New generation of AI-based text analysis surpasses previous limits.
- New generation of AI-based text analysis
- Automatic classification applied in mail room and customer service
- Self-learning data extraction solution for the preparation of documents and emails is commercially available for the first time
ITyX releases a new analysis method based on AI (artificial intelligence) and self-learning algorithms for processing emails and documents in organizations with a “high volume of communication.”
With the new CONTEX platform 2.3, ITyX achieved an enormous leap in automatic content analysis for input management in organizations. The new version of the automation solution reaches a previously unachieved level of accuracy in “thematic sorting, routing and automated processing of unstructured text contents from documents and emails. For 15 years, we have been developing AI methods that time again raise the bar in mail room automation and email management through a clever combination of self-learning algorithms,” says CEO and company founder Süleyman Arayan about the new platform. “Compared with current methods, we are achieving correctness rates with these newly released algorithms that significantly surpass the average quality of sorting by a human.”
CONTEX also involves a new kind of methods for self-learning data extraction from unstructured text contents. This completely novel kind of algorithms has not been previously available in the capture software marketplace. The algorithms enable an automated provision of relevant business data from incoming documents and emails. Thus, media disruptions of today’s largely manual processing are overcome. The majority of text-based business processes is provided in form of processable data sets.
What’s more, ITyX now also offers its automation technology on transaction basis as “process” — in a by German law secure cloud environment. An option especially attractive for mid-sized organizations that previously couldn’t invest in mail room automatization for cost reasons.