Top 100 Indian AI Startups to Watch in 2026

Artificial intelligence is no longer just a technology trend in India. It is becoming a major part of how startups build products, serve customers, automate businesses and solve problems that were once difficult or expensive to address.

From generative AI and large language models to healthcare, fintech, customer service, marketing, cybersecurity, developer tools and AI infrastructure, Indian startups are building across almost every layer of the AI ecosystem.

The momentum is significant. India had more than 170 homegrown AI startups tracked in early 2026, with more than $1.5 billion raised since 2020, according to Inc42. Its research also estimates that India’s AI market could become a $126 billion opportunity by 2030.

Funding has accelerated further in 2026. Indian AI startups raised about $676 million across 57 deals in the first half of 2026, more than four times the funding recorded in the first half of 2025.

This growth is creating an interesting opportunity for founders, investors, students and aspiring entrepreneurs. The next generation of Indian AI companies may not simply copy global AI products. Many are building solutions around India’s languages, businesses, healthcare systems, consumers and unique market conditions.

What Makes an Indian AI Startup Stand Out?

A strong AI startup needs more than an AI model.

The most promising companies are combining technology with a clear customer problem, proprietary data, distribution, domain expertise and a sustainable business model. Some are developing foundational AI infrastructure, while others are applying existing models to specific industries.

This distinction is important because India’s AI ecosystem is developing across several layers. These include AI infrastructure, foundation models, enterprise applications, vertical AI, generative AI, automation, computer vision, voice AI and developer infrastructure.

The following list is a curated selection of 100 Indian-origin or India-linked AI startups worth watching. It is not a strict ranking from #1 to #100. The companies have been selected based on factors such as technology, funding, market opportunity, product relevance, innovation, growth and visibility within India’s AI ecosystem.

Top 100 Indian AI Startups

1. Eightfold AI

Founded in 2016, Eightfold AI uses artificial intelligence for talent intelligence and recruitment. Its platform helps organizations understand skills, match people with opportunities and improve workforce planning.

2. Observe.AI

Observe.AI focuses on conversational intelligence for contact centres. Its AI technology can analyze customer conversations and help businesses improve customer service and sales operations.

3. Pixis

Pixis provides AI-powered marketing technology designed to help brands optimize and automate marketing campaigns. It is an example of an Indian-origin company applying AI directly to business growth.

4. DevRev

DevRev combines AI with software development and customer relationship workflows. Its platform aims to connect product, engineering and customer-facing teams through intelligent software tools.

5. Qure.ai

Qure.ai is one of India’s best-known healthcare AI companies. Its technology uses artificial intelligence and medical imaging to support healthcare professionals in areas such as disease detection and diagnosis.

6. VideoVerse

VideoVerse builds AI-powered technology for video creation and content workflows. Its products target the rapidly expanding demand for automated video production and media creation.

7. Emergent

Emergent is one of the newer AI startups attracting major attention. The company focuses on AI-powered software creation, allowing users to build applications with natural-language instructions.

Emergent raised significant capital in 2026 and became one of India’s new AI unicorns, highlighting how quickly the country’s AI startup landscape is evolving.

8. CodeRabbit

CodeRabbit uses AI to assist software developers with code reviews. Its technology can analyze pull requests and provide automated feedback, helping development teams improve software quality.

9. Krutrim

Krutrim, founded by Bhavish Aggarwal, is focused on building India-oriented AI models and infrastructure. Its ambitions include large language models, AI computing and indigenous technology.

The company has positioned itself around the idea of building AI specifically for India’s languages and requirements.

10. Jiffy.ai

Jiffy.ai applies artificial intelligence and automation to enterprise workflows. Its technology helps organizations automate repetitive business processes and improve operational efficiency.

11. Ema

Ema develops AI employees and agents designed to perform business tasks autonomously. The company is part of the growing wave of startups moving from AI assistants toward AI agents.

12. Neuron7

Neuron7 focuses on AI-powered service intelligence. Its technology helps enterprises turn large amounts of service and operational knowledge into actionable information.

13. InVideo

InVideo has evolved into an AI-powered video creation platform. Users can provide prompts and generate videos with scripts, scenes, voiceovers and other production elements.

14. MathCo

MathCo combines data science, analytics and AI to help enterprises make better business decisions. It works particularly on advanced analytics and decision intelligence.

15. Neysa

Neysa operates in AI infrastructure, particularly around accelerated computing and AI cloud infrastructure. The company represents an important part of India’s effort to expand domestic AI compute capacity.

