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What is NYMETRA?

NYMETRA is a versatile desktop application designed for both Windows and macOS platforms, aimed at aiding the creation of confidential documents specifically for generative AI tools. This software effectively detects both personal and corporate identifiers within supported files, allowing users to review and modify these elements before replacing selected values with consistent pseudonyms on their personal devices. Users can seamlessly send the pseudonymized data to AI models, including ChatGPT, Claude, or Gemini, by using their respective provider accounts along with the required API credentials. Moreover, NYMETRA can revert the original values in the responses produced by AI and utilizes OCR technology to process scanned documents. This application is particularly beneficial for legal, accounting, notarial, financial, and other professional teams that handle sensitive information. During processing, the original documents and any mapping tables are securely kept on the user's device, ensuring that only the pseudonymized requests are forwarded to the selected AI service. Licenses for NYMETRA are available for individual users, collaborative groups, or larger enterprises, making it accessible for a diverse range of users. Furthermore, its strong focus on data privacy positions it as an indispensable tool for professionals who need to protect sensitive records while harnessing the power of AI technologies. As the landscape of data protection continues to evolve, NYMETRA stands out as a critical resource for maintaining confidentiality in a digital age.

What is Doculayer?

Forget the tedious tasks of manual content classification and data entry, as Doculayer.ai offers a customizable workflow that encompasses a range of document processing services, including OCR, document type and topic classification, along with data extraction and masking. With its user-friendly interface, Doculayer.ai empowers business users to efficiently label documents and data, enhancing their learning and training processes. The platform employs a hybrid data extraction method, integrating machine learning models with established patterns, rules, and library scripts to achieve superior outcomes in a shorter time frame. Additionally, data masking is available to help anonymize or pseudonymize sensitive information within documents. By incorporating Doculayer.ai into your Content Services Platform and Business Process Management systems, you can significantly enhance document intelligence. Furthermore, this innovative solution enables your existing IT infrastructure to be supplemented with advanced technologies such as machine learning, natural language processing, and computer vision, all aimed at streamlining document processing. Ultimately, adopting Doculayer.ai can transform the way organizations manage their documents and data workflows.

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Integrations Supported

ChatGPT
Claude
Claude for Legal
Gemini

Integrations Supported

API Availability

API Availability

Pricing Information

€590 one-time
The Solo license is €590 excluding VAT as a one-time purchase for one user and two devices. It includes 12 months of Basic service; renewal is optional at €120 per year excluding VAT. Premium service renewal is €240 per year excluding VAT. AI provider charges are separate.

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

Windows
Mac
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

SYTEWEB

Date Founded

2025

Company Location

Belgium

Company Website

nymetra.fr

Company Facts

Organization Name

Doculayer

Date Founded

2007

Company Location

Netherlands

Company Website

www.doculayer.com/doculayer-platform

Categories and Features

Data Masking

Not specified

Categories and Features

Data Anonymization

Not specified

Data Extraction

Not specified

Data Masking

Not specified

OCR

Not specified

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