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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 DIAdem?

DIAdem is a specialized software application that supports engineers in expediting the post-processing of measurement data with great effectiveness. Designed for the handling of large datasets, it provides users with tools that facilitate quick aggregation and targeted searches for specific information, as well as engineering-focused analytical functions, all of which can be easily shared through a user-friendly drag-and-drop report editor. Supported by DataPlugins, DIAdem is capable of processing more than a thousand distinct data file types, ensuring smooth integration into various workflows. Furthermore, users can leverage scripting options in Python or Visual Basic to automate and optimize repetitive data handling tasks, effectively converting raw measurement data into clear and actionable insights. This dynamic tool not only helps in identifying and managing measurement data to inform decision-making but also demonstrates versatility across numerous industries and application areas. By employing DIAdem to unify diverse sensor data from multiple origins, engineers can synchronize and replay data, providing a deeper insight into the behavior and performance of electromechanical systems. Ultimately, DIAdem enables users to extract valuable conclusions from their datasets, thereby boosting overall productivity and enhancing decision-making processes significantly. Its robust capabilities make it an indispensable asset for engineers striving to achieve excellence in data analysis and interpretation.

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

API Availability

API Availability

Pricing Information

Contact Deep Cognition for pricing details

Pricing Information

$666 per year
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

Deep Cognition

Date Founded

2017

Company Location

United States

Company Website

deepcognition.ai

Company Facts

Organization Name

NI

Date Founded

1976

Company Location

United States

Company Website

www.ni.com/en-us/shop/data-acquisition-and-control/application-software-for-data-acquisition-and-control-category/what-is-diadem.html

Categories and Features

Artificial Intelligence

Predictive Analytics

Data Entry

Not specified

Data Extraction

Not specified

Categories and Features

Data Management

Not specified

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