GuidesAI companies in India

Best AI companies in India (2026): the list, by kind of company

A list of the AI companies in India worth knowing in 2026 — foundation-model builders, enterprise AI and analytics firms, conversational AI, healthcare and vertical AI, the IT services giants' AI practices, and AI-native engineering companies — grouped by kind, with what each one does and how to choose between them.

Choosing a partner · 9 min read · 8 October 2026

"Best AI companies in India" is a question with a hidden second half: best for what? A company building Indian-language foundation models, a firm that runs analytics for Fortune 500 clients, a startup that reads chest X-rays and a services giant with thirty thousand people in its AI practice are all "AI companies in India", and none of them competes with the others.

So this list is organised by kind. Find the kind that matches your problem, then compare the names within it. We are on the list ourselves — the last group, disclosed — and the final sections explain how the list was made and how to choose from it.

00The list: AI companies in India, by what they do

Companies are grouped by what they do, and the order within a group means nothing. Each entry gives two public facts — where the company is based and what it builds — and no funding figures, valuations, headcounts or rankings. Quantum Beetle, which wrote this page, appears once and is marked as such. Corrections are welcome at hello@quantumbeetle.ai.

Foundation models and AI infrastructure

  1. 01Sarvam AIBengaluru

    Indian-language foundation models, voice models and an AI platform; selected under the government's IndiaAI Mission to build a sovereign foundational model.

  2. 02KrutrimBengaluru

    The Ola group's AI company: large language models for Indian languages, with its own cloud and AI infrastructure.

  3. 03Yotta Data ServicesNavi Mumbai

    Data centres and a GPU cloud for training and running AI models, sold to enterprises, startups and government.

  4. 04NeysaMumbai

    A GPU cloud and AI acceleration platform for companies that need compute without building their own.

  5. 05E2E NetworksNew Delhi

    A listed Indian cloud provider offering GPU infrastructure for AI and machine-learning workloads.

Enterprise AI, analytics and decision intelligence

  1. AI and decision-intelligence services and products for large global enterprises, across consumer goods, finance, healthcare and retail.

  2. 07Mu SigmaBengaluru

    Data and decision sciences services for large enterprises, with its own analysts, methods and platforms.

  3. AI and advanced analytics consulting and engineering for enterprises, with a large data-science bench.

  4. A listed data analytics and AI company serving enterprises in technology, finance, retail and consumer goods.

Conversational, voice and customer-experience AI

  1. 10Yellow.aiBengaluru / San Mateo

    AI agents and conversational automation for customer service and employee support, across many languages and channels.

  2. 11HaptikMumbai

    Conversational AI for customer support and commerce; part of the Jio group.

  3. 12UniphoreChennai / Palo Alto

    Conversational AI and automation for contact centres and enterprise workflows.

  4. 13Observe.AIBengaluru / San Francisco

    Conversation intelligence and AI agents for contact centres: quality, coaching and compliance.

  5. 14GupshupMumbai / San Francisco

    A conversational messaging platform used by businesses to talk to customers on WhatsApp and other channels, with AI agents on top.

  6. 15Kore.aiHyderabad / Orlando

    An enterprise platform for building conversational and generative AI assistants and agents.

  7. 16Skit.aiBengaluru

    Voice AI agents for customer calls, used heavily in collections and customer service.

Healthcare, agriculture and other vertical AI

  1. 17Qure.aiMumbai

    AI for medical imaging — chest X-rays, CT scans and ultrasound — deployed in hospitals and screening programmes in many countries.

  2. 18NiramaiBengaluru

    AI-based thermal imaging for breast cancer screening, without radiation or contact.

  3. 19SigTupleBengaluru

    AI-driven microscopy and diagnostics that digitise and analyse blood, urine and other samples.

  4. 20WysaBengaluru

    An AI mental-health companion and support platform, used by individuals, employers and health systems.

  5. 21CropInBengaluru

    An agriculture intelligence platform: data, AI models and satellite monitoring for farms, agribusinesses and governments.

  6. 22InnovaccerNoida / San Francisco

    A healthcare data and AI platform that unifies patient records and powers care management for health systems.

  7. Computer vision and AI for retail and enterprises: product tagging, personalisation and document automation.

  8. 24Arya.aiMumbai

    AI for banks, insurers and financial services: underwriting, claims, fraud and document processing.

  9. Video analytics and AI for public safety, surveillance and enterprise operations.

IT services companies with large AI practices

  1. India's largest IT services company, with AI and generative AI delivered as services across its global client base.

  2. 27InfosysBengaluru

    IT services and consulting with a dedicated AI offering (Topaz) spanning models, platforms and services.

  3. 28WiproBengaluru

    IT services with an enterprise AI practice (ai360) that threads AI through its consulting and engineering work.

  4. 29HCLTechNoida

    IT services and engineering headquartered in Delhi NCR, with AI and data practices for global enterprises.

  5. IT services with AI, data and automation practices, strong in telecom and manufacturing.

  6. 31LTIMindtreeMumbai

    IT services and consulting with AI and data engineering practices for enterprises.

