Data is not just what is stored in gigantic databases or repositories accessed by powerful computer algorithms. It is created constantly by people getting together to create new solutions for complex problems.
Infoloom provides technology that addresses the missing spot between big data and the smaller amount of data that are useful for humans to build their understanding and take decisions. Our platform enables experts to enrich data in ways that make the data more precise and relevant, in contrast with just accepting data coming out of automated processes.
Infoloom's platform is cloud-based. The only thing needed to create shared knowledge networks is a modern browser and an Internet connection. Shared access to the same data set enables more intimate collaboration, and is vital when people can't meet at the same location. When new connections between topics are created on the fly, they get added to already existing connections.
The data problems we are addressing have no borders. Therefore people should not be excluded by the languages they speak.
Infoloom's platform differentiates between subjects and names used to label them and preserve connections between them, regardless of the languages in which their names are expressed.
The ability to build international knowledge networks is built into Infoloom's Networker technology.
Corporations spend lots of time and effort building consensus on their information infrastructure, which often results in a compromise over diverse points of view on the nature of the content.
Companies that are involved in digital transformation processes are considering how their systems can be maintained over the long term.
Infoloom provides ways to reduce this problem by providing an unconstrained, flexible underlying data model that accepts any new type of data, because the qualification of a data item derives from its relationships to others rather than from its intrinsic properties. Not only data can last much longer and still be accurate, but multiple points of view can coexist.