AI Companies in India: Top AI, GenAI, Agentic AI & Listed AI Companies in 2026
Artificial intelligence in India is no longer limited to traditional IT services or basic chatbots. Today, AI companies in India include enterprise technology firms, GenAI startups, agentic AI platforms, healthcare AI companies, agritech AI firms, voice AI vendors, conversational AI companies, logistics AI platforms, and publicly listed technology companies using AI across products and services.
The top AI companies in India include TCS, Infosys, Wipro, HCLTech, Fractal, Persistent Systems, Tata Elxsi, Sarvam AI, Krutrim, Yellow.ai, Uniphore, Qure.ai, Niramai, Cropin, Locus, Arya.ai, Mad Street Den, Haptik, and Gnani.ai. These companies work across enterprise AI, generative AI, agentic AI, healthcare AI, agritech AI, logistics AI, voice AI, and AI infrastructure.
India’s AI ecosystem is growing because of enterprise adoption, local-language AI demand, startup activity, and government-backed AI infrastructure. The IndiaAI Mission received an allocation of more than ₹10,300 crore to support AI compute, datasets, startup financing, future skills, and safe AI initiatives. The same official announcement also mentions IndiaAI Compute Capacity, which aims to deploy over 10,000 GPUs through public-private partnerships.
Top AI Companies in India: Complete List
| Company | Public or private | HQ / major India presence | AI category | Best for |
|---|---|---|---|---|
| TCS | Public | Mumbai | Enterprise AI services | Large-scale AI transformation |
| Infosys | Public | Bengaluru | Enterprise AI and GenAI | GenAI platforms and AI consulting |
| Wipro | Public | Bengaluru | Applied AI | Enterprise AI implementation |
| HCLTech | Public | Noida | Agentic AI and GenAI | AI automation and IT operations |
| Fractal | Private | Mumbai / Bengaluru presence | Enterprise AI analytics | Decision intelligence |
| Persistent Systems | Public | Pune | AI-led digital engineering | Software and product engineering |
| Tata Elxsi | Public | Bengaluru | AI product engineering | Automotive, media, healthcare AI |
| Sarvam AI | Private | Bengaluru | Indian-language GenAI | Indic AI models and voice AI |
| Krutrim | Private | Bengaluru | AI cloud and infrastructure | GPU workloads and AI deployment |
| Yellow.ai | Private | Bengaluru-origin / global | Agentic conversational AI | CX and EX automation |
| Uniphore | Private | Chennai-origin / global | Business AI | Enterprise agents and AI workflows |
| Qure.ai | Private | Mumbai | Healthcare AI | Medical imaging and diagnostics |
| Niramai | Private | Bengaluru | Healthcare AI | Breast cancer screening |
| Cropin | Private | Bengaluru | Agritech AI | Agriculture intelligence |
| Locus | Private / acquired by Ingka Group | Bengaluru-origin / global | Logistics AI | Route and delivery optimization |
| Arya.ai | Private | Mumbai | BFSI AI | Banking, insurance, lending AI |
| Mad Street Den | Private | Chennai-origin | Enterprise AI | Retail and business AI platforms |
| Haptik | Private / Jio company | Mumbai | Conversational AI | Customer service AI agents |
| Gnani.ai | Private | Bengaluru | Voice AI | Speech AI and voice agents |
| LTTS | Public | Vadodara / Bengaluru | AI engineering R&D | Industrial and product engineering AI |
1. TCS
Tata Consultancy Services is one of India’s largest technology companies and a major enterprise AI services provider. TCS works with global enterprises across cloud, automation, analytics, data platforms, software engineering, and AI-led transformation.
TCS is relevant in India’s AI ecosystem because large enterprises often need AI implementation at scale, including cloud modernization, automation, analytics, software engineering, governance, and data transformation.
Best for: Enterprise AI services, AI transformation, cloud, automation, data engineering, and AI-enabled IT services.
