Replace sensitive information with synthetic data, tokenization or asterisks using Nymiz. This eliminates the possibility of compromising data privacy while maintaining the usability and context of the data, making it suitable for data sharing and machine learning applications
Nymiz’s platform provides various workflows, both reversible and irreversible, including anonymization and pseudonymization. It also offers substitution methods like tokenization and synthetic data replacement to anonymize or redact data, tailored to the specific use case and the final goals of your organization.
Large Language Models (LLMs) like ChatGPT can be safely used with the help of Nymiz. Our solution allows organizations to substitute sensitive information in databases and documents with synthetic data. Nymiz makes sure that anonymized files can be securely shared with LLMs for data analysis, machine learning and more.
Nymiz identifies, anonymizes, and substitutes personal information in 102 languages, allowing you to safeguard client data, gain valuable insights, and comply with privacy regulations such as GDPR, CPRA, HIPAA, and others.
We create specific solutions tailored to your organization’s needs for data anonymization and redaction
Proyecto DAIWo: DISTRIBUTED ARTIFICIAL INTELLIGENCE WORKFLOW (ZL-2024/00040)
Financiado por el programa de ayudas HAZITEK 2024 del Departamento de Industria, Transición Energética y Sostenibilidad del Gobierno Vasco y de la Unión Europea (FEDER).
