Oz Biometry vs. Incognia
A side-by-side comparison based on G2 review data.
| Metric | Oz Biometry | Incognia |
|---|---|---|
| Overall rating | 4.7 | 4.9 |
| Review count | 16 | 37 |
| Ease of use | 9.8 | 9.6 |
| Ease of setup | 9.0 | 9.4 |
| Quality of support | 9.8 | 10.0 |
| Meets requirements | 9.6 | 9.6 |
| NPS | 68.75 | 97.297297 |
| Small Business | 50.0% | 11.4% |
| Mid-Market | 37.5% | 31.4% |
| Enterprise | 12.5% | 57.1% |
| Total page views | 55 | 832 |
| Total LLM citations | 34 | 4,196 |
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).
Incognia
Incognia is the innovator of next-generation identity solutions that enable secure and seamless digital experiences. With its persistent device fingerprint solution, Incognia combines best-in-class device recognition signals, location analysis and tamper detection for frictionless user verification and fraud prevention. Incognia’s customizable risk assessment and actionable insights empower companies in food delivery, ride-hailing, marketplace, and financial services to protect their reputation, retention and revenue. For more information, visit Incognia.com.
- Customer Support
- Service Quality
- Fraud Prevention
- Security
- Reliability
- Customer Focus