2. Infosys
Infosys Topaz is an AI-first set of services, solutions, and platforms using generative AI technologies. Infosys says Topaz includes 12,000+ AI assets, 150+ pre-trained AI models, and 10+ AI platforms.
Infosys is relevant for enterprise buyers looking for GenAI consulting, AI governance, automation, data analytics, applied AI, and industry-specific AI solutions. It is also a popular company among AI job seekers because of its scale, training ecosystem, and global client base.
Best for: Enterprise GenAI, AI consulting, responsible AI, data analytics, and business transformation.
3. HCLTech
HCLTech AI Force is described by HCLTech as a GenAI and agentic AI platform that automates and augments software engineering, data engineering, IT operations, and enterprise business processes.
AI Force includes modules for software development, modernization, IT operations, SAP, data, Oracle, and Pega. HCLTech also highlights pre-built agents, workflow accelerators, RAG pipelines, governance, observability, and multi-LLM support.
Best for: Agentic AI, IT operations automation, software engineering automation, enterprise AI workflows, and AI governance.
4. Wipro
Wipro is one of India’s major IT services companies with capabilities across consulting, cloud, cybersecurity, data analytics, engineering services, and enterprise transformation. It is commonly included in AI company lists because large enterprises use firms like Wipro for AI implementation, automation, data modernization, and cloud-led transformation.
For businesses, Wipro is relevant when AI adoption requires consulting, systems integration, cloud migration, security, and managed enterprise technology services.
Best for: Applied AI, enterprise AI implementation, cloud, consulting, and AI-powered digital transformation.
5. Fractal
Fractal is an enterprise AI and analytics company that positions itself around AI engineered for scale and designed for impact. The company says it helps enterprises transform decision-making, supply chains, customer engagement, and business operations using AI.
Fractal is useful to include because it represents India’s shift from traditional IT services to AI-first analytics, decision intelligence, and enterprise AI platforms.
Best for: Enterprise AI, decision intelligence, analytics, customer intelligence, supply-chain AI, and AI consulting.
6. Persistent Systems
Persistent Systems is a listed Indian technology company focused on digital engineering, cloud, software product development, data, and AI-led transformation.
Persistent Systems is relevant in the AI companies in India list because many enterprises use digital engineering firms for product engineering, cloud-native development, data engineering, AI-enabled modernization, and software transformation.
Best for: AI-led software engineering, cloud, data platforms, product engineering, and enterprise digital transformation.
7. Tata Elxsi
Tata Elxsi is a listed Indian design and technology services company working across automotive, media, communications, healthcare, and transportation.
Tata Elxsi is relevant to AI because AI, machine learning, embedded systems, design, and digital engineering are increasingly used in connected vehicles, media platforms, healthcare systems, and smart products.
Best for: Automotive AI, product engineering, embedded AI, media technology, healthcare technology, and design-led engineering.
8. Sarvam AI
Sarvam AI describes itself as India’s sovereign AI platform, built on sovereign compute and powered by models designed for India. Its platform includes text-to-speech, speech-to-text, voice agents, document digitisation, dubbing, translation, and Indic AI APIs.
Sarvam is important for India because the country needs AI systems that understand local languages, accents, scripts, and code-mixed communication. Sarvam’s official platform highlights Indian-language AI, enterprise workflows, voice agents, and deployment flexibility for regulated environments.
Best for: Indian-language GenAI, voice AI, Indic AI APIs, sovereign AI, and enterprise AI agents.
9. Krutrim
Krutrim Cloud positions itself as India’s AI-first cloud platform. Its official website highlights AI workloads such as distributed training on GPU clusters, model fine-tuning, low-latency inference, model deployment, storage, networking, and orchestration.
Krutrim is relevant for developers, startups, and enterprises that need India-based AI infrastructure, GPU access, AI deployment, and cloud services. The company also highlights “data stays in India” and developer-first AI cloud infrastructure.
Best for: AI cloud, GPU clusters, model deployment, LLM inference, and India-native AI infrastructure.