AI infrastructure has become increasingly important because access to GPUs and computing capacity remains one of the biggest constraints for AI companies. CRISIL notes that infrastructure attracted a major share of India’s AI capital between 2022 and mid-2026.

16. Sarvam AI

Sarvam AI is building AI models and products designed specifically for Indian use cases and languages.

The Bengaluru-based company has become one of India’s most prominent foundation-model startups. In 2026, Sarvam announced plans for a trillion-parameter model, signalling its ambition to compete at the global frontier.

17. Leena AI

Leena AI develops conversational AI and automation solutions for enterprises. Its technology has focused on employee experience, HR and business process automation.

18. Atomicwork

Atomicwork combines enterprise service management with AI. Its platform helps organizations automate internal service requests and workflows.

19. Nanonets

Nanonets uses AI and machine learning to automate document processing and business workflows. It is particularly relevant for companies dealing with large volumes of unstructured documents.

20. Entropik

Entropik focuses on consumer and customer intelligence. Its AI-powered technology helps businesses understand customer experiences, emotions and behaviour.

21. Avaamo

Avaamo develops conversational AI solutions for enterprises. Its technology is designed to automate customer and employee interactions through intelligent virtual assistants.

22. Nurix AI

Nurix AI is building AI-powered enterprise solutions and agents. It represents the newer generation of Indian startups using generative AI to automate knowledge-heavy business tasks.

23. SuperOps

SuperOps provides AI-powered technology for IT management and managed service providers. Its platform helps IT teams automate monitoring, service management and operational tasks.

24. PlayAI

PlayAI focuses on voice and conversational AI. Its technology is aimed at creating more natural interactions between people and AI systems.

25. Spyne

Spyne uses AI for visual content creation and automation, particularly for automotive and ecommerce businesses. Its technology can help businesses generate and enhance product imagery at scale.

26. Enterpret

Enterpret uses AI to analyze customer feedback. It helps companies organize large amounts of qualitative feedback and turn it into insights for product and business teams.

27. Eureka AI

Eureka AI works in data and artificial intelligence, helping organizations use data-driven intelligence for business decision-making.

28. UnifyApps

UnifyApps combines application development, integration and AI to help businesses build and connect enterprise applications faster.

29. TrueFoundry

TrueFoundry focuses on AI infrastructure and machine learning operations. It helps organizations deploy, manage and scale machine-learning and generative-AI applications.

30. Two Platforms

Two Platforms works on AI and digital-human technology. Its products explore interactive AI experiences involving virtual humans and conversational interfaces.

31. Contlo

Contlo applies AI to ecommerce marketing. Its platform helps brands automate marketing campaigns and customer engagement using AI.

32. Fireflies.ai

Fireflies.ai uses AI to record, transcribe and summarize meetings. Its technology helps teams capture conversations and turn meetings into searchable knowledge.

33. Prismforce

Prismforce uses AI and analytics for workforce intelligence. Its platform helps technology companies understand skills, workforce capacity and talent requirements.

34. NextBillion.ai

NextBillion.ai builds mapping and location intelligence infrastructure. Its AI-powered technology is useful for businesses building logistics, mobility and location-based applications.

35. Actyv.ai

Actyv.ai combines AI with enterprise commerce and supply-chain processes. It focuses on helping businesses digitize and automate B2B operations.

36. Murf AI

Murf AI is a Bengaluru-origin voice AI company known for AI-powered voice generation and text-to-speech technology. Its platform is used to create voiceovers for content, training and business applications.

37. Singulr

Singulr focuses on AI-powered enterprise technology and automation. It is part of India’s growing group of early-stage companies building specialized AI products.

38. Vahan AI

Vahan AI uses artificial intelligence for recruitment and workforce solutions. It has focused on connecting workers and businesses through technology.

39. DhiWise

DhiWise uses AI and automation to help developers build software faster. Its technology focuses on accelerating application development and reducing repetitive development work.

40. Bito AI

Bito AI builds AI-powered tools for software developers. Its products help developers generate, understand and improve code.

41. OrbitShift

OrbitShift focuses on AI-powered sales and go-to-market intelligence. Its technology helps businesses identify opportunities and automate parts of their sales workflow.

42. Nektar AI

Nektar AI works on revenue intelligence and customer data. Its AI technology helps businesses understand customer relationships and improve sales operations.

43. Myelin Foundry

Myelin Foundry develops AI technology designed to run efficiently on devices and edge environments. Its work is particularly relevant to AI applications where low latency and local processing matter.

