Oz Biometry vs. Shufti

Oz Biometry - Biometric face recognition with the highest accuracy: 99.99% in NIST FRVT. Developed by Oz Forensics specialists, the biometric module incorporates the latest practices in artificial intelligence and is consistently improved by continuous data enrichment. Face recognition algorithm from Oz Forensics achieved one of the best test results in accuracy on LFW dataset in University of Massachusetts tests in 2020 MIT LFW. The Oz Biometry module allows to identify people with a speed of less than 1 second and with 99.87% accuracy (according to MIT LFW tests).

Shufti is Trust OS, the Glocal platform for identity, AML, and fraud prevention. One platform across the full customer lifecycle, so a customer’s entire risk picture lives in a single view, not ten systems: --- Onboard - “Who are we dealing with?” KYC and KYB that establish trust at the start: identity, document, face, NFC and docless verification, address verification, UBO checks and business due diligence, plus age verification, customer risk assessment, and AML screening across sanctions, PEP and RCA, watchlists and adverse media.