NYMETRASYTEWEB
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Related Products
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About
Mask your personal data while ensuring it looks and acts like real data. Software development needs realistic test data. DOT Anonymizer masks your test data while ensuring its consistency, across all your data sources and DBMS. The use of personal or identifying data outside of production (development, testing, training, BI, external service providers, etc.) carries a major risk of data leak. Increasing regulations across the world require companies to anonymize/pseudonymize personal or identifying data. Anonymization enables you to retain the original data format. Your teams work with fictional but realistic data. Manage all your data sources and maintain their usability. Invoke DOT Anonymizer functions from your own applications. Consistency of anonymizations across all DBMS and platforms. Preserve relations between tables to guarantee realistic data. Anonymize all database types and files like CSV, XML, JSON, etc.
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About
NYMETRA is a Windows and macOS desktop application that prepares confidential documents for use with generative AI. It detects personal and business identifiers in supported files, then lets users review and correct results before replacing selected values with consistent pseudonyms locally. Users can send the pseudonymized content to ChatGPT, Claude or Gemini through their own provider accounts and API credentials where required. NYMETRA can restore original values locally in AI-generated responses and uses OCR to process scanned documents. It is designed for legal, accounting, notarial, financial and other professional teams handling sensitive records. Original documents and correspondence tables remain on the user's computer during normal processing; pseudonymized requests go to the selected AI provider. Licenses are available for individual users, teams and larger organizations.
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Teams searching for a solution to mask their personal data and prevent data leak risks
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Audience
Law firms, lawyers, legal departments, consultants, regulated professionals, and businesses handling sensitive or confidential information who want to use generative AI while maintaining control over their data.
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Pricing
€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.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationDOT Anonymizer
United States
www.acadsoftware.com/dot/
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Company InformationSYTEWEB
Founded: 2025
Belgium
nymetra.fr
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Azure Cosmos DB
Supported
ChatGPT
Not Supported
Claude
Not Supported
Claude for Legal
Not Supported
Couchbase
Supported
Elasticsearch
Supported
Gemini
Not Supported
H2
Supported
IBM Db2
Supported
IBM Informix
Supported
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Integrations
Azure Cosmos DB
Not Supported
ChatGPT
Supported
Claude
Supported
Claude for Legal
Supported
Couchbase
Not Supported
Elasticsearch
Not Supported
Gemini
Supported
H2
Not Supported
IBM Db2
Not Supported
IBM Informix
Not Supported
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