New Delhi: A new homegrown AI chatbot named Xanfi was launched at IIT Delhi, marking a notable development in India’s expanding generative AI landscape. Developed by Zedgo 365 Technologies Private Limited and promoted by entrepreneur Pearl Kapur, the tool is designed to provide multilingual, real-time conversational support across over 100 languages including all 22 official Indian languages.
Focus on Accessibility and Indian Languages
Unlike many existing global AI tools, Xanfi claims deeper support for Indian languages and cultural nuances. It is freely accessible via web and mobile platforms and is intended to serve a broad spectrum of users, from students and professionals to content creators.
According to the developers, the system was trained on datasets tailored to the Indian context. This enables it to handle localized queries with potentially higher accuracy than non-domestic counterparts. The move aims to reduce the linguistic and technological barriers that often limit AI accessibility in regional and rural India.
Use Cases and Functionalities
Xanfi’s design enables it to assist users with:
Content creation (e.g., writing blogs, captions, or video scripts)
Market and financial research
Legal and astrological queries
Relationship advice
AI-generated artwork inspired by Ghibli-style aesthetics
This range of functions suggests a multipurpose utility, targeting both informational and creative applications. However, its long-term accuracy and reliability across such diverse tasks remain to be independently evaluated.
Part of a Growing Shift Toward Indigenous AI
The launch of Xanfi signals a broader shift within India’s tech ecosystem—from consumer delivery platforms to locally developed AI tools. While India has seen rapid growth in AI adoption, much of the underlying technology has so far been imported or adapted from Western platforms. By focusing on regional language support and cultural relevance, Xanfi reflects an emerging trend where AI development is increasingly aligned with local needs. Whether this model can scale and compete with established international players remains to be seen.
