The India AI Impact Summit to be held from February 16 to 20 in New Delhi will bring together policymakers, technology experts, to discuss the evolving landscape of artificial intelligence. Complementing the policy and governance discussions, a major highlight of the summit will be the progress made by 12 Indian startups selected under the IndiaAI Mission to develop indigenous foundation models trained on Indian datasets and languages.
Among the key players, Sarvam AI is advancing large language models tailored to Indian languages and domestic needs. Its work covers multilingual reasoning, speech-based technologies, and enterprise productivity solutions. Under the IndiaAI Mission, the company is contributing to the development of a sovereign foundation model capable of text generation, translation, and conversational AI across multiple Indian languages.
In alignment with India’s multilingual priorities, Soket AI Labs is building open-source, large-scale AI systems that reflect the country’s linguistic diversity. Its focus is on multilingual and multimodal foundation models designed for sectors such as defence, healthcare, and education, with support for more than 22 Indian languages.
Shifting from text and multimodal systems to voice technologies, Gnani AI is developing a voice-first foundation model centred on multilingual speech comprehension and real-time voice interaction. The solution is intended to enable low-latency, speech-to-speech communication for applications in customer service, education, accessibility, and other public-facing services.
Operating in the same domain, Gan AI is creating a multilingual AI model with a strong emphasis on high-quality text-to-speech capabilities. The company aims to achieve voice synthesis standards comparable to leading global platforms, supporting use cases such as audiobooks, digital assistants, media production, and localisation of Indian-language content.
Beyond language and speech, Avaatar AI is designing specialised AI avatars tailored to Indian use cases. These digital avatars can be deployed across sectors including agriculture, healthcare, and governance, enabling services such as farm advisory platforms, patient engagement tools, and grievance redressal systems.
At a consortium level, BharatGen, led by IIT Bombay, is developing multilingual and multimodal foundation models at different scales. The initiative prioritises real-world deployment in agriculture, legal services, education, finance, and healthcare, using datasets grounded in Indian languages and socio-cultural contexts.
Adding a deep-tech dimension, Zenteiq is building a multimodal foundation model called BrahmAI to enhance engineering intelligence and scientific computing. The system is intended to support technical modelling, optimisation problems, and advanced research, particularly in engineering-intensive domains.
With a focus on efficiency and scalability, Gen Loop is developing a suite of lightweight language models covering all 22 scheduled Indian languages. Its portfolio includes a base model, an instruction-tuned variant, and a moderation model, designed for scalable and safe deployment across educational platforms, social networks, and enterprise environments.
In healthcare innovation, Intellihealth, through its NeuroDX platform, is developing an AI-driven system for EEG signal analysis. The initiative aims to enable earlier detection of neurological conditions and advance cost-effective brain-computer interface research, improving clinical outcomes and healthcare accessibility.
Bridging healthcare and scientific discovery, Shodh AI is applying artificial intelligence to laboratory workflows to accelerate materials research. Its platform automates experiment design and analysis, facilitating the discovery of advanced materials such as high-performance alloys and next-generation battery components.
In analytical intelligence, Fractal Analytics is building what it describes as “India’s first large reasoning model.” The platform emphasises structured analytical reasoning combined with deep STEM expertise, targeting applications in diagnostics, data analytics, and complex decision-support systems.
At the intersection of enterprise and governance, Tech Mahindra’s Maker’s Lab is developing a foundation model optimised for Indic languages and regional dialects, alongside an agentic AI framework for enterprise and government adoption. The initiative seeks to streamline translation, automate administrative workflows, and strengthen digital governance infrastructure.
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