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What is InfoNgen?

InfoNgen serves as an advanced text analytics and sentiment analysis platform that efficiently reveals actionable insights from vast amounts of information. By streamlining the process of making strategic decisions, teams can focus on sharing, analyzing, and disseminating only the most essential insights derived from both structured and unstructured data. With its innovative tools for sentiment analysis and text mining, InfoNgen enables users to identify significant patterns, trends, and anomalies within their datasets. Unlike other solutions, InfoNgen uniquely integrates its specialized use cases with robust functionalities, thereby enhancing decision-making capabilities for employees and accelerating their workflow. This powerful platform acts as a vital asset for businesses seeking to locate critical information quickly, featuring pre-built industry taxonomies alongside customizable delivery options to meet diverse needs. Consequently, organizations can leverage InfoNgen not only to improve efficiency but also to stay ahead in a competitive landscape.

What is Docxonomy?

Docxonomy provides businesses with a sophisticated insight platform that facilitates the investigation and analysis of both unstructured and structured data stored across their networks, regardless of its location. By leveraging state-of-the-art artificial intelligence and machine learning, Docxonomy is capable of handling various file formats, including Office documents, PDFs, videos, audio files, and images. This platform extracts context and meaning from the data, incorporating industry-specific terminology to categorize files, identify entities, recognize similarities, and supply answers to user queries. Additionally, organizations can deploy Docxonomy either on-premises or through their chosen cloud service providers, thereby minimizing the need for extensive consultancy. The implementation is impressively quick, usually requiring only hours or days, contrasting sharply with the lengthy timelines typical of traditional solutions. Designed with specific industries in mind, our platform grants immediate access to critical insights, enabling users to optimize their drug delivery processes without facing the challenges of expensive migrations or large-scale projects. Consequently, Docxonomy not only enhances operational efficiency but also cultivates a culture centered around data-driven decision-making within organizations. This empowers companies to make informed choices based on real-time data analysis, further driving innovation and growth.

Media

Media

Integrations Supported

AWS Elemental
Adobe Acrobat
Dropbox
Google Cloud Document AI
Microsoft OneDrive
Microsoft SharePoint
Microsoft Teams
Salesforce

Integrations Supported

AWS Elemental
Adobe Acrobat
Dropbox
Google Cloud Document AI
Microsoft OneDrive
Microsoft SharePoint
Microsoft Teams
Salesforce

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

EPAM Systems

Company Location

United States

Company Website

www.epam.com

Company Facts

Organization Name

Docxonomy

Date Founded

2017

Company Location

United States

Company Website

docxonomy.com

Categories and Features

Enterprise Search

AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery

Insight Engines

AI / Machine Learning
Augmented Analytics
Data Aggregation
Data Classification
Data Extraction
Data Source Connectors
Full Text Search
Intent Recognition
Multiple Data Sources
Search / Filter
Sentiment Analysis

Categories and Features

Enterprise Search

AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery

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