10. Yellow.ai
Yellow.ai is an agentic AI platform for customer experience and employee experience automation. Its official website says the platform supports AI agents that think, act, and resolve across voice, chat, and email.
Yellow.ai also says its platform uses 15+ cutting-edge LLMs, supports human-like conversations via voice, chat, and email, offers 150+ plug-and-play integrations, and is trusted by 1,300+ global brands.
Best for: Agentic conversational AI, customer support automation, employee support automation, voice agents, and enterprise integrations.
11. Uniphore
Uniphore describes itself as a Business AI company. Its Business AI Cloud unifies data, knowledge, models, and agents to power AI execution across enterprise workflows.
Uniphore highlights agentic AI use cases across back-office and front-office operations, including risk and compliance, employee operations, finance operations, procurement, revenue operations, marketing activation, and CX automation.
Best for: Business AI, enterprise agents, agentic workflows, CX automation, compliance AI, and production-grade enterprise AI.
12. Qure.ai
Qure.ai is a healthcare AI company focused on medical imaging and clinical workflows. Its official website highlights AI-supported healthcare pathways for tuberculosis, lung cancer, and stroke care.
Qure.ai says its solutions have impacted 45M+ lives to date, operate across 105+ countries via 5,500+ sites, and support healthcare use cases such as TB screening, lung cancer detection, and stroke coordination.
Best for: Healthcare AI, medical imaging AI, TB screening, lung health, stroke workflows, and diagnostic support.
13. Niramai
Niramai is a Bengaluru-based healthcare AI company focused on breast cancer screening. Its solution uses AI and machine learning with thermal imaging for breast health screening.
Niramai says its technology is backed by 39 patents and 55+ clinically reviewed publications, has screened 300,000+ women, and is available in 22+ countries.
Best for: Breast cancer screening AI, thermal imaging, women’s health, and early detection support.
14. Cropin
Cropin is an AI-first agritech company based in India. Its platform uses AI, GenAI, crop intelligence, climate intelligence, plot-level data, remote monitoring, and predictive insights for agriculture and food systems.
Cropin says its Cropin Intelligence product offers GenAI-powered, hyper-customized agentic AI solutions with 22+ deep-learning models for predictive insights and AI-led agriculture transformation.
Best for: Agritech AI, crop intelligence, smart farming, climate intelligence, food supply chains, and agricultural decision support.
15. Locus
Locus is a logistics AI company with Indian roots. Its platform helps enterprises optimize delivery, dispatch planning, route planning, fulfillment automation, capacity management, track-and-trace, and logistics analytics.
Locus says its logistics platform is trusted by 360+ brands across 30+ countries and has optimized 1.5B+ deliveries. It also highlights AI-powered logistics for captive, contracted, outsourced, and hybrid fleets.
Best for: Route optimization, dispatch planning, delivery orchestration, last-mile logistics, and supply-chain efficiency.
16. Arya.ai
Arya.ai focuses on enterprise-grade AI solutions, especially for banks, insurance companies, and financial institutions.
Its official website highlights use cases such as cash-flow analysis, early warning systems, transaction anomaly detection, intelligent document processing, smart onboarding, fraud risk management, automated underwriting, and claims processing.
Best for: Banking AI, insurance AI, lending AI, fraud detection, risk assessment, and AI APIs.
17. Mad Street Den
Mad Street Den is an Indian-origin enterprise AI company. Its official website positions the company around an enterprise AI stack designed to deliver business outcomes.
The company has been associated with AI for retail, visual intelligence, and enterprise AI products. It is useful to include for readers searching for AI product companies in India rather than only large IT services companies.
Best for: Enterprise AI, retail AI, visual intelligence, and AI platforms.
18. Haptik
Jio Haptik is a conversational AI and customer experience AI company. Its platform focuses on AI agents for customer service, sales, booking, lead qualification, WhatsApp, voice, web chat, and enterprise support.
