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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 LLM Capsule?

LLM Capsule enables organizations to harness the power of AI and large language models—like ChatGPT, Claude, and Gemini—while ensuring that sensitive corporate data remains protected from unauthorized access. Unlike traditional methods of data masking or redaction that often strip away essential context and limit the effectiveness of AI, LLM Capsule enhances and encapsulates data to preserve its inherent structure, relationships, and business relevance for accurate AI analysis. This innovative solution not only secures personally identifiable information (PII) but also shields crucial business contexts—such as contracts, project identifiers, clinical terminologies, and source code—through adaptable policies that cater to specific needs. The Capsule technology ensures that only secure, contextually rich information is shared with both internal and external AI systems, while the original data is seamlessly restored upon access. Organizations can confidently comply with stringent regulations, including N2SF and ISO/IEC 27001, all while benefiting from complete audit capabilities and adaptable deployment choices, whether in a cloud environment or on-site. By leveraging LLM Capsule, teams are not just protected; they are equipped to foster innovation through AI, maintaining the essential context that informs effective decision-making processes, ultimately leading to enhanced organizational growth.

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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
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SYTEWEB

Date Founded

2025

Company Location

Belgium

Company Website

nymetra.fr

Company Facts

Organization Name

CUBIG LTD

Date Founded

2021

Company Location

United Kingdom

Company Website

cubig.ai

Categories and Features

Data Masking

Not specified

Categories and Features

Data Masking

Not specified

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