Razorpay Launches AI Model for Payments Built With NVIDIA and AWS
What's happening
Razorpay has launched Vulcan, an AI foundation model for payments built with NVIDIA GPUs and AWS, trained on nearly three trillion data points drawn from about four billion payments. Vulcan analyzes roughly 3,000 signals per transaction to support routing, fraud detection, risk assessment and checkout personalization, with the goal of reducing failed transactions and strengthening fraud detection. Razorpay positions Vulcan as a single system to replace separate models for fraud, payment routing and checkout by learning payment behaviour across its wider Indian payments network.
Why it's trending
Payments players are racing to redesign rails and decisioning as transactions shift toward AI-initiated commerce and machine-driven flows.
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Building one giant model for everything a payments stack does sounds efficient, but it also concentrates a lot of operational risk in one place, here is why Vulcan could be a single point of failure for Razorpay's network.
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Original sources7
- Razorpay creates Vulcan AI for India’s payments network
Razorpay wants to replace separate AI models for fraud, payment routing and checkout with one system that can learn how payments behave across its wider network. Razorpay has launched Vulcan, an AI foundation model made specifically for India’s payments ecosystem. The company says Vulcan has created “a vocabulary for how Indians transact”, allowing it to […]
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