Oz Biometry vs. Sumsub
A side-by-side comparison based on G2 review data.
| Metric | Oz Biometry | Sumsub |
|---|---|---|
| Overall rating | 4.7 | 4.6 |
| Review count | 16 | 130 |
| Ease of use | 9.8 | 9.1 |
| Ease of setup | 9.0 | 8.9 |
| Quality of support | 9.8 | 9.1 |
| Meets requirements | 9.6 | 9.1 |
| NPS | 68.75 | 74.21875 |
| Small Business | 50.0% | 53.1% |
| Mid-Market | 37.5% | 39.1% |
| Enterprise | 12.5% | 7.8% |
| Total page views | 55 | 2,065 |
| Total LLM citations | 34 | 35,149 |
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).
Sumsub
Sumsub is the first AI-powered trust infrastructure for compliance operations at scale. By bringing together identity and business verification, fraud prevention, ongoing monitoring, and risk management in a single layer, Sumsub enables companies to streamline operations, adapt to evolving regulations, enter new markets, and grow securely. Its AI-powered compliance suite is built for online businesses, including highly regulated ones.
- Verification Efficiency
- Ease of Use
- Compliance
- Features
- Verification
- Easy Integrations