Build the training data your AI applications need

A cognitive analytics platform that generates labelled data automatically and at scale

What we offer

long text classifiers & context models for your AI

Classifies Phrases as Business Terms, Data Elements, Reports, Systems, Policies based on their contextual usage.

Discovers Contexts and associated connections inclusive of similarly expressed contents.

Custom classification scheme allows discovery of key-entity types such as Risk Metrics, Type of Entity, Product Type, Regulation, etc.

Our un-supervised learning system allows business users to build use case specific entity extraction models which go
beyond rule-based RegEx and Core NLP based classification schemes.

Discovers Contexts/Topics/Themes which are representative of the broader content within a document.

Establishes linkage among paragraphs of different documents with similar meaning.

Custom entity classification schemes enable analysis of unstructured data in your domain

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Enables users to contextually search textual content and/or documents most relevant to their needs.

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Discovers risk signals or investment themes present in public news relating to a borrower or a company.

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Machine-assisted comprehension enables readers to contextually analyze a document without the need for manual reading.

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Reads textual descriptions to discover the relationship between business terms and technical metadata

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Contextually compare a paragraph within a document to paragraphs that are semantically similar in other documents.

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Texts from domain documents are converted into an ontology and processed thru a reasoner to extract knowledge models.

Parabole offers you a suite of document analytics solutions to assist SME’s by reducing the time they spend searching, reading, and researching.
Domain coverage includes financial risk, non-financial risk, cybersecurity risk, regulations, financial research, related contents.