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What is PaperEntry?

The PaperEntry Platform is a cutting-edge AI-powered tool designed for efficiently capturing data from documents, allowing organizations to enhance their data entry workflows by eliminating reliance on manual labor. It proficiently manages a range of document types and can retrieve files from emails, shared drives, and through various API connections. Central to PaperEntry is its advanced artificial intelligence, which streamlines the extraction of essential information from documents. When verification is necessary, a human validator can swiftly review the data using the platform's built-in validation features, after which the confirmed information can be sent to a client or a processing engine for further digital improvements. In the end, the data—whether it has been extracted, validated, or refined—can be smoothly integrated into multiple systems like ERP (Enterprise Resource Planning), TMS (Transport Management System), or AP (Accounts Payable). This intricate process is visually illustrated in the accompanying diagram, highlighting the platform's effectiveness. Furthermore, the system's flexibility to meet diverse business demands establishes it as a valuable asset in document management. Its adaptability ensures that organizations can tailor the platform to fit their unique operational requirements.

What is GlobIQ?

GlobIQ Data Collection acts as the essential first step in the digital transformation journey for telecommunications and utility companies, enabling them to develop accurate digital representations of their networks. By acquiring high-quality data through field surveys, existing documentation, and a range of digital platforms, it facilitates the efficient digitization of widely distributed network assets, leveraging AI/ML technologies to identify objects and their attributes. This system advances intelligent document categorization and data extraction via iDoc while utilizing FME to support the seamless migration and validation of data from various digital sources. Throughout the digitization process, we ensure that you have access to the collected data and the necessary tools to keep your network model up-to-date. Consequently, the digital transformation of vital business operations will become not only faster but also more cost-effective. Furthermore, the process of extracting information from outdated paper documents can be laborious and susceptible to errors, particularly because networks comprise many geographically dispersed components. Ultimately, a well-structured data collection approach can greatly enhance operational efficiency and improve decision-making capabilities. In this rapidly evolving digital landscape, organizations that prioritize data collection will find themselves better equipped to adapt to future challenges.

Media

Media

Integrations Supported

AscendTMS
Blue Yonder Transportation Management
Box
CargoWise
FreshBooks
Google Drive
LoadMaster
Microsoft OneDrive
Oracle Transportation Management
QuickBooks Online
QuickBooks Online Advanced
Sage Intacct
Xero
Zoho Books

Integrations Supported

Google Sheets
Microsoft Excel
iDoc

API Availability

API Availability

Pricing Information

Contact Deep Cognition for pricing details

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Deep Cognition

Date Founded

2017

Company Location

United States

Company Website

deepcognition.ai

Company Facts

Organization Name

Globema

Date Founded

1997

Company Location

Poland

Company Website

www.globema.com/globiq/data-collection/

Categories and Features

Artificial Intelligence

Predictive Analytics

Data Entry

Not specified

Data Extraction

Not specified

Categories and Features

Data Collection

Not specified

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