Mumbai : 24 February 2026

The Digital India BHASHINI Division (DIBD), under the Digital India Corporation (DIC), Ministry of Electronics and Information Technology (MeitY), and the Reserve Bank of India (RBI) signed a Memorandum of Understanding (MoU) under the initiative titled “BHASHINI for Seva / Sanchalan – A BHASHINI Sahayogi Program” on 23 February 2026 to collaborate on integrating BHASHINI’s language AI models to enhance multilingual access to banking and financial services and promote financial inclusion across India’s diverse linguistic landscape.

The MoU provides for the deployment of BHASHINI models within RBI’s ecosystem, the co-development of a banking-specific language model tailored to financial terminology, and the enrichment of linguistic datasets through the “Bhashadaan” initiative. The two entities will jointly develop a domain-specific language model tailored for the banking sector to be known as “Banking BHASHINI,” incorporating banking terminology, regulatory frameworks, and sector-specific use cases. The proposed model will be designed to deliver strong contextual accuracy across multiple languages and will support the creation of reference applications and voice-enabled interfaces.

The collaboration also includes the enrichment of linguistic datasets through the “Bhashadaan” initiative, enabling structured contributions to enhance the performance and scalability of multilingual AI systems for institutional use. These efforts will be undertaken under the broader BHASHINI Sahayogi framework, ensuring continuous improvement and adaptability of AI models to evolving financial sector needs.

The initiative seeks to strengthen multilingual access across all 22 languages recognised under the Eighth Schedule of the Constitution of India.

This strategic partnership underscores the Reserve Bank of India’s commitment to leveraging indigenous AI capabilities and reinforces the role of BHASHINI as India’s national-scale Language Infrastructure. Together, they aim to build secure, interoperable, and inclusive multilingual AI systems for critical governance and institutional domains, with a special focus on advancing financial services accessibility for all citizens.

PIB Mumbai | Harshal Akude/Priti Malandkar

 

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