Challenges with Existing Solutions
- Low face match accuracy results in increased manual reviews, false rejection rates, false acceptance rates, & operational costs.
- AI not trained in diverse facial variation might not be sensitive to minute facial changes and can result in low accuracy.
- Active liveness that requires user to record 2-3 sec video causing user drop-offs.
- Outsourced solutions may lack the agility to promptly update against the latest fraud tactics, resulting in dependencies and slower responsiveness to your evolving needs.
What We Offer
- Face Match: This module includes face match between ID and selfie and picture quality checks. HyperVerge’s proprietary software has the industry's best accuracy for face match & liveness accuracy.
- Passive Liveness: Accurate liveness detection with a single selfie, eliminating complex gestures.
- Face Quality Checks: Real-time detection of blur, masked faces, multiple faces, closed eyes, no face, etc.
Input and Output
Integration Made Easy
Build End-to-end Journeys with HyperVerge ONE
Build end-to-end financial product onboarding journeys with ease
Configure user onboarding workflows and UI/UX without code.
Set automated fallback options to prevent user drop-offs during downtimes
Get analytics on conversion rates and optimize the friction points
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Visit Page >Frequently
asked questions
What is liveness?
What is passive liveness?
Liveness is important for which industries?
