Biometric identity platform for secure access and fraud prevention
Veridas builds a biometric identity platform (face, voice, document verification) that combines NIST-validated algorithms with EU-grade privacy compliance. The tech stack—Python, Java, Kotlin, React, AWS, Docker, OpenCV—reflects a mature ML + mobile-first architecture; current adoption of Kotlin Multiplatform suggests a push toward cross-platform mobile efficiency. Active projects centered on international expansion and service mesh design, paired with hiring across product, engineering, and support, indicate scaling from a regional (EU) player into a global identity provider.
Veridas is a biometric identity and fraud-prevention company founded in 2017 and headquartered in Pamplona, Spain. The company serves 250 customers across 25 countries, primarily in banking, retail, government, and contact centers. Their core technology performs remote and in-person identity verification through face and voice biometrics, document verification, and KYC/AML screening. Veridas markets compliance and privacy as differentiators: the platform is designed to meet emerging EU data protection regulations, positioning it for regulated verticals. The company is privately held with 201–500 employees.
Veridas uses Python, Java, Kotlin, React, and AWS as core infrastructure. Frontend spans React, Angular, Vue, and mobile frameworks (Swift, Kotlin, Objective-C). DevOps includes Docker, GitLab CI/CD, and Linux. Computer vision is powered by OpenCV.
Veridas serves 250 customers across 25 countries as of the profile date. Primary verticals include banking, retail, government agencies, and contact centers, concentrated in Europe.
Veridas has 11 active roles with decelerating hiring velocity. Open positions span product (4), engineering (3), support (2), and sales (1). Hiring is active in Spain, Mexico, and Canada.
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