  7. Software engineering and product development services, with AI and data work for software and enterprise clients.

AI-native product and engineering companies

  1. 33Quantum BeetleNew DelhiThis is us

    Sovereign Enterprise Intelligence for SAP and ERP data — MIDAS (material master), ARGUS (finance), ATLAS (procurement and inventory), MNEMOS (documents and knowledge) — deployed on the client's own infrastructure with local models by default. Founded 2025; founder-led. The company that wrote this list.

01How this list was made

Three tests for inclusion: the company is Indian-founded or has its main base in India; artificial intelligence is the core of what it sells rather than a feature; and what it does is publicly documented, so the one-line description can be checked. Within a group the order is arbitrary. We left out companies we could not describe in one honest line.

The list was last reviewed on 2026-10-08. Companies change — they raise, merge, pivot and close — so treat it as a map of who exists, not a verdict on who is best. If a description is wrong or a company belongs here and is missing, write to hello@quantumbeetle.ai and we will fix it.

02Which kind do you need?

  • You want to build on an Indian-language model, or you need GPUs: the foundation-model and infrastructure group.
  • You want analytics and decision support across a large enterprise, delivered as a programme: the enterprise AI and analytics group, or a services firm's AI practice.
  • You want to automate customer conversations: the conversational AI group — choose by channel, language coverage and how the vendor handles your customer data.
  • You have a specific vertical problem — imaging, screening, crops, claims, surveillance: the vertical AI group, where the companies have spent years on that one problem.
  • You have a large estate to integrate and need scale, programme management and a long contract: the IT services group.
  • You have one specific enterprise problem, sensitive data that cannot leave your network, and want to own the result: the AI-native engineering group.

03Questions to ask any of them

  1. Where will our data be processed, and by which models? Expect a named answer, not a phrase.
  2. Show us a measured result on data like ours — precision and recall on messy records, with the method explained — not a demo on clean samples.
  3. Who owns the code, models, prompts and indexes when the project ends?
  4. What happens when the system is wrong? Look for confidence scores, review queues and a person in the loop.
  5. What does it cost to run after you leave: licences, hardware, external API calls, retraining, support?

Our buyer's guide to choosing an AI company in India goes through each question, the red flags and a scorecard.

04Where Quantum Beetle sits

We are the last group: an AI-native product and engineering company, founded in 2025 in New Delhi by Achintya Verma, founder-led and small. We build enterprise intelligence that runs on the client's own infrastructure — MIDAS, ARGUS, ATLAS and MNEMOS — alongside a software and AI marketing practice, an AI Production House and an AI Audit.

We are not the right choice for a foundation model, a consumer chatbot or a thousand-person integration programme, and the list above names companies that are. We are the right call when the problem is material master data, finance, procurement or institutional knowledge, the data has to stay where it is, and you want a system you can explain and own.

In short

  • "AI company in India" covers six different kinds of organisation; decide which kind fits your problem before comparing names.
  • Foundation models and GPU clouds, enterprise analytics, conversational AI, vertical AI, services firms' AI practices and AI-native engineering companies rarely compete with each other.
  • Every company here is described by two public facts: where it is and what it does. No rankings, no figures.
  • Ask every candidate where your data will be processed, for a measured result on messy data, and what it costs to run after they leave.
  • Quantum Beetle wrote this list and is on it: an AI-native engineering company in New Delhi building sovereign enterprise intelligence.

Questions

Which is the best AI company in India?

There is no single answer, because the companies on this list solve different problems. The best AI company for Indian-language models is not the best for medical imaging or for cleaning a material master. Pick the group that matches your problem, then compare within it using measured results on your own data.

Which AI companies in India build foundation models?

Sarvam AI and Krutrim are the best-known companies building Indian-language large language models. Yotta, Neysa and E2E Networks supply the GPU infrastructure that model builders and enterprises run on.

Which Indian AI companies work with enterprises on their own data?

The enterprise analytics firms (Fractal, Mu Sigma, Tiger Analytics, LatentView), the IT services companies' AI practices, and AI-native engineering companies such as Quantum Beetle. Ask each where the data is processed: some work on their cloud, some on public AI services, and some — including Quantum Beetle — on the client's own infrastructure.

Are there good AI companies in Delhi NCR?

Yes. HCLTech and Innovaccer are in Noida, Staqu is in Gurugram, E2E Networks and Quantum Beetle are in New Delhi, and the region has one of India's largest concentrations of startups. See our list of tech companies in Delhi NCR.

How is this list different from other 'top AI companies in India' lists?

It is grouped by kind rather than ranked, it gives only public, checkable facts for each company, and it discloses that the company that wrote it is on it. Most lists of this kind are written by a company that ranks itself first.

How do I get my company added or a description corrected?

Write to hello@quantumbeetle.ai with the company's name, city and a one-line description of what it builds. We add companies that meet the three tests in the section on how the list was made.

Sounds like your problem?

Tell us about it. We'll say honestly whether the swarm can help, and what it would take.

More guides