Let’s Visualize Our Scale
Trained on diverse facial variations and ID formats, our robust AI solutions have onboarded over 750 million users.
$300M+
Saved in fraud losses
~10Sec
Document Collection TAT
50%
Reduced Drop-off Rates
Financial institutions struggle
with seamless user onboarding
Time-consuming KYC onboarding
Friction in customer onboarding
Constantly changing compliance regulations
Increasing fraud occurrences
Scale globally with ease
Expand your business globally
Stay compliant when onboarding users
Maximize conversions at each step
See how it works -> See how it works -> See how it works ->Stop fraudsters right at the entry
Reduce frauds using database check, liveness, quality checks etc
Conduct deduplication to prevent repeat fraudsters
Protect brand reputation & customer trust
See how it works -> See how it works -> See how it works ->Reduce drop-Offs with instant KYC verification
Users can be verified instantly, in under 30 seconds
High straight-through processing with a market-leading, high-accuracy solution
Automated fall-back option to navigate downtimes
See how it works -> See how it works -> See how it works ->Customers love HyperVerge!
Frequently asked questions
Still have questions?
Please chat with our friendly team.
Why is KYC What is digital identity verification, and why is it crucial for the fintech industry?
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Digital identity verification is a process that confirms the identity of individuals using electronic means. In the fintech industry, it is critical for safeguarding against identity theft, fraudulent activity, and ensuring compliance with regulatory requirements. This process enhances security and customer experiences in the rapidly evolving digital financial landscape.
How does biometric authentication contribute to a frictionless onboarding experience for new users?
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Biometric authentication, utilizing unique physical or behavioral traits, streamlines the onboarding process for new users in fintech. By offering a secure and user-friendly way to verify identity, it reduces friction, enhances security, and ensures a seamless onboarding experience, promoting trust and satisfaction among customers.
What role does machine learning play in fraud prevention and ongoing monitoring for financial institutions?
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Machine learning is integral to fraud prevention and ongoing monitoring in the financial industry. Through continuous analysis of vast amounts of data, machine learning algorithms detect patterns indicative of fraudulent activity. This proactive approach allows financial institutions to identify and respond to potential risks in real-time, strengthening their risk management practices.
How can fintech solutions balance the need for security and a frictionless customer experience?
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Fintech solutions can achieve a balance between security and a frictionless customer experience by implementing advanced technologies like biometric authentication, real-time monitoring, and machine learning. These technologies enhance security measures while minimizing disruptions, providing a seamless experience for customers during onboarding and ongoing interactions.
What are the key regulatory requirements and compliance measures for fintech identity verification?
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Fintech identity verification must adhere to stringent regulatory requirements, including Anti-Money Laundering (AML) regulations. Compliance measures involve thorough customer due diligence, ongoing monitoring, and the implementation of robust security protocols. Meeting these standards not only ensures regulatory compliance but also protects consumers and fosters trust in the financial services provided.