IndiaAI Mission selects eight firms, drives sovereign AI leadership.

Blending academic prowess and industry might, India’s AI mission accelerates towards self-reliance and global leadership with tailored solutions.

September 18, 2025

IndiaAI Mission selects eight firms, drives sovereign AI leadership.
In a significant stride towards achieving technological self-reliance and global leadership in artificial intelligence, the Indian government has selected eight prominent firms for the second phase of its ambitious IndiaAI Mission. The newly announced cohort includes the government-funded academic consortium BharatGen, AI analytics powerhouse Fractal, and IT services giant Tech Mahindra, alongside five other specialized startups: Avataar.ai, ZenteiQ.ai, Genloop, NeuroDX (IntelliHealth), and Shodh AI.[1][2] This move expands the total number of companies under the mission's foundational model initiative to twelve, adding to the four previously selected entities.[1][2][3] The selection, unveiled by the Ministry of Electronics & Information Technology (MeitY), represents a crucial step in the nation's strategy to build a robust, inclusive, and sovereign AI ecosystem capable of addressing India's unique challenges and opportunities.
The IndiaAI Mission, approved with a budget of over ₹10,300 crore, is a comprehensive government initiative designed to propel the country to the forefront of the global AI landscape.[4][5] Its core objective is to foster a complete ecosystem for AI by focusing on seven key pillars: enhancing compute infrastructure, establishing an AI innovation center, developing high-quality datasets, financing AI startups, cultivating AI skills, promoting AI applications in critical sectors, and ensuring the development of safe and trusted AI.[6][7][8] A central component of this strategy is the creation of a large-scale AI computing infrastructure, with a target of establishing a capacity of over 10,000 GPUs through public-private partnerships.[2][5] This focus on democratizing access to high-performance computing is critical, as it provides domestic startups, researchers, and academic institutions with the necessary resources to develop and train the large-scale foundational models that underpin modern AI, thereby leveling the playing field against global tech giants. The mission aims to catalyze innovation and ensure the benefits of AI are distributed across all segments of society, solving critical challenges in areas like healthcare, agriculture, and governance.[4][9]
The eight entities selected in this second phase represent a strategic blend of academic research, established corporate strength, and specialized startup agility, each tasked with contributing to the development of indigenous foundational models. BharatGen, a consortium of premier institutions including several IITs and an IIM, is at the heart of the push for sovereign AI.[1][2][3] Funded by the Department of Science and Technology, it focuses on creating open-source models tailored to India's diverse linguistic and cultural landscape.[2][10] Its first foundational large language model, Param-1, is a bilingual model built from scratch with 25% Indic data, a stark contrast to global models like Meta's Llama which contains minimal Indian language data.[1][3] Fractal, a prominent Mumbai-based AI firm, brings deep expertise in analytics and is set to build India's first large reasoning model (LRM), with plans for models up to 70 billion parameters.[11][12] The company recently launched its own open-source model, Fathom-R1-14B, which it claims offers high performance in mathematical reasoning at a very low post-training cost.[2][3][13] Tech Mahindra, a leading IT services firm, contributes enterprise-level scale and experience. The company has been actively sharpening its AI strategy, launching initiatives like Project Indus, which resulted in a 1.2 billion parameter model trained in 37 Indian dialects.[11][14] The inclusion of Avataar.ai (AI-driven visual search), ZenteiQ.ai (industrial AI), Genloop (data analysis), IntelliHealth (healthcare AI), and Shodh AI (AI for research and education) further diversifies the mission's focus, ensuring that development targets a wide array of sectors and applications.[6][3]
The implications of this expansion are profound for India's technology sector and its broader economic ambitions. By actively supporting a diverse set of domestic players, the IndiaAI Mission is directly fostering a competitive and self-sufficient open-source AI ecosystem, reducing the nation's reliance on foreign-developed technologies.[2] This initiative is a clear declaration of India's intent to create sovereign AI capabilities that are attuned to local languages, cultural contexts, and societal needs—a critical factor for the widespread adoption and effectiveness of AI in the country. The government's support, through incentives and access to subsidized GPU compute power, is expected to accelerate the development and deployment of these foundational models.[15][16] The Union IT Minister's stated goal is for each selected team to become a global top-five player in their respective domains, whether in multilingual foundation models, speech AI, or multimodal applications, highlighting the global ambition of the program.[2][13] This strategic investment is poised to not only spur innovation but also to cultivate a new generation of AI talent and startups, solidifying India's position as a significant force in the global AI landscape.
In conclusion, the selection of BharatGen, Tech Mahindra, Fractal, and five innovative startups for the second phase of the IndiaAI Mission marks a pivotal moment in the nation's technological journey. This deliberate and strategic blending of academic prowess, corporate strength, and startup dynamism creates a powerful engine for building a self-reliant and inclusive AI ecosystem. By focusing on the development of indigenous, open-source foundational models, India is not merely participating in the global AI race but is actively shaping its own AI future, one that is tailored to its unique developmental goals and vast linguistic diversity. The success of this collaborative national effort will be instrumental in defining India's role as a leading innovator and a globally competitive powerhouse in the era of artificial intelligence.

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