In a step toward making digital payments smarter and more accessible, NPCI has unveiled a new AI-driven initiative tailored specifically for India’s financial systems.
NPCI has introduced FiMI, a domain-specific large language model built for India’s payments ecosystem. The announcement was made at the India AI Impact Summit 2026. FiMI powers a new UPI Help Assistant designed to answer user questions, resolve disputes, and manage grievances across multiple languages, including English, Hindi, Hinglish, Telugu, and Bengali.
FiMI has been trained on around 68 billion tokens. The training data includes curated financial content, multilingual datasets in English, Hindi, and Hinglish, as well as synthetic data, developed across multiple training stages. This approach enables the model to understand real banking workflows and regulations, allowing it to assist with tasks such as UPI mandates and issue resolution without confusion. Support for additional Indian languages is also planned.
Due to its finance-focused training, FiMI performs better on complex payment-related queries when compared to general-purpose AI models. It has demonstrated a 20% improvement in finance reasoning over the Mistral Small 24B Base model and has shown strong performance in tool-calling tasks. The model is built specifically to address the unique needs of India’s digital payments landscape.
With FiMI, NPCI aims to improve user support within the UPI ecosystem by combining deep financial context with multilingual capabilities, making payment-related assistance more efficient and user-friendly.
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