Oz Biometry vs. Jumio
A side-by-side comparison based on G2 review data.
| Metric | Oz Biometry | Jumio |
|---|---|---|
| Overall rating | 4.7 | 4.0 |
| Review count | 16 | 43 |
| Ease of use | 9.8 | 9.1 |
| Ease of setup | 9.0 | 8.2 |
| Quality of support | 9.8 | 8.8 |
| Meets requirements | 9.6 | 8.9 |
| NPS | 68.75 | 30.769231 |
| Small Business | 50.0% | 44.2% |
| Mid-Market | 37.5% | 48.8% |
| Enterprise | 12.5% | 7.0% |
| Total page views | 55 | 1,014 |
| Total LLM citations | 34 | 5,062 |
Oz Biometry
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).
Jumio
Jumio helps organizations to know and trust their customers online. From account opening to ongoing monitoring, the Jumio Platform provides AI-powered identity intelligence anchored in biometric authentication, automation and data-driven insights to accurately establish, maintain and reassert trust. Leveraging powerful automated technology including biometric screening, AI/machine learning, liveness detection and no-code orchestration with hundreds of data sources, Jumio helps to fight fraud and financial crime, onboard customers faster and meet regulatory compliance including KYC and AML.