IntelligenteKYC&Identity Verification
From document capture to risk scoring in seconds. AI verifies identities, reads documents, matches faces, and routes decisions — eliminating manual bottlenecks in customer onboarding.
See eKYC AI in Action
Explore the interactive verification interface — document scanning, face matching, data extraction, risk assessment, and income verification for loan applications all in one platform.
How It Works — Technical Architecture
A 6-stage AI pipeline from document capture to decision. Each stage uses specialized AI models for enterprise-grade accuracy and speed.
Document Capture
Guided capture UI with real-time quality assessment. Auto-crop, glare detection, and blur detection ensure clean inputs.
MobileNet-based quality classifier running on-device. Auto-crop via edge detection (Canny). Glare detection through specular highlight analysis. Minimum 200 DPI enforcement for OCR accuracy.
OCR Extraction
Hybrid OCR with LLM post-processing extracts structured data from 50+ document types — KTP, passport, driving license, and more.
State-of-the-art VLM/LLM pipeline: GPT series, Gemini, Seed, Claude, and other leading vision models for document understanding and semantic field extraction. Models are dynamically selected per document type for maximum accuracy. Handles multi-script text (Latin, Chinese, Thai, Arabic) natively. 97%+ field-level accuracy — no traditional OCR engine required.
Face Verification
1:1 face matching using deep metric learning. Anti-spoofing liveness detection prevents photo/video attacks.
ArcFace architecture for face embedding and matching. Anti-spoofing via texture analysis (LBP descriptors) and 3D depth estimation. FAR < 0.001%, FRR < 1%. ISO 30107-3 compliant liveness detection.
Data Cross-Validation
Extracted fields cross-checked against user-submitted data. Fuzzy matching handles transliteration and format differences.
Levenshtein distance for fuzzy name matching across transliteration variants (e.g., Muhammad / Mohammad). Date format normalization across ID types. Address validation via geocoding API. Duplicate detection across application database.
Risk Scoring
Ensemble model combining document authenticity, face match confidence, data consistency, and behavioral signals.
Weighted ensemble: document authenticity score (forgery detection via pixel analysis) + face match confidence + data consistency index + behavioral signals (time-to-complete, retake count, device fingerprint).
Decision Engine
Rule-based + ML hybrid. Auto-approve above threshold, auto-reject known fraud patterns, escalate middle band to human reviewers.
Configurable decision rules: auto-approve (confidence > 85%), auto-reject (known fraud patterns, blacklist match), escalate (60-85% confidence band). Human reviewers receive AI-generated summary with highlighted risk factors.
Proven in Production
Real deployments across APAC's fastest-growing sectors.
Electric Motorcycle Rental Platform
Mobility & FintechRiders applying for e-motorcycle rentals for Grab/Gojek delivery work needed AI-driven eKYC — verifying rider identity, reading earnings screenshots via OCR, and auto-approving qualified riders.
Digital Banking Platform
BankingEnd-to-end AI eKYC for new account opening — face match, document OCR, data validation, and risk scoring with only edge cases escalated to compliance officers.
Digital Banking
New account opening with regulatory KYC — face match, document OCR, and compliance checks.
BNPL & Fintech
Real-time identity verification during checkout flow — instant credit decisions.
Telco & Insurance
SIM registration, policy onboarding, and beneficiary verification with automated KYC.
Mobility & Logistics
Rider and driver KYC for platform onboarding — ID verification and income proof.
The Business Case for AI eKYC
Quantified results from enterprise deployments across financial services, mobility, and fintech.
What took days now takes minutes. AI handles document collection, verification, and approval in a single session.
Only low-confidence and suspicious cases reach human reviewers — freeing your team for high-value work.
AI catches inconsistencies, forged documents, and anomalies that manual reviewers frequently miss.
Faster, frictionless onboarding means more completed applications and less drop-off in the funnel.
Reduced headcount, faster processing, and lower fraud losses translate to significant annual savings.
Enterprise-grade biometric verification with liveness detection exceeds regulatory accuracy thresholds.
See Before vs After Comparison
Automate Your Onboarding Workflows
See how AI eKYC can transform your customer onboarding — book a demo with real use case data.