Razorpay Debuts Vulcan: India’s First AI Payments Foundation Model Powered by NVIDIA and AWS

Razorpay has launched Vulcan, India’s first transformer-based AI foundation model specifically engineered for the payments sector. For fintech professionals, this represents a shift from fragmented machine learning models to a unified intelligence layer, aiming to eliminate transaction failures and fraud as the Indian e-commerce market targets a $350 billion valuation by 2030.

What was announced

Razorpay Vulcan is a purpose-built AI foundation model designed to enhance the reliability, safety, and predictability of digital transactions. Developed in collaboration with NVIDIA and AWS, the model leverages Razorpay’s extensive payments data, NVIDIA’s accelerated computing power, and AWS’s cloud infrastructure, specifically utilizing Amazon SageMaker. The system is designed to replace traditional, siloed machine learning models with a single, continuously learning intelligence layer that manages routing, risk assessment, and fraud detection in real-time.

The decision to build Vulcan followed an internal study of 1.5 million shoppers and over 51,000 businesses, which identified consistent friction points—such as late OTPs, failed transactions, and silent subscription lapses—across both metropolitan and rural markets. Before its official debut, components of the model were tested against 3 trillion data points on Razorpay’s network. The technology is already being utilized by major Indian enterprises, including the quick-commerce platform Blinkit, the travel booking site redBus, and Bachatt, all of which have reported improved success rates in live payment environments.

"India's appetite for digital payments is real, but it isn't universal yet - for a large part of the country, going digital still comes down to one thing: does it work, every single time? That's the customer we built this for: the one still deciding whether to trust a screen over cash in hand. An AI-led payments foundation model doesn't just solve today's problem and stop there. Every payment teaches the system something that makes the next payment better. That's what makes this feel less like a product launch, and more like the starting point for how payments in India keep getting better on their own, for years to come."

Harshil Mathur, CEO & Founder of Razorpay.

The companies involved

Razorpay is a leading omnichannel payments platform for businesses in India. It has established itself as a critical piece of the country's financial infrastructure by providing a suite of tools that allow merchants to accept, process, and disburse payments digitally. The company’s focus on the Indian market has made it a central player in the nation's transition away from cash-heavy commerce.

NVIDIA is a global leader in accelerated computing and AI hardware. While traditionally known for its graphics processing units (GPUs), the company has become the backbone of the global AI revolution, providing the specialized chips necessary to train and run large-scale foundation models like Vulcan. AWS (Amazon Web Services), a subsidiary of Amazon, is the world’s most comprehensive and broadly adopted cloud platform. Through services like Amazon SageMaker, AWS provides the scalable infrastructure and machine learning tools that allow fintech firms to deploy complex AI models at an enterprise scale. The collaboration also involves prominent Indian digital brands such as Blinkit and redBus, which serve as early adopters and beneficiaries of the new AI-driven payment architecture.

What this means

This move signals a significant maturation of the Indian fintech ecosystem. By moving away from reactive, fragmented software and toward a proactive "foundation model" approach, Razorpay is attempting to solve the last-mile trust issues that plague digital payments in emerging markets. The involvement of NVIDIA and AWS suggests that generic cloud computing is no longer sufficient for high-stakes financial flows; instead, specialized AI hardware and semantic layers are becoming the new standard. Competitors in the Indian payment gateway space will now be under immense pressure to prove their own AI credentials or risk being viewed as legacy infrastructure. Watch for whether this model can significantly reduce the "cash-on-delivery" preference that still dominates much of Indian e-commerce.