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Qint

Qint—The Data Intelligence Platform

Uncover patterns and relationships in your data.

Qint is a cloud-based data processing platform that enables users to gather meaningful insights from unstructured text. It allows you to merge the results of unstructured, text-based analytics with structured data to create a searchable index for data mining and predictive analytics.

Artificial Intelligence

Qint recognizes correlations using machine learning algorithms. New algorithm models can be trained to identify custom entities and word usage specific to your domain.

Intuitive Visualization

The dashboard in Qint presents information through intuitive graphs and charts. You can easily drill down to specifics or filter reports as needed.

Flexible Export

Qint offers the option to export crawled or analyzed documents as well as search results in multiple file formats, including CSV and XML.

Qint Data Intelligence Platform Lets You

Perform real-time statistical analysis of structured and unstructured data
Parse, tag, and categorize content to perform text analytics
Improve the recognition of entities by training custom models
Visualize correlations and patterns in large data sets

Qint in Action

Qint executes the following steps to identify mentions and relations in unstructured text.

Data Ingestion

The platform is configured to collect structured and unstructured content from documents, emails, databases, websites, and other data repositories. Data can be fed into the platform manually or at scheduled intervals using cron jobs. The platform offers a set of tools to import data from external locations and also a permanent storage for data.

Data Processing

Qint data processing engine can analyze the unstructured data in its storage and identify unique user-defined relations between entities based on the custom data models defined.

Qint provides easy-to-use user interface tools for annotating unstructured domain literature. The annotations are used to create a custom machine-learning model that understands the lingo of the domain. The model, trained on a set of domain-specific source documents, is used to find entities, relations, and coreferences in new documents.

Data Reporting and Visualization

Finally, Qint allows users to query the data through an intuitive interface. Integrated with JavaScript visualization libraries such as D3.js, the platform enables effective visualization of relationships within large and complex data sets.

Where You Can Put Qint to Use

Annotation of Medical Records

Health Informatics

Customer Service Routing

Voice of the Customer

Claims Management

Sports Trading

Warranty Analysis

Legal eDiscovery

For more details on our data intelligence platform or to customize Qint for your use case,