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Foundation model companies The companies whose product is the AI model itself, for text, voice, vision and robots Think of three things. You type a question in Hindi into a chatbot, and it answers in Hindi. You ask the voice assistant in a car for the nearest petrol pump. A robot arm in a warehouse picks up a parcel shape it has never seen before. Each of these runs on an AI model. An AI model is a program trained on huge amounts of data to do one kind of task, such as writing text, understanding speech or controlling a machine. Each of the three things runs on a model: the Hindi answer on a language model, the car's voice assistant on a voice model and the warehouse robot arm on a model that controls the machine, and the companies here build those models.Each of the three things runs on a model: the Hindi answer on a language model, the car's voice assistant on a voice model and the warehouse robot arm on a model that controls the machine, and the companies here build those models.

Across this collection, many Market Segments note how AI models are changing their industry. In this one, the model is the industry. It covers the companies whose product is the model itself: the language model, the voice model, the vision model, the robot's brain. They build it, train it and sell it as the product, not as a feature inside something else. The largest of these are called foundation models: very large models trained on a very wide range of data, which other companies then build their own products on. The buyers are companies that build products on top of the models, such as carmakers and call centres, and governments.

This is a very small Market Segment: six companies in Bengaluru. That smallness is the most important fact here. The models most of the world uses are not made by the companies in this Market Segment:

  • OpenAI, Anthropic and Mistral are not covered in this Market Segment.
  • Google (with Gemini), Microsoft and Meta (with Llama) are covered elsewhere. (More on them in Google, Microsoft and Meta, in the big-tech collection.)

What is left is India's own attempt at a language model, and three voice companies that chose Bengaluru for their engineering. There is also one company at the frontier of the field, building a model for robots.

Models applied to one particular job are covered with that job:

The tools that train, run and test models are covered in the next Market Segment, 9.2, The plumbing for models.

Every company named here has posted software engineering jobs in India. Famous companies that don't actively hire software engineers in India are left out.

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  • What this section holds
What this section holds

The six companies fall into three groups: language, voice and robots.

Language. Take the Hindi question from the start of this Market Segment. A language model is an AI model that reads and writes text. Most are trained mostly on English. India's own attempt trains on Indian languages.

Sarvama Bengaluru company, is building India's own language models, trained on Indian languages. Since 2025, the government's national AI programme has chosen it to build a sovereign foundation model: one built in India and controlled by India. It is the largest Indian-founded company in this Market Segment. It is also the one whose product is a foundation model in the full sense. QX Labsa one-person Bengaluru company, presents itself as an Indian language-model company too.

Voice. Take the car's voice assistant from the start of this Market Segment. Voice is where this Market Segment has the most companies.

SoundHound AIwith engineers in Bengaluru, has the most job postings of any company here. For two decades it has built speech recognition, which turns speech into text, and voice assistants. It sells them into cars, restaurants and devices, and now runs them on conversational AI models. Sanaswith engineers in Bengaluru, builds a model that changes the accent of a speaker's voice as they speak. It sold this first to call centres, so an agent in Manila or Hyderabad is heard the way a caller expects. It is the most direct link between this Market Segment and the services-world collection. Cartesiabuilds fast voice models used inside apps that must respond instantly. Most of today's language models are built on a design called the transformer. Cartesia is one of the companies trying a different design for this purpose.

Robots. Take the warehouse robot arm from the start of this Market Segment.

Skild AIwith engineers in Bengaluru, is the most ambitious company here. It is building a general-purpose foundation model for robots: one brain trained to control many kinds of machine, instead of one program for each robot. It was founded out of Carnegie Mellon University by researchers of Indian origin, and is building part of its team in Bengaluru. Instead of one program for each robot, a general-purpose foundation model for robots is one brain trained to control many kinds of machine.Instead of one program for each robot, a general-purpose foundation model for robots is one brain trained to control many kinds of machine. The sovereign model and the robot's brain.

The two ends of this Market Segment are the two big questions the field is asking. The first is whether a country needs its own foundation model, trained on its own languages. That is the bet Sarvam and the national AI programme are making. The second is whether the next foundation model will be for the physical world, controlling machines rather than producing text. That is the bet Skild AI is making. (More on warehouse robots in Market Segment 30.2, Warehouse management systems (WMS) and warehouse robotics, in Industry Vertical 30, Supply chain and logistics.) (More on factory robots in Market Segment 37.5, Industrial machinery and robotics, in Industry Vertical 37, Manufacturing tech.)

So the three things from the start of this Market Segment, the Hindi answer, the car's voice assistant and the robot arm, each run on a model. The companies here build those models. The largest model makers in the world are not covered here.
Who they hire

Who these companies hire, and for what, is on What AI labs and model platforms hire for.

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