BHASHINI-GeM MoU: Multilingual access to public procurement in 22 languages
Synopsis
Key Takeaways
The Digital India BHASHINI Division (DIBD) and the Government e-Marketplace (GeM) have signed a Memorandum of Understanding (MoU) to embed multilingual digital capabilities across India's public procurement ecosystem, enabling stakeholders to access services in their preferred Indian languages. The agreement, announced on 16 June in New Delhi, leverages BHASHINI — India's national language Digital Public Infrastructure (DPI) — to dismantle language barriers that have long limited participation in government procurement.
What the MoU Covers
The collaboration spans a broad range of multilingual technology interventions, including translation API integration, domain-specific language model development, multilingual glossary creation, voice-enabled technologies, voice bots, and linguistic dataset development. Together, these tools are designed to strengthen multilingual capabilities across the entire GeM ecosystem.
The two organisations will also work on the co-creation, integration, and deployment of multilingual digital public resources through flagship BHASHINI initiatives — BHASHINI Udyat, Mitra, Appmitra, Sahyogi, and Pravakta. Additionally, the MoU will encourage language data contributions through the Bhashadaan programme and drive capacity-building efforts across institutions associated with the GeM network.
Voice-First and Generative AI at the Core
A central pillar of the initiative is the advancement of a 'Voice First' language technology infrastructure, supplemented by Generative AI solutions. According to the Ministry of Electronics and Information Technology, the framework will support seamless interaction across 22 officially recognised Indian languages and other Indian languages, making it one of the most linguistically ambitious integrations in India's public digital infrastructure to date.
The initiative will also focus on strengthening multilingual AI models tailored to the specific needs of public procurement, government service delivery, commerce, and business participation — enabling voice-first multilingual experiences across India's diverse linguistic landscape.
What the Government Said
Amitabh Nag, Chief Executive Officer of the Digital India BHASHINI Division, underscored the democratising intent of the partnership. 'BHASHINI is committed to making digital public infrastructure truly inclusive by enabling citizens and enterprises to interact in their preferred Indian languages. Our collaboration with GeM will help democratise access to public procurement through multilingual and voice-enabled technologies, ensuring that language is no longer a barrier to participation,' he said.
Impact on Sellers and Stakeholders
The MoU is expected to directly benefit small businesses, rural entrepreneurs, and first-time sellers who have historically struggled to navigate GeM's English-dominant interface. Areas such as seller onboarding, platform navigation, communication, and stakeholder engagement are all earmarked for multilingual upgrades.
The collaboration will also support the collection, curation, and dissemination of linguistic resources to enhance multilingual support across procurement services, according to the official statement. Wider adoption of multilingual AI tools is envisaged across all institutions and stakeholders associated with the GeM ecosystem.
Broader Significance
This comes amid a broader government push to make digital public infrastructure accessible beyond urban, English-literate populations. GeM, which has processed transactions worth several lakh crore rupees since its launch, stands to significantly widen its seller and buyer base if language friction is reduced. The BHASHINI platform's integration with a high-volume government marketplace marks a concrete step toward operationalising India's language-inclusion commitments at scale.
Implementation timelines for specific features are yet to be publicly disclosed; further details are expected as the two organisations begin deploying the agreed frameworks.