Centre Backs AI in Regional Languages: Tech Firms in Indore, Jaipur Among Pilot Beneficiaries

In a push to make artificial intelligence (AI) more inclusive and accessible, the central government has launched a pilot initiative to promote AI solutions in regional languages. As part of this move, startups and tech firms in Tier-2 cities like Indore and Jaipur have been selected to lead the way. The focus is to bridge the digital divide by enabling language-based AI for diverse Indian users.


Focus on Language Inclusivity in AI

India’s linguistic diversity often poses a barrier in tech adoption, particularly outside metro areas. To address this, the Centre’s new program encourages development of AI models that understand and respond in Indian languages such as Hindi, Marathi, Gujarati, and others.

The initiative is part of the broader Digital India strategy, aiming to make emerging technologies more relevant and usable for common citizens, especially those in semi-urban and rural areas.


Indore and Jaipur Firms Chosen for Pilot Phase

Among the key pilot beneficiaries are emerging AI firms based in Indore and Jaipur. These startups specialize in natural language processing (NLP), voice-to-text tech, and regional chatbot interfaces.

A Jaipur-based startup is working on a voice assistant that can converse fluently in Rajasthani and Hindi dialects, aimed at helping farmers access government schemes. Meanwhile, a tech firm from Indore is developing AI-powered transcription tools for regional media houses and local government bodies.


Why Tier-2 Cities Matter

The inclusion of Tier-2 cities in such national pilots reflects a growing recognition of their innovation potential. With lower operational costs and strong local talent pools, cities like Indore and Jaipur are becoming attractive hubs for tech experimentation.

Moreover, regional tech firms are often more attuned to local needs, giving them an edge in building user-centric solutions in vernacular languages.


Government Support and Expectations

The selected startups will receive technical support, funding, and access to multilingual datasets curated by national research institutions. The government also plans to establish test beds for these AI tools in schools, panchayats, and urban local bodies to gather real-world feedback.

Officials hope that by integrating regional languages into AI, the tools can be adopted more widely, thus empowering users who are often left out of the digital economy due to language constraints.


Conclusion

The government’s backing of AI in Indian languages marks a crucial step toward inclusive tech growth. By involving startups from Indore and Jaipur, the initiative taps into the innovative energy of Tier-2 cities while addressing a long-standing gap in India’s digital landscape. As these pilots evolve, they may redefine how AI is designed, delivered, and experienced across the country.

Sakshi Lade

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