Paytm plans to leverage GroqCloud to boost the efficiency of its AI systems, enabling faster and more accurate transaction handling, improved fraud detection, smarter risk analysis, and personalized customer interactions. This collaboration aims to strengthen the platform’s overall performance and reliability in delivering AI-driven financial services.
India’s leading digital payments platform Paytm has partnered with Groq, a US firm known for its advanced AI inference hardware. Through this collaboration, Paytm will harness the capabilities of GroqCloud to strengthen its AI infrastructure, aiming to deliver faster transactions, more precise risk evaluation, proactive fraud prevention, and improved user experiences across its ecosystem.
GroqCloud serves as Groq’s cloud platform designed to help developers and businesses execute AI inference turning trained models into actionable insights. It runs on Groq’s specialized Language Processing Units (LPUs), processors built specifically for inference tasks, offering remarkable speed and energy efficiency compared to conventional GPU-driven systems.
Narendra Singh Yadav, Paytm’s Chief Business Officer, said the company is consistently enhancing its AI capabilities to deliver quicker, smarter, and more dependable payment experiences. He added that partnering with Groq will further bolster Paytm’s technological base, unlocking the potential for real-time AI-driven operations across its platform.
He noted that this partnership enables Paytm to deploy large-scale real-time AI inference, representing a significant move toward creating India’s most advanced AI-powered payments and financial services ecosystem. At present, Paytm is integrating AI across its customer services and internal processes to enhance efficiency and user experience.
The company recently introduced India’s first AI-driven Soundbox, designed to support small and medium-sized businesses. Equipped with a built-in voice assistant, the device communicates with merchants in 11 Indian languages, providing instant updates, insights, and responses derived from their transaction data and business activity.
Merchants can interact with the device to get overviews of their daily earnings, payment patterns, and business performance effectively making it an “AI-powered business assistant.” During a live demonstration at the Global Fintech Fest earlier this year, Paytm CEO Vijay Shekhar Sharma showcased the feature by asking the Soundbox for the total payments received in a day, to which it responded instantly in the same language.
According to a report by the Economic Times earlier this year, Paytm has incorporated AI-based tools to enhance merchant onboarding, including automated quality verification, optical character recognition for images and text, and category identification from shopfront visuals. Additionally, its proprietary systems—Paytm ARMS, which offers merchant lifecycle analytics, and Paytm Pi, focused on fraud and risk management utilize AI to streamline onboarding, detect fraudulent activity, segment merchants, and optimize pricing strategies.
The report also highlighted that Paytm employs conversational AI agents to deliver customized support to users through both text and voice interactions in 11 Indian languages. In addition, Paytm integrated the AI-based search platform Perplexity into its mobile app for Android and iOS earlier this year, allowing users to ask questions and receive cited answers directly within the app’s Perplexity interface.
