IntuScan™ is a fully automated multi-lingual and “hybrid-lingual” integrated semantics-driven platform, which processes any text in a supported language. The purpose of IntuScan™ is to extract all relevant information from
 a large quantity of unstructured texts written in a variety of languages, and to provide the user with all the information explicitly mentioned or implicitly alluded to in the document.

IntuScan™ Docex
IntuScan™ Docex is the main platform of IntuScan. IntuScan™ Docex processes unstructured texts in any textual format and supported language, extracts all relevant information from them and generates a structured representation and natural language report, which includes the characterization of the document, identified entities, sentiment towards those entities and other information implicit in the document.

IntuScan™ Docex for Homeland Security and Sentiment Analysis
In counter-terrorism operations, tens of millions of documents are seized or intercepted annually. Western intelligence agencies, militaries, and law enforcement agencies face a need to efficiently and rapidly extract information of high intelligence value contained in such documents and to pass the intelligence on for operational exploitation. However, existing methods of triage and intelligence extraction are too slow, labor intensive and miss cultural and religious allusions that may be the key to future dangers. IntuScan™ DOCEX for Homeland Security is designed to assist the user to find the most relevant documents out of a large batch of documents. The users can define the characterization of a relevant document using all the information extracted by the system. IntuScan™ DOCEX for Homeland Security can be used both in the field, where real-time triage and first tier exploitation of the captured and intercepted documents is imperative and at Headquarters where masses of documents must be processed and analyzed together.

IntuScan™ Sentiment Analysis performs deep sentiment analysis to identify not only the general sentiment of the text towards entities, but also: the specific nuance of sentiment towards each entity; the “aggregated sentiment” towards the entity, as deduced from different expressions of sentiments, and the inferred sentiment towards entities who are not mentioned explicitly in the text but alluded to through the affiliation of explicitly named entities with them.

IntuScan™ IED (Explosive Detection Module)
The explosive recipe detection module identifies whether a document refers to “recipes” for building explosives or chemical based weapons. The algorithms infer from the materials, the procedures, safety measures and proportions of chemical substances what explosive substance the recipe may intend to create. The algorithms also infer what use may the product be put to (obviously if the amount or proportions indicate a high sensitivity explosive, there would be constraints in moving it, amounts may indicate usage in vests, car bombs or for closed areas such as personal assassination or aircraft.
IntuScan™ Name Matcher
IntuScan™ 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.  This technology is applied to the IntuScan™ Watch List Manager that vets and validates data in lists of named person entities (watch lists, etc.), transforming them into robust and useable databases.
IntuView Asylum Seeker Vetting Toolkit
The Asylum Seeker Vetting Toolkit will create a protocol in which to gather the information from subjects, automatic matching of the responses, analys the names, identify the person in the correct context and match it with the person's ideological backround.