Oz Forensics introduced Oz Liveness Free, a trial solution with 10,000 free liveness detection transactions annually
Oz Forensics, an independent vendor of facial liveness detection and face-matching solutions, created a free of charge version of its flagman product Oz Liveness.
Oz Liveness, a solution for robust biometric security based on AI technology, is now available for a free trial. A potential user just needs to register for access to 10,000 free transactions per year.
Oz Forensics’ new freemium offer gives a unique opportunity to embrace the capabilities of the state-of-the-art liveness technologies. Moreover, the use of Oz Liveness Free is an easy way to test the solution’s applicability to the unique business needs of any organisation, especially startups, universities, accelerators, charity and social projects.
The trial version of Oz Liveness is available in two options:
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Artem Gerasimov, CEO of Oz Forensics: “At Oz Forensics, we are committed to fostering a secure digital ecosystem. Through these trial offers, we aim to empower organizations, irrespective of their size or field, to protect themselves against identity fraud. We believe in enabling all entities to bolster their biometric security, thereby contributing to a safer digital world.”
Oz Forensics invites you to explore the Oz Liveness Free option and see how the solution can enhance your organization's security. For more details or to request the license and credentials, please visit Oz Forensics website.
About Oz Forensics
Oz Forensics is an independent private vendor of robust, technology-based, and AI-powered liveness detection and face-matching solutions founded in 2017 and headquartered in Dubai, UAE. We confirm the security level of our solution by certifying the ISO-30107 Level 1 and 2 standards.
Oz Liveness is cutting-edge facial recognition and authentication software that is trusted by both private and public organizations worldwide. Oz Liveness is certified to the industry’s highest standard of testing, ISO 30107, and has 100% accuracy in detecting deepfakes and spoofing attacks.