PayShield
A fintech company providing identity verification and fraud prevention services to 1,200 digital-first financial institutions processing 8 million KYC checks per month.
The Challenge
Sophisticated fraud rings were submitting doctored identity documents that passed PayShield's existing OCR-plus-rules system. Synthetic IDs combining real and fabricated data evaded detection 28% of the time. Each missed fraud case cost an average of $47,000 in losses for PayShield's clients. The company was also struggling with high false-positive rates (19%), creating friction for legitimate customers.
The Solution
Mixpeek's multimodal analysis examines identity documents holistically: visual authenticity signals (microprint, hologram reflections, font consistency), document layout conformance, data field cross-validation, and facial embedding comparison against selfie verification. The feature extractors capture signals invisible to OCR-only approaches, like subtle pixel-level manipulation artifacts or inconsistent lighting across document regions.
Implementation
PayShield integrated Mixpeek's inference API into their verification pipeline as a secondary analysis layer. Documents flagged by the initial check are routed to Mixpeek for deep multimodal analysis. The system processes each document in under 800ms, well within PayShield's 3-second SLA. Training data from confirmed fraud cases is used to continuously improve detection models through a feedback collection.
Results
Fraud Detection Rate
False Positive Rate
Avg. Fraud Loss per Client (monthly)
Verification Throughput
Client Satisfaction (CSAT)
"The multimodal approach catches manipulation artifacts that are literally invisible to the human eye. Our fraud detection has never been more accurate, and our false positive rate has never been lower."
Samira Noorani
VP of Engineering, PayShield
Mixpeek Components Used
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