A significant portion of the information that companies generate is stored as semi-structured data or text. Moreover, the data is rarely linked and is often managed in myriad data silos. This makes knowledge discovery and data analysis complicated and costly.

To solve this problem, we have developed AI technologies that enable machines to interpret and classify the actual meaning of data and text accurately, consistently, and across silos. 

Our semantic data analysis technologies enable the deployment of enterprise-wide and scalable solutions to generate 360-degree views of business objects such as Customer 360 or Employee 360.