44. MaxIQ

MaxIQ applies AI to enterprise and industrial use cases. The company focuses on using intelligent technology to improve business processes and decision-making.

45. Beacon.Li

Beacon.Li develops AI-powered enterprise technology. It represents the growing category of early-stage companies using AI to improve specialized business workflows.

46. BrainsightAI

BrainsightAI focuses on AI applications for healthcare and medical intelligence. Its work demonstrates the growing use of AI in specialized healthcare environments.

47. QpiAI

QpiAI works at the intersection of artificial intelligence and quantum computing. The company is exploring advanced computing technologies for complex industrial and scientific problems.

48. Rumik AI

Rumik AI develops AI solutions for business and enterprise applications. It is among the newer Indian startups working on practical generative-AI use cases.

49. Assert AI

Assert AI focuses on computer vision. Its technology can be used to automate visual inspection, monitoring and operational processes.

50. Astrosure AI

Astrosure AI applies AI to insurance and risk-related use cases. It represents the growing adoption of artificial intelligence in financial services and risk assessment.

51. Samya AI

Samya AI uses AI and data intelligence to help businesses improve commercial decision-making. Its focus includes pricing, revenue and growth-related applications.

52. SiftHub

SiftHub develops AI-powered solutions for business intelligence and sales workflows. The company is part of the growing AI application layer in India’s startup ecosystem.

53. Wokelo

Wokelo applies AI to research and business intelligence. Its technology helps users extract insights from large amounts of information.

54. Upliance.ai

Upliance.ai combines AI with smart kitchen technology. It demonstrates how Indian startups are extending AI beyond enterprise software into consumer products.

55. LimeChat

LimeChat uses AI-powered conversational technology for ecommerce and customer support. It helps brands automate customer interactions across digital channels.

56. RagaAI

RagaAI focuses on AI testing and evaluation. Its technology helps companies assess the performance and reliability of AI systems.

57. Redbrick AI

Redbrick AI works on computer vision and visual intelligence. Its technology targets businesses that need AI-powered analysis of visual data.

58. Kombai

Kombai uses AI to help developers and designers translate designs into software interfaces. It is part of the emerging AI-assisted software development ecosystem.

59. BarRaiser

BarRaiser uses AI to improve technical hiring and interviews. Its platform helps organizations structure and evaluate candidate interviews.

60. Maieutic Semiconductor

Maieutic Semiconductor works on semiconductor technology related to AI and advanced computing. Its focus reflects India’s growing interest in the hardware layer of the AI ecosystem.

61. Binocs

Binocs uses AI and data to support financial and accounting processes. It is part of the growing fintech-AI category in India.

62. CoRover

CoRover develops conversational AI and virtual assistants. Its products have been used for customer service and public-facing digital interactions.

63. Gnani AI

Gnani AI focuses on voice AI and conversational technology. Its systems are designed to help businesses automate voice-based interactions.

64. Navikenz

Navikenz applies AI and data science to enterprise decision-making. Its technology focuses on turning business data into actionable intelligence.

65. Thesys

Thesys works on generative AI infrastructure and user-interface experiences. Its technology targets developers building AI-powered applications.

66. Phot.AI

Phot.AI uses generative AI for image creation and editing. Its technology is aimed at businesses and creators that need automated visual content.

67. Obviously AI

Obviously AI develops no-code AI and predictive analytics tools. Its approach makes machine learning more accessible to business users without deep technical expertise.

68. Highperformr AI

Highperformr AI focuses on data and intelligence for revenue and business teams. Its products help companies turn information into actionable insights.

69. Nexstem

Nexstem combines AI with brain-computer interface technology. Its work explores how neural signals can be captured and interpreted through advanced computing.

70. Scalenut

Scalenut uses generative AI for content creation, search optimization and marketing workflows. It is an example of AI being applied to the digital marketing industry.

71. Onetab AI

Onetab AI develops AI-powered productivity technology. Its products aim to help users manage information and digital workflows more efficiently.

72. Blend AI

Blend AI focuses on AI applications for business and industry. It is part of the growing group of early-stage startups building specialized AI-powered products.

73. Arrowhead

Arrowhead develops AI solutions for business applications. Its work reflects the expansion of AI from experimental technology into practical enterprise workflows.

74. August AI

August AI focuses on healthcare-oriented AI applications. It demonstrates how startups are using artificial intelligence to improve access to health information and services.

