Maximum privacy
Biometrics that meet the most demanding data protection regulations, such as the GDPR.
Multibiometric
Fingerprint, iris, and facial recognition algorithms.
Multiple platforms
Available for cloud computing, edge computing, centralized servers, and on-device/embedded systems.
Integration
Algorithms designed for effortless integration and use by any software.
100% Data Protection Compliant Biometrics
Data protection regulations increasingly restrict how personal information can be collected and stored, even though that information is often essential for accessing critical services. Under the GDPR, the European Union’s data protection law and the strictest in the world, biometric data is classified as a sensitive, special category of data. The same is true, in similar terms, of regulations in the U.S. (HIPAA, BIPA, CCPA) and, to a lesser extent, in other countries.
Homomorphic encryption
Biometric data is never decrypted, not even during processing.
Anonymization
Federated Learning
Backed by Spain’s Most Important R&D Institution
The scope and ambition of Verázial ID Core, along with VERAZIAL LABS’ high technological level of technological execution, have been recognized by CDTI (Center for Technological Development and Innovation), Spain’s leading entity supporting R&D The project was awarded funding under the PID (R&D project) framework titled “NEXT-GENERATION BIOMETRIC IDENTIFICATION: MAXIMUM SECURITY AND PRIVACY THROUGH HOMOMORPHIC ENCRYPTION, ANONYMIZATION, AND DECENTRALIZED AI,” known by its acronym “PRIVACY BIOMETRICS.”
The project has a total budget of €695,000, of which €591,000 is provided by CDTI as a preferential loan backed by the European Regional Development Fund (ERDF).
Available in 2027
The project is progressing successfully across two phases:
Phase 1
by 31/03/2026
Research, implementation, and functional testing of homomorphic encryption algorithms, data anonymization techniques, and biometric-tailored machine learning models.
Phase 2
by 31/05/2027
Optimization of the Fully Homomorphic Encryption (FHE) algorithms, biometric machine learning models, and data anonymization techniques. Implementation of Federated Learning within a decentralized architecture. NIST and IEEE 2410 standard certifications.
Final functional testing, validation, model and algorithms certifications, and production rollout.
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Legal information
We inform you that VERAZIAL LABS SL is responsible for your personal data, which will be processed for the purpose of managing and processing your request, as well as receiving commercial communications about news, products and services, based on your consent. The personal data collected will be transferred, when necessary, for the development, fulfilment and control of the services requested or contracted and as provided for by law. You may exercise your data protection rights at gdpr@verazial.com.