Oz Biometry vs. Corbado
A side-by-side comparison based on G2 review data.
| Metric | Oz Biometry | Corbado |
|---|---|---|
| Overall rating | 4.7 | 4.8 |
| Review count | 16 | 11 |
| Ease of use | 9.8 | 9.7 |
| Ease of setup | 9.0 | 9.7 |
| Quality of support | 9.8 | 9.7 |
| Meets requirements | 9.6 | 9.9 |
| NPS | 68.75 | 90.909091 |
| Small Business | 50.0% | 81.8% |
| Mid-Market | 37.5% | 9.1% |
| Enterprise | 12.5% | 9.1% |
| Total page views | 55 | 132 |
| Total LLM citations | 34 | 122 |
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).
Corbado
Corbado is the passkey intelligence platform for enterprise CIAM teams running consumer authentication at scale. The platform answers the three questions every passkey rollout faces: why is adoption flat, what's breaking logins, and how do we scale passkeys across millions of users without replacing the IDP. Two products sit on the platform. Corbado Connect ships managed passkeys with analytics built in: SDKs, UI components, backend infrastructure, gradual rollout controls and funnel analytics in one product, for teams that want faster time-to-passkeys with analytics from day one.
- Ease of Use
- Implementation Ease
- Password Management
- Authentication
- Passwordless Authentication
- Biometric Authentication