Five Indian AI Companies. What They Do. Why They Matter
Most Indian readers can name ten foreign AI companies and not one Indian one. ChatGPT, Claude, Gemini, DeepSeek, Mistral, Perplexity, the names roll off easily. Ask the same reader to name an Indian AI company, and the conversation usually stops at the first attempt.
The picture has changed faster than the headlines have. India now has a serious sovereign AI stack being built by Indian companies, funded by Indian capital, hosted on Indian infrastructure, and trained on Indian languages and data. The IndiaAI Mission, with a ₹10,000 crore outlay approved in March 2024, is funding twelve organisations to build foundation models from scratch. Five of those organisations have already shipped products that are now in active use.
Here are the five names every Indian reader should know.
One. Sarvam AI
Founded in 2023 in Bengaluru by former AI4Bharat researchers, Sarvam is the most visible and the most comprehensively backed of the Indian AI companies. In February 2026, at the India AI Impact Summit, Sarvam unveiled two large language models built from scratch in India: Sarvam 30B (30 billion parameters) and Sarvam 105B (using a Mixture-of-Experts architecture). Both are open source.
Sarvam also runs Samvaad, a multilingual conversation platform that has handled over 10 million conversation turns in Indian languages. The company launched Sarvam Chanakya, an air-gapped vertical specifically for sensitive use cases, in March 2026. A consumer voice device supporting more than 10 Indian languages was scheduled for May 2026 launch. Of all Indian AI companies, Sarvam is the one most often described by global observers as the most comprehensive of the lot.
Source: Business Today on the Sarvam moment
Two. BharatGen
BharatGen is the IIT Bombay-led consortium funded under the IndiaAI Mission. It received ₹989 crore in the third tranche of the Mission, the largest single allocation of any awardee.The output to date is Param-2, a 17-billion-parameter multimodal foundation model that supports all 22 official Indian languages.
What distinguishes BharatGen is its academic backing and its publication discipline. Both its documentation and post-training workflows are openly available on Hugging Face, which is rare among Indian AI efforts and almost unheard of among Chinese ones. The Param-2 model is now hosted on AIKosh, the Government of India's official AI infrastructure platform, for use by Indian organisations and researchers. If you have ever wondered whether an Indian large language model can be downloaded and studied by an Indian engineer without a foreign account, BharatGen is the answer.
Source: BharatGen on the Indian sovereign AI stack
Three. Gnani.ai
Where Sarvam and BharatGen compete on text, Gnani has built the strongest Indian capability in voice AI. Its flagship products are Vachana TTS, a text-to-speech model that can clone any human voice in 12 Indian languages using less than 10 seconds of reference audio, and Vachana STT, its speech-to-text counterpart. Both shipped in 2026.
Gnani's models are already deployed in Indian customer-service, banking, and government applications where multilingual voice interaction is required. The company is also part of the Google Cloud collaboration announced in July 2025 to scale Indian foundation models. For a reader who has noticed that almost every Indian customer service call now begins with a voice menu, Gnani is the company increasingly likely to be behind the voice they are hearing.
Four. CoRover and BharatGPT
If you have ever used the IRCTC website or app to book a railway ticket and interacted with an AI assistant, you have used CoRover. The Bengaluru company built BharatGPT, the conversational AI platform that powers the IRCTC assistant, handling millions of queries per month in Hindi and 11 other Indian languages.
CoRover's reach is substantial. BharatGPT now serves over one billion users across IRCTC, government citizen services, banking, and enterprise customer support. In February 2026 the company launched the BharatGPT DeskAI Appliance, a personal AI assistant powered by Nvidia's Grace Blackwell architecture that runs fully offline on the desk of the user. The BharatGPT Mini model, with 534 million parameters, is the first Indian small language model designed to run on edge devices without any cloud connection.
Source: CoRover on the BharatGPT DeskAI Appliance
Five. Soket AI Labs
The least visible of the five, and worth knowing for that reason alone. Founded in 2018 in India, Soket has been awarded the IndiaAI Mission contract to build a 120-billion parameter open-source foundation model optimised for Indian linguistic diversity, with a stated focus on sectors including defence and healthcare. The model is in active development and has not yet been publicly released at scale.
Soket is also a research-led organisation, with a stated focus on ethical artificial general intelligence. The combination is unusual: a long-established Indian AI lab, with a government mandate to build a 120 billion parameter model, working in domains that include defence applications. Of the five companies in this list, Soket is the one whose name will most likely be unfamiliar even to readers who follow Indian technology news closely. That is exactly why it belongs here.
Why This Matters
Three observations worth holding in mind.
One.Every one of these companies builds and hosts in India. The models are trained on Indian compute. The data stays in India. The customer companies, including the Government of India, do not have to send sensitive queries to servers outside the country.
Two. The cost structures are dramatically lower than the foreign equivalents. Sarvam 105B was built at a fraction of the compute spend of comparable Western models. CoRover's Mini model runs on edge devices that cost less than ten thousand rupees. The constraint that has often slowed Indian technology efforts, the cost of compute, is being met by efficiency rather than scale.
Three. The reader who can name these five companies on Monday is meaningfully ahead of the reader who cannot. The next decade of Indian technology, defence, banking, and governance will be shaped by what these companies and their successors build. Knowing their names is no longer optional.