01
Real-time verification
Facial recognition paired with ID document validation confirms identity in the moment, keeping legitimate users moving without manual review.
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Verifinow
A secure real-time identity verification platform using facial recognition and ID validation, with customer intelligence, KYC and fraud-prevention baked in.
Overview
Verifinow verifies that people are who they claim to be — in real time. I built a platform combining facial recognition and ID validation with customer intelligence, KYC workflows and fraud prevention, engineered for the accuracy and security that identity work demands.
The Challenge
What made it hard.
Identity verification is adversarial: the system has to be fast and frictionless for legitimate users while staying robust against spoofing and fraud.
It also operates in a compliance-heavy space — KYC obligations mean the platform must be auditable and secure, not just accurate.
Approach
How I solved it.
02
Fraud prevention built in
Customer intelligence and fraud-prevention checks run alongside verification, flagging risk before it becomes a liability.
03
KYC-ready architecture
Workflows and data handling are structured around KYC obligations so the platform satisfies compliance, not just functionality.
What I Built
Shipped in the box.
- ✓Real-time facial recognition verification
- ✓ID document validation
- ✓Customer intelligence and risk signals
- ✓KYC workflow support
- ✓Fraud-prevention checks
Outcome
Where it landed.
Real-time
Identity checks
KYC
Compliance-ready
Fraud
Prevention built in
Have something like this to build?
I build AI-native SaaS, healthcare products, marketplaces and internal platforms from first commit to launch.