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What is Nymiz?

The time spent on the manual process of data anonymization takes away from critical work responsibilities. Inaccessibility to data leads to its entrapment, causing the formation of organizational silos and hampering effective knowledge management. Moreover, there is persistent apprehension regarding the compliance of shared data with ever-evolving regulations like GDPR, CCPA, and HIPAA. Nymiz tackles these obstacles by securely anonymizing personal information through both reversible and irreversible methods. The original data is replaced with asterisks, tokens, or synthetic surrogates, thus enhancing privacy while maintaining the overall utility of the information. Our solution excels in pinpointing context-specific data, such as names, phone numbers, and social security numbers, providing better results than traditional tools that lack artificial intelligence capabilities. We also add an additional layer of security at the data level to protect against potential breaches. In essence, even anonymized or pseudonymized data can become worthless if security flaws or human errors expose it, highlighting the critical need for comprehensive protective measures. By ensuring that both privacy and security are prioritized, organizations can trust in the integrity of their data while remaining compliant with regulations.

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

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

Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Nymiz

Company Location

Spain

Company Website

www.nymiz.com

Company Facts

Organization Name

SYTEWEB

Date Founded

2025

Company Location

Belgium

Company Website

nymetra.fr

Categories and Features

AI Tools

Not specified

Data Anonymization

Not specified

Data Masking

Not specified

Categories and Features

Data Masking

Not specified

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