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What is DiscoverPoint?

Typically, employees spend a full day each week seeking out critical information. Imagine the transformative impact on your organization if information retrieval could be accelerated to twenty times its current speed. Such enhancement would not only reduce the frustration associated with unproductive searches but also lessen the demand on bandwidth. DiscoverPoint Viewer emerges as a cutting-edge enterprise search tool aimed at helping your team find the most relevant information faster than ever. By integrating this solution, companies can drastically reduce the time wasted on duplicating existing content, foster better collaboration within the organization, and optimize research processes by facilitating direct connections with experts in the field. Our platform delivers well-organized and prioritized search results tailored to the relevance of your queries. Furthermore, it helps to cut down on expenses related to unnecessary licensing for unsupported file types, promoting a more efficient and effective workflow. Ultimately, with DiscoverPoint Viewer, the process of retrieving knowledge is transformed into a streamlined and economical endeavor, paving the way for enhanced productivity across the board.

What is Clustify?

Clustify stands out as a robust text analysis solution that is employed in e-discovery and numerous other industries. Capable of efficiently processing millions of documents on a typical desktop computer, it offers users flexibility in document storage, allowing them to choose between a database or separate files on their hard drives. This adaptability ensures that Clustify can work harmoniously with a wide range of platforms and tools. The software supports TAR 1.0, 2.0, and the latest TAR 3.0 workflows, further increasing its functionality. One of its most notable features is real-time predictive coding, which enables users to observe the immediate impact of reviewing training documents during their work. Furthermore, Clustify includes a document clustering feature that groups together documents based on conceptual similarities, near-duplicates, or shared email threads. Founded in February 2000, Hot Neuron, the company behind Clustify, is dedicated to creating advanced technologies and services for information retrieval. The organization prides itself on innovating cutting-edge methods and algorithms designed to help users find and organize information efficiently, thereby significantly enhancing their productivity. Committed to continual improvement, Hot Neuron is always exploring new ways to advance its information management solutions and meet the evolving needs of its clientele.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

Discover Technologies

Date Founded

2009

Company Location

United States

Company Website

www.discovertechnologies.com

Company Facts

Organization Name

Hot Neuron

Company Website

www.cluster-text.com

Categories and Features

eDiscovery

Case Analytics
Compliance Management
Discussion Threads
Document Indexing
Document Tracking
Full Text Extraction
Keyword Search
Metadata Extraction
Topic Clustering

Categories and Features

eDiscovery

Case Analytics
Compliance Management
Discussion Threads
Document Indexing
Document Tracking
Full Text Extraction
Keyword Search
Metadata Extraction
Topic Clustering

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