Xplain Data Causal Discovery 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 production and yield optimization as well as Care Management.
Xplain Data is 100% owned by our founding team.
“Each new idea passes through three stages. First, people will ridicule it. Second, it is violently opposed. Finally, it will be considered self-evident.”
– Schopenhauer (1788 – 1860)
In many analytics projects, the intricate nature of real-world data often clashes with the limited data structures that today’s machine learning algorithms can accommodate. Rather than trying to shoehorn data into oversimplified structures, we recognized the need for a concept that could handle complex real-world objects “as they are.”
Xplain Data: Pioneering Big Data and Artificial Intelligence Innovation since 2015
In 2015, we embarked on a journey to drive groundbreaking innovation in the field of big data and AI. This journey led to the creation of the ObjectAnalytics paradigm, a revolutionary approach to working analytically with whole objects. Building on this paradigm, we have forged a unique path in Causal Discovery.
Xplain Data: Fostering Innovation through Entrepreneurial Thinking and Collaboration
Innovation thrives on entrepreneurial thinking and a collaborative partnership model that we have fostered with our early adopter customers. We embrace the opportunity to welcome more visionary customers and partners interested in incorporating our breakthrough technologies into their portfolios.
Xplain Data: Empower your innovation with our collaborative model
Partnering with us opens the door to a variety of innovative collaboration models, including our Co-Innovation framework. Here, risk and reward are shared equally, giving you the opportunity to capitalize on breakthrough collaboration methods.
We invite you to explore the limitless possibilities of working with ObjectAnalytics and join us in unlocking the potential of complex real-world data.
The buzz about Artificial Intelligence is ubiquitous, but there is no talk about causality. Can a system be intelligent without a notion of cause and effect?
Our mission is to bring viable concepts for causality into the domain of Artificial Intelligence. It requires a holistic view to the object of analysis, which we enable with a novel database technology.
For classic machine learning methods, data has to be cast into constrained analytical schemas, typically a flat table… while real-world data is much more complex than that.
Our vision is to enable Causal AI algorithms that process complex “objects” exactly as they are instead of in an artificially prepared analytics environment.
Want to head off with us?
Are you looking for a fresh view on analytics? Are you open to combine the strength of your established company with that of our agile, innovative startup? If so, we are looking forward to hearing from you!