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What is Viacryp?

Explore the benefits of engaging a Trusted Third Party (TTP) for the careful pseudonymization of personal data, which allows you to perform data analysis in line with GDPR standards. Our core service is centered on the pseudonymization of personal information, employing methods that create irreversible pseudonyms while also improving behavioral data. The pseudonymized dataset becomes the basis for further processing by our clients. Moreover, our filtering service facilitates the responsible sharing of personal data, ensuring privacy is upheld throughout the entire operation. We meticulously filter data through a well-managed pseudonymized whitelist, ensuring that only information related to individuals on this list is disseminated. In addition, Viacryp offers specialized privacy consultations aimed at protecting and securing personal data. Working alongside our partners, we provide insights into the essential actions organizations must take to achieve GDPR compliance, addressing both technical solutions and necessary organizational practices. By emphasizing these compliance strategies, businesses can significantly improve their data protection efforts while fostering trust with their clients and stakeholders. Ultimately, this approach not only secures personal data but also promotes responsible data management practices.

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.

Media

Media

No images available

Integrations Supported

ECP

Integrations Supported

ChatGPT
Claude
Claude for Legal
Gemini

API Availability

API Availability

Pricing Information

Pricing not provided

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.

Supported Platforms

SaaS

Supported Platforms

Windows
Mac
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Viacryp

Date Founded

2013

Company Location

Netherlands

Company Website

www.viacryp.nl/

Company Facts

Organization Name

SYTEWEB

Date Founded

2025

Company Location

Belgium

Company Website

nymetra.fr

Categories and Features

Data Masking

Not specified

Categories and Features

Data Masking

Not specified

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