No manual tagging
Train on any set of raw (untagged) data at limited resources and with limited computational effort.
No loss of data
Complex probabilistic network of relations is built with no information thrown
away.
Explainable
The AI is explainable and contains information about decision-making, which is essential for human-in-the-loop quality assurance.
Precision
Best-in-class precision even when trained on limited data sets – superior practical value vs existing
solutions in a broad range of use cases.
Access data faster
Anzyz CCL™ enables faster access to any type of textual data in any format or language. Our solution analyzes and understands Big Data “from the inside-out”, and makes it possible to integrate unstructured and structured data, across information sources. Spend less time searching for data and access all information in one knowledge base.
Contextual meaning
Anzyz CCL™ understands interdependencies and connections in words, sentences and context – fully based on self-learning from raw datasets, the solution is thereby able to understand expressions and characteristics, as well as terminology, misspellings and abbreviations, in any natural written language.
No manual tagging
Avoid tagging single words (so called manually-based rules or indexing) and spending huge amounts of time to manually go through Big Data. Manually-based indexing systems have proven to be very difficult and highly time consuming. In contrast, with our unique unsupervised Artificial Intelligence we deliver an automated solution which requires significantly fewer resources.