75. Athina AI

Athina AI builds infrastructure for AI development and evaluation. Its technology is aimed at teams developing and deploying modern AI applications.

76. Finbots AI

Finbots AI applies artificial intelligence to financial services. Its technology helps financial institutions use data and predictive intelligence for lending and related decisions.

77. Portkey

Portkey develops AI infrastructure for teams building applications on top of large language models. It helps developers manage and operate AI applications at scale.

78. Presentations AI

Presentations AI uses generative AI to help users create presentations. It targets professionals and businesses that want to reduce the time required to create visual business content.

79. Zocket

Zocket uses AI to automate digital advertising and marketing activities. Its technology is aimed at helping businesses create and manage advertising campaigns more efficiently.

80. KOGO AI

KOGO AI combines AI with travel and location-based experiences. Its technology aims to make travel discovery and planning more personalized.

81. Drizz

Drizz works on AI infrastructure and developer tools. Its focus is aligned with the increasing need for reliable infrastructure around modern AI applications.

82. Neuralzome Cybernetics

Neuralzome Cybernetics works on AI infrastructure and advanced computing technologies. It represents India’s growing deep-tech AI ecosystem.

83. Orbo AI

Orbo AI applies computer vision and AI to visual applications. Its technology has been used in areas such as image enhancement and beauty-related applications.

84. CompUP

CompUP develops AI technology for business and operational applications. It is among the early-stage companies building practical AI solutions from India.

85. NeuralGarage

NeuralGarage, known for VisualDub, uses AI for video and visual content generation. Its technology addresses the growing demand for localized and automated video content.

86. Pipeshift

Pipeshift develops infrastructure for AI and machine-learning workloads. Its focus is on helping teams deploy and operate AI systems efficiently.

87. ZINI

ZINI develops AI-powered consumer technology. Its products explore how artificial intelligence can become part of everyday digital experiences.

88. CodeKarma

CodeKarma focuses on AI-powered software development infrastructure. Its technology aims to improve developer productivity and the way AI-generated code is created and managed.

89. Enkrypt AI

Enkrypt AI focuses on AI security and governance. Its technology helps organizations address security, safety and reliability challenges associated with generative AI.

90. Alltius

Alltius develops enterprise AI agents designed to automate knowledge-intensive workflows. It is part of the growing movement toward AI employees and autonomous business agents.

91. Beatoven AI

Beatoven AI uses generative AI to create music for videos and digital content. It demonstrates the growing role of AI in creative industries.

92. Vodex

Vodex focuses on AI-powered voice and communication technology. Its products target automated business conversations and customer interactions.

93. Slang Labs

Slang Labs develops voice and conversational AI technology. Its work is particularly relevant to voice interfaces and multilingual digital experiences.

94. Gushwork AI

Gushwork AI applies generative AI and automation to business workflows. It is part of India’s growing ecosystem of AI-first companies serving small and medium-sized businesses.

95. Clodura AI

Clodura AI provides sales intelligence and business information through AI-powered technology. Its platform helps sales teams discover prospects and improve go-to-market activities.

96. Frammer AI

Frammer AI uses artificial intelligence to automate video creation and editing. Its technology is particularly relevant to publishers, media companies and content creators.

97. Almonds AI

Almonds AI develops AI-powered business solutions. It is among the early-stage companies working on practical applications of AI for enterprises.

98. Gobblecube

Gobblecube develops AI-powered technology for business and consumer applications. It represents the expanding group of young Indian AI startups experimenting with generative AI.

99. Maino AI

Maino AI focuses on AI-powered business solutions and automation. The company is part of the new generation of Indian startups building application-layer AI products.

100. Nitro Commerce

Nitro Commerce applies AI to ecommerce and digital commerce. Its technology focuses on helping businesses improve online customer acquisition, engagement and commerce operations.

The Bigger Picture: India’s AI Startup Opportunity

The most interesting part of India’s AI story is not simply the number of startups.

It is the diversity of problems they are trying to solve.

Some companies are building large language models. Others are creating AI infrastructure, voice assistants, healthcare tools, developer platforms, marketing systems, financial intelligence products and computer-vision applications.

This creates a layered AI ecosystem.

• At the foundation layer, companies such as Sarvam AI and Krutrim are working toward India-focused models and AI infrastructure.
• At the infrastructure layer, companies such as Neysa, TrueFoundry, Portkey and other startups are addressing the compute and deployment requirements needed to run AI at scale.
• At the application layer, startups such as Nanonets, Atomicwork, Ema, Observe.AI, Murf AI, Spyne and Scalenut are applying AI directly to business and consumer problems.

