CoRover Introduces BharatGPT Mini to Enhance AI Accessibility in India

CoRover Unveils BharatGPT Mini at VivaTech Paris 2025

CoRover, a leading conversational AI platform, has launched BharatGPT Mini, a new Small Language Model (SLM) designed to enhance AI accessibility across India. The model was introduced at the VivaTech Paris 2025 event, with the launch officiated by Shri Jitin Prasada, Union Minister of State for Commerce & Industry and Electronics & IT.

Key Features of BharatGPT Mini

BharatGPT Mini is built with approximately 534 million parameters and supports 14 Indic languages, offering both text-in and text-out functionalities. This development is part of a broader initiative to democratize AI in India, making it accessible to a wider audience, particularly in regions with limited internet connectivity.

Offline Capabilities and Local Language Support

The model is trained on CoRover's proprietary conversational dataset and is designed to function offline, which is crucial for areas with inconsistent internet access. This feature is expected to extend essential services such as healthcare, education, and banking to more citizens in their native languages.

Addressing India's AI Needs

CoRover's initiative aligns with India's growing emphasis on developing indigenous AI solutions that cater to its linguistic and cultural diversity. The BharatGPT Mini is anticipated to see increased adoption, especially among small and mid-sized businesses, as cloud costs rise and data privacy becomes a more pressing concern.

Broader Implications for the Indian AI Industry

The launch of BharatGPT Mini is part of India's ambitious push to become a global leader in AI, with a focus on serving its multilingual population. CoRover has been a significant contributor to this landscape, developing AI-powered virtual assistants for government agencies and enterprises, reaching over 1.3 billion users.

Challenges and Opportunities

Developing Indic language models presents challenges such as the scarcity of high-quality training data and the need for specialized tokenizers. Despite these hurdles, the potential to bridge the digital divide and empower non-English speakers remains a strong motivator for companies like CoRover.

Conclusion

BharatGPT Mini represents a significant step in India's journey towards AI self-reliance and digital empowerment. Its offline capabilities and focus on Indic languages aim to make AI more inclusive, enhancing accessibility to AI-driven services for millions of Indians.