ayfie Inspector for content insights is a revolutionary linguistics analytics platform that ascertains the semantic structure behind the text. It determines the difference between a person, place, activity or topic and connects the dots to reveal patterns. It works effectively on even the most extensive collections of structured and unstructured documents.

ayfie Inspector reads like a human — only a million times faster. It performs at lightning speed in ayfie’s easy-to-use interface and is easily accessed through the Relativity App Hub or in alliance with our partners.

Learn how ayfie Inspector can support you with valuable Content Insights.

More about ayfie Inspector

ayfie Inspector collects documents from almost any conventional storage system or application including cloud storage, ECM repositories, information stored in CRM systems, and legacy databases. Documents can be easily pushed through an API. After it is collected, the data is converted into a standard text representation while retaining its metadata and structural information. 

ayfie benefits from over ten years of experience in the enterprise search market where connecting to many different systems including content management systems and email servers are the key to success. Over 80 connectors are available and can be extended using a robust SDK. Inspector extracts text and metadata from all popular document formats. It even collects text in images using optical character recognition (OCR) technology.

Traditional text analytics platforms treat words like mere symbols; ayfie Inspector understands their underlying context and meaning.

ayfie Inspector enriches text by applying large dictionaries and local grammars that classify information about semantic and syntactic properties of words. ayfie uses base forms, synonyms, spelling variants and dependency properties for all words, then finds and annotates the entire external structure that exists in documents and makes it accessible for further analysis. Traditional text analytics platforms treat words like mere symbols; ayfie Inspector understands their underlying context and meaning.

ayfie Inspector builds on more than 30 years of research compiling large-scale electronic dictionaries and other linguistic resources. It handles inflectional forms, synonyms and other phenomena (such as decomposition in Norwegian, Swedish and German) for all major European languages.

ayfie Inspector organizes unstructured content by analyzing the semantic structure inside documents. This methodology makes it more efficiently consumable for humans yet readable for machines.

“What distinguishes ayfie from all previous and current approaches to text analysis is our view of the basic elements of meaning in language. Our algorithms do not simply manipulate isolated words – which are always either strongly ambiguous or extremely vague – but complex semantic constructions which express meanings at a higher level. We apply combinations of very large semantic dictionaries that encode a lot of information about the entities mentioned in the texts together with millions of semantically typed parsing rules that know how relations are expressed syntactically. We are therefore able to extract the names of entities, the facts and the opinions expressed in the text.”

- Franz Guenthner, professor of Computational Linguistics at the Center for Information and Language Processing at the Ludwig-Maximilian-University (LMU) and Technology Advisor at ayfie Inc.

For instance, there are thousands of ways to describe the acquisition of one company by another. ayfie Inspector recognizes them all, normalizes them and makes them accessible for search, analysis and visualization.

Word inflections continuously lead to inconsistent search results on Google. This effect is of course multiplied for multi-term queries.

In the same manner, doctors use many different expressions, ranging from colloquial to very formal, in describing a patient’s condition in their notes. ayfie understands all of these variations and can map them to the correct ICD 10 code.

For dealing with structure extraction and semantics, ayfie Inspector builds on well-researched linguistic frameworks based on the works of Zelig Harris, Maurice Gross and Franz Guenthner. This strong theoretical foundation combines ayfie’s blazingly fast proprietary extraction engine and exhaustive resources in multiple languages and domains.

Because ayfie utilizes highly scalable architecture, our storage and processing capabilities are virtually endless. Inspector indexes thousands of documents for eDiscovery cases and analyzes thousands of scientific articles from the biggest publishers in the world — all at breakneck speed.

Supporting both graph-based and search-based access patterns, ayfie Inspector efficiently executes different types of algorithms on the extracted information and raw data. ayfie uses a robust architecture that scales horizontally to any content size, combining open source innovations and proprietary procedures.

ayfie uses a robust architecture that scales horizontally to any content size and combines open source innovations with proprietary procedures.

ayfie Inspector’s ability to extract and structure information from unstructured content makes the platform uniquely suited to power the most challenging knowledge discovery applications.

ayfie automatically extracts persons, locations, organizations, key phrases and many more entities out-of-the-box that are perfect pathway into the searchable content.

By aggregating extracted predicates of the same type, ayfie Inspector builds tables of events and facts in any domain required. For example, a large industrial manufacturer uses ayfie Inspector to analyze incident reports about turbine malfunctions. Service personnel write their reports in natural language and ayfie Inspector transforms them into structured, tabular content:

Ring Position Finding Recommendation
Xla2 16 Crack Replaced
Xla3 7 Wear Smoothing

Based on the tables created by ayfie Inspector, the manufacturing company can now precisely answer questions including:

"Which part failed most often because of outside heat?"

"Which malfunction is the most likely for a certain class of parts?"

"Which environmental conditions are the most detrimental to the overall reliability of the component?"

This means all free-text service reports and even historical texts are analyzed rigidly — a process once impossible without time-consuming and expensive data transformation projects.

ayfie Inspector optimizes the training process by breaking the text into tokens, finding the boundaries of sentences, dealing with synonyms and inflectional forms and extracting salient phrases and entities. This process produces a more refined form of content than mere tokenization.

Thanks to this structure, learning algorithms can process data more efficiently by looking for patterns and trends. For instance, clustering and categorization yield higher precision when ayfie Inspector’s structured representation of the text is used instead of simple token vectors. This process produces a higher gain in accuracy than using a better learning algorithm on the unstructured text. 

ayfie comes with a wide range of data visualization and analysis tools. It also integrates with third-party business intelligence (BI) platforms.

ayfie solves business problems with advanced text analytics that leverage natural language processing, guided machine learning, linguistic analysis and years of experience. 

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