Haptik says its AI agents deliver human-like customer experiences and that the platform is trusted by 500+ leading enterprises. Its AI agent platform includes voice agents, support agents, sales agents, booking agents, lead qualification agents, and multilingual support.
Best for: Conversational AI, customer support AI agents, WhatsApp automation, voice AI agents, and customer experience automation.
19. Gnani.ai
Gnani.ai is a Bengaluru-based voice AI company. It focuses on speech-to-text, text-to-speech, voice agents, voice biometrics, agent assist, analytics, and enterprise voice automation.
Gnani.ai says its voice AI models are trained on 14 million hours of telephonic audio across 40+ languages and that it processes over 30 million voice interactions daily for 200+ enterprises across banking, insurance, healthcare, and government.
Best for: Voice AI, speech recognition, text-to-speech, voice agents, call-center AI, and voice biometrics.
20. LTTS
L&T Technology Services is a listed Indian engineering R&D company. It is relevant to AI because engineering services increasingly combine AI, IoT, embedded systems, digital twins, cloud, analytics, and product engineering for industrial, automotive, telecom, healthcare, and manufacturing clients.
Best for: Engineering AI, industrial AI, product engineering, smart manufacturing, connected products, and digital engineering.
Best Agentic AI Companies in India
Agentic AI refers to AI systems that can plan, reason, use tools, retrieve information, take actions, and complete multi-step workflows with less manual intervention than traditional chatbots.
Some of the best agentic AI companies in India or with strong India connections include:
| Company | Agentic AI strength |
|---|---|
| HCLTech | AI Force for software engineering, IT operations, data workflows, SAP, Oracle, and enterprise automation |
| Infosys | Infosys Topaz and enterprise AI offerings for business transformation |
| Yellow.ai | Customer and employee experience AI agents |
| Uniphore | Business AI Cloud for enterprise agents and agentic workflows |
| Sarvam AI | Indian-language voice agents and enterprise AI workflows |
| Krutrim | AI infrastructure for training, inference, and agentic AI applications |
| Cropin | Agentic AI for agriculture intelligence and predictive decision-making |
| Haptik | AI agents for customer service, sales, booking, and lead qualification |
| Gnani.ai | Voice agents for collections, support, KYC, and outbound workflows |
| Locus | AI-powered logistics automation and route decisioning |
AI Companies in India Listed in Stock Market
India has very few pure-play AI stocks. Most listed AI-related companies are IT services, engineering services, software, analytics, adtech, fintech, or digital transformation companies with AI exposure.
| Listed company | Why it is included in AI-related lists |
|---|---|
| TCS | Enterprise AI services, automation, cloud, and AI-led transformation |
| Infosys | Infosys Topaz, GenAI platforms, AI assets, and enterprise AI services |
| Wipro | Applied AI, cloud, cybersecurity, enterprise AI implementation |
| HCLTech | AI Force, GenAI, agentic AI, IT operations automation |
| Persistent Systems | AI-led software engineering and digital transformation |
| Tata Elxsi | AI in automotive, healthcare, media, and product engineering |
| LTTS | AI in engineering R&D, industrial technology, and connected products |
| Tech Mahindra | AI, telecom, digital transformation, and enterprise automation |
| LTIMindtree | AI, cloud, data, and enterprise digital transformation |
| Happiest Minds | GenAI, digital engineering, analytics, and cloud services |
| Cyient | Engineering, digital, data, and industrial technology services |
| Bosch India | AI in automotive, mobility, industrial technology, and IoT |
| Oracle Financial Services Software | Financial software, data, analytics, and enterprise technology |
| Affle | AI-driven adtech, consumer intelligence, and digital advertising |
| Saksoft | Data engineering, analytics, and digital transformation |
| RateGain | AI and data products for travel and hospitality technology |
Best AI Stocks in India to Research
For large-cap AI exposure, investors usually research TCS, Infosys, HCLTech, Wipro, Tech Mahindra, LTIMindtree, Persistent Systems, Tata Elxsi, and LTTS.
