Build Trust at Every Transaction
Veefin's AI processes 200+ risk signals instantly detecting deepfakes, verifying documents, analyzing behavior patterns, and predicting defaults—all in real-time. Fast enough for digital lending. Smart enough to catch sophisticated fraud.
Industry-leading video KYC fraud prevention that detects sophisticated deepfakes and presentation attacks in real-time, protecting against identity theft.
Comprehensive suite covering identity, documents, financial data, and alternative data sources for complete risk assessment.
ML models analyze patterns across 6-8 months of data to predict defaults before they happen, enabling proactive intervention.
Unified view combining traditional and alternative data sources including GST, telco patterns, delivery data, and behavioral analytics.
Advanced voice recognition technology for secure authentication and fraud prevention during customer interactions.
Configure complex fraud rules and risk policies without IT dependency, adapting to emerging threats in real-time.
Our AI-powered document verification engine analyzes authenticity, detects tampering, and prevents fraud before it enters your system.
Advanced ML algorithms analyze document patterns, security features, and metadata to instantly identify forged or tampered documents. Covers 50+ document types including Aadhaar, PAN, passports, and financial statements.
Industry-first deepfake detection in Video KYC using proprietary AI models trained on millions of fraud attempts. Detects presentation attacks, synthetic faces, and video injection with 99.8% accuracy.
Extract data from documents with 98% accuracy while simultaneously validating format, checksums, and cross-referencing with issuing databases.
Multi-layered identity verification that goes beyond basic KYC to provide comprehensive background intelligence.
Analyze 2 years of GST filings to understand business health, compliance patterns, state-wise performance, and supplier-buyer networks. Both consented and non-consented data analysis available.
Raw telco data reveals stability indicators, usage patterns, payment behaviors, and network quality. Identify location stability and communication patterns.
Analyze delivery patterns from Swiggy, Zomato, and Zepto to verify addresses. If someone orders to the same location 22 out of 30 days, that's likely their actual residence.
IP address verification, device fingerprinting, app usage patterns, and online behavior analysis to detect synthetic identities and fraud rings.
Analyze spending patterns, merchant preferences, transaction timing, and payment methods to build comprehensive risk profiles.
Verify business relationships, professional connections, and social signals to validate identity claims and assess reputation risk.
Our AI-driven early warning system identifies risks 6-8 months before traditional indicators, enabling proactive portfolio management.
Proprietary ML models analyze hundreds of behavioral indicators to predict delinquency probability. Achieve 85% accuracy in identifying future NPAs before first default.
Real-time risk scores that adapt based on changing customer behavior, market conditions, and portfolio performance. Scores update with every new data point.
Segment-wise risk distribution, cohort analysis, vintage performance tracking, and stress testing capabilities for comprehensive portfolio management.
Configure automatic actions based on risk thresholds—from enhanced monitoring to credit limit adjustments and collection prioritization.
200+ RESTful APIs with 99.9% uptime SLA, sub-second response times, and comprehensive documentation
Business users can create and modify risk rules, scorecards, and workflows without IT involvement
Process thousands of verifications per second with intelligent caching and parallel processing
ISO 27001 and SOC 2 certified with built-in audit trails, data encryption, and privacy controls
Connect your cash management platform with your broader financial technology ecosystem through our flexible integration framework.
