Razorpay's Vulcan AI Model Enhances Payment Success and Fraud Detection
Razorpay's Vulcan, a transformer-based AI model trained on 3 trillion data points from 4 billion payments, has improved payment processing by enhancing routing, fraud detection, and risk decisions in real time. Early results show an 8-10% increase in payment success rates, eightfold reduction in international card fraud, and fivefold rise in identifying fraudulent transactions without more alerts. The model also boosts UPI app visibility, aiding 100,000 to 200,000 additional monthly purchases, addressing India's complex payments landscape with multiple methods and gateways.
First-hand measurement across 2 sources
We measured how 2 outlets covered this story. No outlet gave this story a measurable political slant — there is no left–right reading to report. Overall sentiment is positive (76/100). Lens Score 35/100.
Outlets measured: businessstandard, thetribune. See how each one headlined and framed the same story in the source comparison below.
AI Analysis
Sentiment was consistent across outlets (75–78/100), indicating broadly factual reporting rather than editorialising.
Coverage timeline
thetribune broke this story on 13 Nov, 06:53 am. Other outlets followed.