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BENGALURU, India — Indian artificial intelligence company Sarvam AI is expanding its efforts to develop domestic AI models and infrastructure as concerns grow about the country’s dependence on foreign technology providers. In an interview published on October 30, 2026, co-founder Vivek Raghavan emphasized the importance of building AI systems designed for India’s languages, economic conditions, and institutional requirements. The company is developing foundation models, voice technologies, and enterprise AI services intended to strengthen India’s domestic capabilities in an increasingly competitive global market.
Sarvam Focuses on India’s Language and Business Requirements
India’s linguistic diversity creates challenges for AI applications developed primarily for English-speaking markets. Businesses and public institutions require systems capable of understanding and responding to users across numerous Indian languages, often through voice-based interfaces rather than conventional text applications. Sarvam is developing AI technology intended to address these requirements while maintaining efficiency and affordability.
The company has introduced voice agents capable of handling customer interactions in Indian languages. According to figures reported in the interview, its voice technology processes approximately 2.5 million to 3 million calls daily. These applications demonstrate how AI can support customer service and other operational activities in markets where multilingual communication is essential.
Company Develops Large-Scale Domestic AI Models
Sarvam has trained a 105-billion-parameter AI model using computing support provided through Indian government initiatives. The company is also working on a larger model as it expands its research and infrastructure capabilities. These developments form part of a broader effort to create AI systems that can serve domestic businesses, regulated industries, and strategic technology requirements.
Training advanced AI models requires substantial computing resources, specialized engineering expertise, and large datasets. Companies operating in cost-sensitive markets must also consider whether the expense of developing and running these models can be justified by commercial demand. Sarvam believes that efficient models designed for specific applications can offer practical advantages without requiring every deployment to use the largest available systems.
Sovereign AI Becomes a Strategic Technology Priority
Sovereign AI refers broadly to the ability of a country or organization to develop, control, and operate artificial intelligence capabilities according to its own requirements. Supporters argue that domestic AI infrastructure can improve technological independence, support local languages, and provide greater control over sensitive data. These considerations are particularly relevant for government services, financial institutions, and other regulated sectors.
Raghavan has warned that excessive dependence on foreign AI platforms could weaken India’s ability to develop a competitive domestic technology ecosystem. However, building sovereign AI capabilities involves substantial investment and does not necessarily require eliminating international technology partnerships. Countries may combine domestic research and infrastructure with global collaboration while seeking greater control over strategically important applications.
Affordable AI Could Support Wider Adoption
Sarvam’s approach emphasizes the importance of making AI economically practical for Indian businesses and institutions. The company argues that smaller or more specialized models can meet many operational requirements at lower costs than the most computationally demanding frontier systems. This could be particularly important for organizations deploying AI across large populations or operating with limited technology budgets.
Its Indus platform is also being developed to support more complex, longer-running tasks, expanding the range of activities that domestic AI systems may be able to perform. The company’s long-term ambitions include increasing the share of AI usage served by Indian technology and exploring opportunities in other emerging markets with similar cost and language requirements.
Sarvam’s progress illustrates the growing importance of local AI ecosystems as countries seek to participate more directly in developing advanced technology. Its future success will depend on model performance, customer adoption, computing costs, and the ability to compete with established international providers. The development highlights how sovereign AI is becoming an important part of national technology and economic strategies.
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