Natural Language Processing (NLP) Software
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. The 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. Our technology identifies, anonymizes, and substitutes personal information in 102 languages, allowing you to safeguard your 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: A. SaaS B. API C. On-Premises
- Revenue
- $2.6M
- Customers
- -
- Year founded
- 2019
- Funding
- -
- Team size
- 24
- Location
- Spain
