India and Nepal have taken a significant step toward strengthening regional technology cooperation by signing a Memorandum of Understanding (MoU) focused on the development of Artificial Intelligence (AI)-powered multilingual language technologies and digital public infrastructure. The agreement reflects the growing importance of language technology in the digital age and highlights the shared commitment of both countries to making digital services more inclusive, accessible and effective for diverse linguistic communities.

The partnership represents an important milestone in the evolution of India Nepal AI partnership initiatives and demonstrates how emerging technologies can be leveraged to address real-world challenges. By combining expertise in language technology, artificial intelligence and digital public infrastructure, India and Nepal aim to create solutions that improve access to information, public services and economic opportunities for millions of people.

The agreement was signed between the Digital India BHASHINI Division (DIBD) under the Ministry of Electronics and Information Technology (MeitY) and Kathmandu University’s Centre for Digital Public Infrastructure and Artificial Intelligence (DPI-AI). The exchange of the agreement took place in the presence of External Affairs Minister Dr. S. Jaishankar and Nepal’s Foreign Minister Mr. Shishir Khanal during bilateral engagements in New Delhi.

The signing of the agreement highlights the increasing role of technology cooperation in strengthening bilateral relations. While traditional partnerships often focused on trade, infrastructure and development assistance, modern international cooperation increasingly includes innovation, digital transformation and emerging technologies. This latest initiative reflects that shift and positions both countries to benefit from advances in artificial intelligence and language computing.

At the heart of the collaboration is the goal of creating an AI powered multilingual language platform capable of serving users across multiple languages and communication formats. Language remains one of the biggest barriers to digital inclusion in many parts of the world. Millions of people are unable to fully access digital services because available platforms do not support their native languages or preferred modes of communication.

This challenge is particularly relevant in linguistically diverse regions such as South Asia, where hundreds of languages and dialects are spoken across different communities. By developing multilingual digital tools, India and Nepal aim to ensure that language differences do not prevent citizens from accessing education, government services, healthcare information, financial services and other essential resources.

One of the key objectives of the partnership is the creation of a voice first language ecosystem for Nepal. Voice-based technologies have become increasingly important because they enable people to interact with digital platforms without requiring advanced literacy or technical skills. For many users, speaking is more natural and convenient than typing, particularly when using local languages.

The development of a voice-first ecosystem can significantly improve accessibility by allowing citizens to access information and services through spoken interactions. This approach is especially valuable in rural and underserved communities where literacy levels, internet familiarity or access to digital devices may be limited.

To achieve this objective, the collaboration will focus on developing high-quality language resources and technological tools. These include speech corpora, language datasets, speech to text technology, text to speech systems, machine translation tools and advanced multilingual conversational AI applications.

Language datasets serve as the foundation for modern AI systems. Artificial intelligence models require large volumes of data to learn how languages are spoken, written and understood. By creating comprehensive datasets covering multiple languages, researchers can develop systems that accurately process and generate language content.

The creation of speech corpora is particularly important because voice technologies depend on large collections of spoken language samples. These datasets help train systems to recognize different accents, dialects, pronunciations and speech patterns. As a result, users can enjoy more accurate and reliable interactions with digital platforms.

The partnership's focus on speech to text technology will allow spoken language to be converted into written text automatically. This capability has numerous practical applications, including digital documentation, accessibility services, customer support systems and educational tools. Speech-to-text solutions can also help individuals who may find typing difficult or inconvenient.

Similarly, text to speech systems enable written content to be converted into natural-sounding spoken language. These technologies can improve accessibility for visually impaired individuals, support language learning and make digital content more accessible to broader audiences. When integrated into public service platforms, text-to-speech solutions can help ensure that information reaches citizens in a format they can easily understand.

Another important component of the initiative is the development of machine translation tools. Machine translation has become a critical technology in an increasingly interconnected world. It enables communication across language barriers and supports access to information regardless of the language in which it was originally created.

By developing multilingual translation capabilities, India and Nepal can facilitate communication among diverse linguistic communities while expanding access to educational resources, government services and digital content. Effective translation tools can also support businesses, researchers and institutions operating across multiple languages.

The collaboration further aims to create multilingual AI solutions capable of understanding and responding to users in various languages. Conversational AI systems are increasingly being used in customer service, education, healthcare and public administration. Multilingual capabilities ensure that these benefits are available to a wider population rather than being limited to speakers of a few major languages.

A particularly noteworthy aspect of the initiative is its emphasis on preserving and digitising the linguistic and literary heritage of underrepresented and low-resource languages. Around the world, many languages face challenges related to declining usage, limited documentation and inadequate digital representation.

Without proactive efforts, some languages risk becoming marginalized in the digital era. By supporting language preservation through digital technologies, the India-Nepal partnership seeks to ensure that linguistic diversity remains an asset rather than a barrier. Digitization efforts can help safeguard cultural heritage while making valuable linguistic resources accessible to future generations.

The focus on low-resource languages is especially important because many AI systems perform best in languages with extensive digital content. Languages with fewer digital resources often receive less technological support, creating a digital divide that excludes certain communities from the benefits of innovation.

By investing in underrepresented languages, the partnership promotes a more inclusive approach to technological development. This aligns closely with the broader goal of digital inclusion initiative efforts that seek to ensure equitable access to digital opportunities.

