Blog
Engineering guides, KYC best practices, and product updates from the Quantilence team.
Identity Verification in 2026: Five Trends Shaping the Year Ahead
How generative AI, tightening biometric regulation, and event-driven architectures are reshaping identity verification, fraud prevention, and document processing in 2026.
Biometric Data Compliance: GDPR, BIPA, and CCPA for Engineering Teams
A practical comparison of how GDPR, Illinois's BIPA, and California's CCPA/CPRA regulate facial and biometric data — and the one engineering checklist that satisfies all three.
1:1 Face Matching: How Selfie-to-ID Verification Actually Works
How face similarity APIs compare a selfie to an ID photo, what a sim_score really means, and how to set thresholds that balance fraud risk against user friction.
1:N Face Search at Scale: How Face Recognition Finds a Match in Millions
How 1:N face recognition pipelines turn a face into a searchable vector and rank candidate matches across millions of identities — architecture, code, and accuracy benchmarks.
How Modern OCR Works: From Pixels to Structured Text
How classical OCR and vision-model OCR actually differ, where each one breaks down, and which of the two Quantilence runs — with the tradeoff stated plainly.
Face Anonymization and GDPR: What Engineers Need to Know
GDPR classifies facial images as biometric data. This post covers the technical and legal requirements for face anonymization in data pipelines.