
The collaboration will focus on creating AI models and platforms that run on India's own infrastructure, ensuring data sovereignty and compliance with local regulations. Sarvam AI, based in Bengaluru, brings expertise in building Indic language models and full-stack AI solutions, while IBM contributes its watsonx platform and enterprise-grade AI capabilities.
Initial efforts will target public sector applications such as citizen services, healthcare, and agriculture, where localized AI can address language diversity and specific regional needs. The partnership also aims to support regulated industries like banking and telecommunications, which require strict data governance and security.
Under the agreement, IBM will provide its hybrid cloud and AI infrastructure, while Sarvam AI will develop fine-tuned models and applications. The companies plan to establish a center of excellence in India to accelerate co-innovation and skill development.
This move aligns with India's broader push for digital self-reliance and the government's emphasis on building indigenous AI capabilities. By combining Sarvam's linguistic and domain expertise with IBM's global technology, the partnership seeks to create scalable AI solutions that can be deployed across the country.
The announcement follows recent government initiatives to promote sovereign AI, including the IndiaAI mission, which aims to democratize AI access and foster innovation. Both companies have stated that the partnership will prioritize transparency, fairness, and ethical AI practices.
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