of Causal Machine Learning and Causal AI.

In many analytics projects, the complexity of real-world data often clashes with the restrictive data structures that today’s Machine Learning algorithms can digest. Instead of forcing data into oversimplified structures, we felt that a concept was needed that can handle complex real-world objects “as they are”.

In 2015, we, therefore, set out to develop some groundbreaking innovations in the context of Big Data and Artificial Intelligence. The ObjectAnalytics paradigm emerged for that – a novel concept for working analytically with entire objects – and based on that our unique approach to Causal Discovery.

Xplain Data is still 100% owned by our founding team.

Xplain Data Causal Discovery / Causal AI algorithms enable companies in all industries to identify the few, potentially causal relationships in their “real world data” that are hidden behind a plethora of trivial correlations. Users can leverage this cause-and-effect knowledge to intervene in their business processes to eliminate the causes of errors or achieve a desired effect. Xplain Data customers include leading enterprises in the mechanical engineering, manufacturing, and healthcare sectors, which use the technology not only for sophisticated data analyses but also for predictive maintenance, yield optimization, and Care Management.

Our team of 4 founders (and data enthusiasts) has a proven track record of developing innovative data analytics solutions at renowned companies including Accenture, SAP, and Siemens. Their vision is to enable Causal AI algorithms that process complex “objects” exactly as they are instead of in an artificially prepared analytics environment.