Healthcare is another important opportunity. Companies such as Qure.ai and other health-focused startups show how AI can potentially improve medical imaging, diagnosis support and healthcare accessibility.

The opportunity is also becoming more global. Many Indian-origin AI startups are building products for customers outside India while maintaining significant engineering and innovation operations in the country.

Why Indian AI Startups Could Become Global Companies

India has several advantages that could support the next wave of AI startups.

The country has a large technology talent base, a massive consumer market, strong digital infrastructure and an increasingly active AI policy environment.

India’s multilingual population is another potential advantage. Building AI systems that understand Indian languages, accents, cultural context and local business environments can create valuable intellectual property and distribution opportunities.

There is also a growing focus on sovereign AI.

Sarvam’s partnerships and model development illustrate this direction. In 2026, IBM and Sarvam announced a partnership to develop sovereign AI solutions for Indian government departments, public-sector organizations and regulated enterprises.

The funding environment is also becoming more supportive. AI funding in the first half of 2026 reached $676 million across 57 deals, compared with $162 million across 30 deals during the first half of 2025, according to Inc42.

But funding alone will not determine which companies win.

The Real Test for Indian AI Startups

The next phase will be about commercial execution.

Building an impressive AI model is expensive. Training, inference, data, GPUs, engineering talent and cybersecurity can quickly increase costs.

That means startups will need to answer a simple question:

Will customers actually pay for the AI product?

This is especially important as global AI models become increasingly powerful and accessible.

A startup that simply places a chatbot on top of an existing model may find it difficult to maintain a long-term competitive advantage. Stronger businesses are likely to develop proprietary data, domain expertise, workflows, distribution or technology that competitors cannot easily replicate.

CRISIL similarly identifies compute infrastructure, growth capital and commercial viability as three major tests for India’s AI ecosystem.

What Aspiring Founders Can Learn

The Indian AI startup ecosystem offers an important lesson for aspiring founders.

You do not necessarily need to build the next ChatGPT to create a valuable AI startup.

A founder can start with a specific industry problem.

Healthcare needs better diagnosis support. Small businesses need better marketing. Banks need smarter risk analysis. Developers need better coding tools. Enterprises need automation. Creators need faster video and audio production.

AI can become the technology layer that makes these solutions possible.

The strongest startup ideas may therefore come from combining AI + domain expertise + a painful customer problem.

For aspiring founders, this is an important shift in thinking. Instead of asking, “What AI product should I build?”, ask:

“What expensive, repetitive or difficult problem can AI solve significantly better?”

That question can lead to much stronger startup opportunities.

Final Thoughts

India’s AI startup ecosystem is entering an important phase.

The first wave was largely about experimentation. The next wave is likely to be about scale, enterprise adoption, infrastructure, AI agents, specialized models and measurable business outcomes.

The 100 companies featured in this list show how broad the opportunity has become. Some are working on foundation models and infrastructure. Others are transforming healthcare, finance, marketing, recruitment, customer service, software development, content creation and ecommerce.

Not every startup on this list will become a unicorn.

Some will fail. Some will be acquired. Others may discover completely new markets.

But together, they demonstrate something important: India is no longer only consuming AI technology. Indian founders are increasingly building AI technology for India and the world.

For aspiring entrepreneurs, investors and startup enthusiasts, this may be one of the most important technology ecosystems to watch over the next decade.

Key Takeaways

• India has developed a rapidly expanding AI startup ecosystem.
• More than 170 Indian AI startups were tracked in early 2026.
• Indian AI startups raised about $676 million in H1 2026 across 57 deals.
• Foundation models, AI infrastructure and enterprise applications are major growth areas.
• Healthcare, fintech, marketing, software development and customer service are among the strongest application categories.
• Indian-language and India-specific AI could become a major competitive advantage.
• Commercial viability will be as important as technical innovation.
• The next generation of successful Indian AI startups may be built around AI agents, vertical AI, sovereign AI and specialized enterprise solutions.

Important Note

The term “Top 100” does not mean that these companies are ranked strictly from best to worst. This is a curated editorial list intended to help readers discover notable Indian-origin and India-linked AI startups.

Startup funding, valuations, products, ownership structures and operating status can change quickly. The list should therefore be treated as a snapshot of India’s AI startup ecosystem in 2026, rather than a permanent ranking.