Meaning Mining
Our goal is to extract not only the face value of the text
but context and culture-specific implicit meaning that
appears between the lines of unstructured text.
READ MORE
Ontology Driven
IntuView technology applies existing expert human 
knowledge and packages it in ontologies that serve 
as the basis for analysis of the text as well as search
READ MORE
Semantic Text Analysis
IntuView provides tools for a variety of text analytics 
tasks - triage of large amounts of unstructured texts, 
entity recognition, name matching and more
READ MORE

Products

INTUSCAN™ PLATFORM

IntuScan extracts all relevant information from large amounts of unstructured texts to generate the IntuScan graph, a structured graphical representation, and a readable report of the documents, entities, sentiments, ideas and other implicit information. Although IntuScan is a generic platform, it uses domain-specific ontologies to process texts at the semantic level.

NAME MATCHER

Identifies, disambiguates and matches names of persons, places, institutions, etc. from unstructured and structured sources, and links them to contextual information for further identification, creating a virtual “identity card” of the person behind that name: possible affiliations, name variants, ethnic origin, gender, family/tribal links etc.  

IED

The explosive recipe detection module identifies whether a document refers to “recipes” for building explosives or chemical based weapons.

HUMAN TERRAIN MAPPER

IntuScan™ Human Terrain Mapper is a platform for automated mapping of human terrain of a given theater by using information that can be extracted from anthroponomical & corresponding toponymical data.

FIRST RESPONDERS

IntuScan™ for First Response offers emergency services, first responders and national and local authorities with the capability to collect feeds of social media, relating to their geographical area/ areas of responsibility. characterise them in terms of locations, populations etc.

DOCEX

IntuScan™ DOCEX extracts relevant information from large quantities of unstructured texts written in a variety of supported languages, and generates a structured representation and natural language report, which includes the characterization of the document, identified entities, and other information implicit in the document.

Industries

Our Partners