The initiative will leverage the capabilities of the BHASHINI platform, India’s national programme for AI-driven multilingual inclusion. The BHASHINI platform has emerged as one of the most significant language technology ecosystems in the country and provides a strong foundation for expanding multilingual digital services.

Designed as an open and interoperable platform, BHASHINI enables integration across a wide range of applications and services. Open ecosystems are particularly valuable because they encourage collaboration, innovation and scalability. Developers, institutions and government agencies can build solutions using shared language resources and technological capabilities.

The partnership intends to use BHASHINI’s infrastructure to address barriers related to language, literacy and digital accessibility. These barriers often prevent citizens from fully participating in the digital economy and accessing public services. By removing such obstacles, multilingual technologies can support greater inclusion and empowerment.

The agreement also supports the broader expansion of digital public infrastructure. Digital public infrastructure refers to foundational digital systems that enable citizens, businesses and governments to interact efficiently and securely. Examples include digital identity systems, payment platforms and service delivery frameworks.

Integrating multilingual capabilities into digital public infrastructure ensures that these systems remain accessible to diverse populations. This is particularly important in multilingual societies where language differences can otherwise limit participation.

Another major component of the partnership involves collaboration in Natural Language Processing (NLP). NLP is a field of artificial intelligence that focuses on enabling computers to understand, interpret and generate human language. It forms the basis for many modern AI applications, including chatbots, translation systems, voice assistants and content analysis tools.

The planned Natural Language Processing NLP projects will support research and innovation while helping both countries build expertise in advanced language technologies. NLP remains one of the fastest-growing areas of AI and has applications across numerous industries, including education, healthcare, finance and governance.

Joint research initiatives are expected to play an important role in achieving the goals of the partnership. Collaborative research allows institutions to combine expertise, share resources and accelerate innovation. By working together, researchers from India and Nepal can address common challenges while developing solutions tailored to regional needs.

The agreement also includes provisions for training programmes and capacity-building initiatives. Building technical expertise is essential for the successful adoption and long-term sustainability of advanced technologies. Training programmes can help students, researchers, developers and public officials acquire the skills needed to develop and manage AI-driven systems.

Capacity building is particularly important because technological transformation requires more than infrastructure alone. Human expertise remains a critical factor in ensuring that technologies are implemented effectively and responsibly. By investing in skills development, the partnership strengthens the foundation for future innovation.

Pilot projects will provide opportunities to test new technologies in real-world environments before broader deployment. Such projects help identify practical challenges, gather user feedback and refine solutions to better meet community needs. Successful pilot programmes can then be scaled up to reach larger populations.

The potential benefits of the initiative extend across multiple sectors. In education, multilingual technologies can improve access to learning materials and support students who study in different languages. AI-powered translation and voice tools can make educational content more accessible while supporting language learning and knowledge sharing.

In skill development, language technologies can help individuals access training resources, online courses and employment opportunities. By reducing language barriers, digital platforms can reach a wider audience and support workforce development.

The collaboration is also expected to contribute to digital commerce. Businesses increasingly rely on digital platforms to engage customers, provide services and expand into new markets. Multilingual tools can help companies communicate more effectively with diverse customer bases and improve user experiences.

Public service delivery represents another area where significant benefits may emerge. Governments can use multilingual AI systems to provide information, respond to citizen queries and facilitate access to services in local languages. Such capabilities can improve efficiency while enhancing citizen engagement.

The initiative reflects a broader trend toward regional cooperation in technology and innovation. As countries seek to harness the benefits of artificial intelligence and digital transformation, partnerships that combine resources and expertise become increasingly valuable.

India has already established itself as a leader in digital public infrastructure and language technology through initiatives such as BHASHINI. Nepal's participation in this collaboration creates opportunities for knowledge sharing and mutual growth while strengthening regional innovation ecosystems.

The scale of BHASHINI's existing operations demonstrates the potential impact of the initiative. The platform currently supports 36 Indian text languages, 23 Indian voice languages and 35 international languages. It powers more than 800 government websites and processes over 15 million AI inferences daily.

These achievements illustrate the maturity and scalability of India's language technology ecosystem. By leveraging this experience, the partnership can accelerate the development of multilingual digital services and expand access to AI-powered solutions.

The growing importance of multilingual technologies reflects a broader recognition that digital transformation must be inclusive. Technological progress is most effective when it benefits all segments of society, regardless of language, literacy level or geographic location.

The India Nepal technology cooperation initiative therefore represents more than a technical collaboration. It is a commitment to ensuring that digital innovation serves diverse communities and contributes to social and economic development.

Looking ahead, the successful implementation of the MoU could establish a model for regional collaboration in language technology and digital public infrastructure. Other countries facing similar linguistic and digital inclusion challenges may look to this partnership as an example of how AI can be used to promote accessibility and participation.

Ultimately, the signing of the agreement between the Digital India BHASHINI Division and Kathmandu University’s Centre for Digital Public Infrastructure and Artificial Intelligence marks a significant step toward a more connected and inclusive digital future. Through cooperation in multilingual AI solutions, speech to text technology, text to speech systems, machine translation tools, Natural Language Processing NLP and digital public infrastructure, India and Nepal are laying the foundation for a stronger technology partnership.

As the initiative progresses, it is expected to create new opportunities in education, public services, commerce and innovation while preserving linguistic diversity and expanding access to digital resources. The collaboration highlights the transformative potential of artificial intelligence when applied to real-world challenges and reinforces the growing importance of regional partnerships in shaping the future of technology.