Razorpay launched Vulcan, a new AI model made for digital payments. According to reports, the AI model is trained on nearly 3 trillion data points spanning 4 billion payments on its network. Notably, the model is built on NVIDIA GPUs and AWS cloud infrastructure to improve payment routing, fraud detection, risk assessment, and checkout personalization. Vulcan checks thousands of signals during a transaction. This gives it a wider view of what is happening with a payment.
During the launch, the company claimed that it tested early components of the model on live transactions across its network and, impressively, reported an 8–10% improvement in payment success. Sometimes, a single payment may not look suspicious on its own, but things can change when several signals are checked together. Vulcan is built to find these patterns by analyzing payment activity and user behavior to spot signs of fraud. The model can then help payment systems flag risky transactions faster.
The model learns from huge amounts of payment data. Thus, it recognizes patterns linked to suspicious activity. The aim is not only to catch fraud but also to avoid wrongly stopping genuine payments. Vulcan shows how quickly AI is becoming part of India's digital payment system. Razorpay can use the model to study payment behavior at a scale that would be difficult to handle manually.
For businesses, better fraud detection can mean fewer losses. For customers, it could mean safer online payments. Vulcan is still in its early stages, but its focus is clear: use AI to make digital transactions more secure.