The Indian Artificial Intelligence landscape is expanding quickly, with several startups developing models and platforms tailored to local languages, sectors, and operational needs. Qure Artificial Intelligence concentrates on healthcare diagnostics, using deep learning and computer vision to analyse medical images such as X-rays and CT scans. Its proprietary deep learning systems provide rapid detection support for conditions including tuberculosis, lung cancer, and stroke, act as a ‘second opinion’ for radiologists, prioritise critical cases and work effectively on new and older imaging equipment across more than 100 countries.
Krutrim Artificial Intelligence positions itself as a full-stack offering that spans foundational models, cloud infrastructure and custom silicon, with a focus on multilingual and culturally nuanced performance. Its flagship model, Krutrim-2, is a 12 billion-parameter transformer trained on English, code and more than 22 Indian languages. Krutrim-2 supports creative writing, summarisation and complex translation tasks and offers a large 128K token context window aimed at long-form generation and multi-turn conversations while remaining cost efficient. Sarvam Artificial Intelligence has been chosen by the government for a sovereign large language model initiative and is building a family of multi-modal, multi-scale models. The Sarvam series includes Sarvam-Large for advanced generation and reasoning, Sarvam-Small for real-time applications and Sarvam-Edge for compact on-device tasks, with a design emphasis on code-mixing, voice interaction and keeping data within national boundaries for use in fintech, healthcare and e-commerce.
Hanooman Artificial Intelligence is a multilingual, multimodal generative platform developed in collaboration with reliance industries and the Indian Institutes of Technology. It is training models ranging from 1.5 billion to 40 billion parameters in 22 Indian languages and aims to provide an open-source alternative for sectors such as healthcare, governance, financial services and education with capabilities across text, speech and video. Yellow Artificial Intelligence focuses on enterprise conversational automation and markets the Orchestrator LLM, a generative agent model that requires zero initial training. The Orchestrator LLM can analyse and retain full conversational context, recognise multiple intents and switch contexts without losing track of goals, enabling human-like responses and dynamic interactions for over a thousand global enterprises and driving improvements in customer satisfaction and operating cost reductions.