For mid-cap or smaller AI-related exposure, investors may research companies such as Happiest Minds, Saksoft, Affle, RateGain, and Cyient.
Do not buy any stock only because it appears in an “AI stocks” list. Check revenue contribution from AI, client concentration, margins, valuation, cash flow, debt, order book, management commentary, and risk factors.
Best AI Companies in India to Work For
The best AI company to work for depends on your goal.
For large-scale enterprise AI careers
- TCS
- Infosys
- Wipro
- HCLTech
- Persistent Systems
- LTIMindtree
- Tech Mahindra
- LTTS
- Tata Elxsi
For AI product and startup roles
- Sarvam AI
- Krutrim
- Yellow.ai
- Uniphore
- Qure.ai
- Niramai
- Cropin
- Arya.ai
- Mad Street Den
- Haptik
- Gnani.ai
- Locus
For research-heavy AI roles, look for companies working on LLMs, speech AI, computer vision, medical imaging, reinforcement learning, data platforms, AI infrastructure, MLOps, and model deployment.
Freshers and interns should build practical projects in Python, machine learning, deep learning, NLP, computer vision, LLM apps, RAG, vector databases, cloud deployment, data engineering, and MLOps. A strong GitHub portfolio is often more valuable than a generic certificate.
Best AI Companies in India by City
| City | AI strengths |
|---|---|
| Bengaluru | GenAI startups, SaaS, AI research, AI cloud, enterprise AI, voice AI |
| Hyderabad | Product engineering, cloud, healthcare AI, data platforms, enterprise tech |
| Pune | IT services, analytics, digital engineering, AI consulting |
| Mumbai | Fintech AI, analytics, enterprise AI, conversational AI, healthcare AI |
| Chennai | Enterprise AI, automotive AI, product engineering, conversational AI |
| Delhi NCR | Enterprise AI, government AI, SaaS, AI consulting, IT services |
| Ahmedabad / GIFT City | Fintech AI, payments, fraud detection, financial technology |
Bengaluru is one of India’s most active AI hubs, but AI hiring is now spread across Hyderabad, Pune, Mumbai, Chennai, Delhi NCR, and remote-first teams.
AI Companies in India by Category
GenAI companies in India
- Sarvam AI
- Krutrim
- Infosys Topaz
- HCLTech AI Force
- Yellow.ai
- Uniphore
- Gnani.ai
- Haptik
- Cropin
Healthcare AI companies in India
- Qure.ai
- Niramai
- Tata Elxsi
- Gnani.ai
- Haptik
Conversational AI and voice AI companies in India
- Yellow.ai
- Haptik
- Gnani.ai
- Sarvam AI
- Uniphore
Agritech AI companies in India
- Cropin
- SatSure
- Fasal
- DeHaat’s data-led agriculture platforms
Logistics and supply-chain AI companies in India
- Locus
- Delhivery’s logistics technology stack
- FarEye
- Pickrr / Shiprocket ecosystem tools
BFSI AI companies in India
- Arya.ai
- Uniphore
- Gnani.ai
- Infosys
- TCS
- HCLTech
- Oracle Financial Services Software
Future of AI Companies in India
The next wave of AI companies in India will likely grow in five areas.
First, Indian-language GenAI will expand because India needs AI systems that understand Hindi, Tamil, Telugu, Bengali, Marathi, Kannada, Malayalam, Gujarati, Punjabi, and code-mixed speech.
Second, agentic AI will move from chatbot responses to workflow automation. Companies will use agents for software development, customer support, finance operations, procurement, HR, legal, compliance, and IT operations.
Third, AI infrastructure will become more important. GPU access, sovereign cloud, model hosting, inference optimization, deployment flexibility, and secure enterprise AI infrastructure will matter for Indian startups and large companies.
Fourth, vertical AI will grow in healthcare, agriculture, BFSI, logistics, education, retail, and manufacturing. These sectors need domain-specific AI instead of generic AI tools.
Fifth, responsible AI and governance will become a major enterprise requirement. Large companies will prefer AI vendors that provide audit trails, model governance, security controls, data residency, compliance support, and human oversight.
Conclusion
AI companies in India are becoming important across enterprise technology, GenAI, agentic AI, healthcare, agriculture, fintech, logistics, retail, voice AI, and the stock market. The strongest companies are not simply those using AI as a buzzword, but those building real products, solving domain-specific problems, deploying AI at scale, and creating measurable business outcomes.
For enterprises, companies like TCS, Infosys, HCLTech, Wipro, Fractal, Yellow.ai, Uniphore, Sarvam AI, and Krutrim are worth watching. For healthcare and agriculture, Qure.ai, Niramai, and Cropin show how Indian AI companies can solve sector-specific problems. For students and job seekers, the biggest opportunity is to build practical skills in GenAI, machine learning, LLM apps, RAG, MLOps, data engineering, cloud deployment, and AI product development.
For investors, AI-related listed companies require deeper financial analysis. Always verify revenue contribution, valuation, filings, risks, and share-price data before making any investment decision.
FAQs
Which company is leading AI in India?
There is no single AI leader for every category. TCS, Infosys, Wipro, and HCLTech are major enterprise AI service providers. Sarvam AI and Krutrim are important in India-focused GenAI and AI infrastructure. Fractal is notable in enterprise AI and analytics, while Qure.ai and Niramai are strong examples of healthcare AI companies.
Who are the top 10 AI companies in India?
A practical top 10 list includes TCS, Infosys, HCLTech, Wipro, Fractal, Persistent Systems, Tata Elxsi, Sarvam AI, Krutrim, and Yellow.ai. Depending on the category, Uniphore, Qure.ai, Niramai, Cropin, Locus, Arya.ai, Haptik, and Gnani.ai also deserve inclusion.
Who are the 7 AI companies in India?
Seven prominent AI companies in India are TCS, Infosys, HCLTech, Fractal, Sarvam AI, Krutrim, and Qure.ai. These represent enterprise AI, GenAI, agentic AI, AI infrastructure, and healthcare AI.
What are the best 5 AI stocks to research in India?
Five large AI-related listed companies to research are TCS, Infosys, HCLTech, Wipro, and Persistent Systems. Investors may also research Tata Elxsi, LTTS, Tech Mahindra, LTIMindtree, Happiest Minds, Affle, Saksoft, and RateGain. This is not investment advice.
Which AI companies in India are listed on NSE?
AI-related companies listed on Indian stock exchanges include TCS, Infosys, Wipro, HCLTech, Tech Mahindra, LTIMindtree, Persistent Systems, Tata Elxsi, LTTS, Happiest Minds, Cyient, Affle, Saksoft, RateGain, Bosch, and Oracle Financial Services Software. Always verify current listing and share-price data on NSE, BSE, or your broker platform.
Which are the best agentic AI companies in India?
Notable agentic AI companies in India or with strong India connections include HCLTech, Infosys, Yellow.ai, Uniphore, Sarvam AI, Krutrim, Cropin, Haptik, Gnani.ai, and Locus.
Which AI companies in India are best for internships?
For internships, students can target TCS, Infosys, Wipro, HCLTech, Persistent Systems, Fractal, Tata Elxsi, Sarvam AI, Krutrim, Yellow.ai, Qure.ai, Cropin, Niramai, Arya.ai, Haptik, Gnani.ai, and early-stage AI startups. A portfolio with practical projects improves your chances.
Are there small-cap AI companies in India?
Yes, some smaller listed companies may have AI exposure through analytics, adtech, fintech, SaaS, engineering services, or digital transformation. However, small-cap AI stocks can be volatile, and AI branding does not always mean meaningful AI revenue.
Which city has the most AI companies in India?
Bengaluru is one of India’s most active AI hubs, especially for GenAI startups, SaaS, AI infrastructure, and product companies. Hyderabad, Pune, Mumbai, Chennai, and Delhi NCR also have strong AI ecosystems.