AI Companies in Delhi: 15 Top Firms to Know in 2026

15 AI Companies in Delhi to Know in 2026: Top AI Companies

Delhi NCR, which spans Delhi, Gurugram and Noida, has become one of India's busiest centres for applied artificial intelligence. Large enterprises sit alongside product startups, and the region draws talent from institutions such as IIT Delhi and IIIT Delhi. Indian AI startups raised $676 million across 57 deals in the first half of 2026, more than four times the amount raised in the same period of 2025, and NCR is part of that growth.

For buyers, the practical question is who can deliver. Businesses look for AI companies in Delhi to automate operations, build generative AI products, analyse data or modernise customer service. Professionals look at the same firms as potential employers. This guide covers 15 artificial intelligence companies with a Delhi NCR presence, plus how to evaluate them.

How this list was built: Companies were selected for their AI or machine learning capability, their relevance to business buyers, and a genuine NCR presence. The list is not ordered by quality, and no company is claimed to be "the best." Where a company is headquartered elsewhere, that is stated. Descriptions rely on each company's public positioning, so confirm current details directly with the company before you decide.

15 Best AI Companies in Delhi to Know in 2026

1. Innovaccer

Website: innovaccer.com

About the Company:
Innovaccer builds a healthcare data and AI platform that unifies clinical, claims and operational records into one view of the patient. Its products cover data activation, care management, patient engagement and analytics, mainly for US providers and payers. The company began in Noida and is now commonly listed with a San Francisco headquarters, while its NCR roots and engineering presence remain part of its story.

2. HCLTech

Website: hcltech.com

About the Company:
HCLTech is a global technology services company headquartered in Noida, making it one of the anchor employers of the NCR tech belt. It delivers AI and generative AI consulting, engineering, cloud and cybersecurity services to large enterprises in banking, healthcare, manufacturing and telecom. Its scale suits organisations that need end-to-end transformation programmes rather than a single point solution.

3. Genpact

Website: genpact.com

About the Company:
Genpact is a professional services firm headquartered in New York with a large operational base in Gurugram. It combines process expertise with data, analytics and generative AI to redesign finance, supply chain, procurement and customer operations. Banks, insurers, consumer goods makers and life sciences firms use it when they want AI built into existing business processes rather than added as a separate tool.

4. EXL

Website: exlservice.com

About the Company:
EXL is a data analytics and digital operations company headquartered in New York, with substantial delivery centres in Noida and Gurugram. It applies machine learning, analytics and AI-led automation to insurance, healthcare, banking and utilities clients. Its strength is operations-heavy sectors, where models must connect to claims handling, underwriting, collections and customer service workflows to produce measurable results.

5. Nagarro

Website: nagarro.com

About the Company:
Nagarro is a digital engineering company headquartered in Munich, with its Indian operations anchored around Gurugram. It builds software, data platforms and AI solutions for clients in retail, financial services, mobility and manufacturing. Companies that want engineering depth, from cloud migration to machine learning deployment, often shortlist Nagarro because AI work sits alongside broader product and platform development.

6. Sprinklr

Website: sprinklr.com

About the Company:
Sprinklr offers a unified customer experience management platform that applies AI to social listening, customer care, marketing and insights. Headquartered in New York, it maintains a significant engineering and operations presence in Gurugram. Large consumer brands use it to analyse customer conversations across channels and automate responses, which makes it relevant for businesses that treat AI as a customer-service and brand-intelligence tool.

7. Fractal

Website: fractal.ai

About the Company:
Fractal is an AI and analytics company headquartered in Mumbai that also operates from the Delhi NCR region, including Gurugram. It focuses on decision intelligence, helping consumer goods, financial services, healthcare and technology clients turn data into predictions and recommendations. Its mix of consulting, analytics and generative AI capabilities makes it a common reference point when enterprises compare AI partners.

8. Evalueserve

Website: evalueserve.com

About the Company:
Evalueserve is a research, analytics and AI services firm that started in the Gurugram area and now serves clients globally. It combines subject-matter expertise with data science and generative AI for market intelligence, financial research, intellectual property and supply chain analysis. This blend of domain specialists and technologists appeals to clients who need AI output reviewed by experienced analysts.

9. LeewayHertz

Website: leewayhertz.com

About the Company:
LeewayHertz is a Gurugram-based AI development company that offers consulting and end-to-end product builds. Its work spans generative AI applications, AI agents, machine learning models and blockchain-related projects for startups and enterprises. Because it handles strategy, design and engineering under one roof, it is often considered by organisations that want a custom AI product built from scratch rather than a packaged platform.

10. Appinventiv

Website: appinventiv.com

About the Company:
Appinventiv is a Noida-headquartered digital product company that integrates AI and machine learning into mobile and web applications. Typical projects include recommendation engines, chatbots, computer vision features and predictive analytics for fintech, healthcare, retail and logistics clients. It is notable for connecting AI to customer-facing products, which suits teams that want intelligent features inside an app rather than a standalone data science engagement.

11. ScalaCode

Website: scalacode.com

About the Company:
ScalaCode is a Noida-based software and AI engineering firm founded in 2012. By its own description, it works with clients in many countries and has offices in the United States, the United Kingdom and India. It targets startups and mid-sized businesses that need AI prototypes and product builds, which makes it a practical option for companies testing an idea before committing to larger investment.

12. SquadStack

Website: squadstack.com

About the Company:
SquadStack runs a hybrid sales and calling platform that pairs AI voice and automation tools with trained human agents. Its model is aimed at outbound sales, lead qualification and follow-up for growth-stage businesses. Sources place it in the Gurugram–Noida part of NCR, so confirm its current office address if location matters. It illustrates how voice AI is moving into everyday revenue operations.

13. Ripik.AI

Website: ripik.ai

About the Company:
Ripik.AI is a Noida-based industrial AI company whose platform, PlantBrain, helps manufacturers optimise energy use, quality and throughput in asset-heavy plants. It applies machine learning to sensor and process data, targeting sectors such as cement, steel and chemicals. Its focus on shop-floor problems rather than generic analytics makes it a notable example of AI startups in Delhi NCR serving heavy industry.

14. TrueFan AI

Website: truefan.ai

About the Company:
TrueFan AI is a Gurugram-based generative AI startup working on AI-generated personalised video content for brands and marketing teams. It raised a $10 million Series A in 2026, bringing its total funding to about $11 million. It is a good example of the newer wave of creative and media-focused AI startups emerging from the NCR corridor. inc42

15. Staqu Technologies

Website: staqu.com

About the Company:
Staqu is a Gurugram-based computer vision company best known for its JARVIS video analytics platform. The software analyses camera feeds to support security, retail and industrial monitoring use cases, including public safety. It is notable as an NCR-born deep-tech company applying vision AI to physical environments, an area where models must perform reliably on real-world footage rather than clean datasets.

How to Choose an AI Company in Delhi

A polished website says little about delivery quality. These factors separate capable partners from the rest.

AI expertise. Ask what share of the company's work is genuinely AI or machine learning, and whether it has data scientists and ML engineers on staff or relies on third-party APIs alone. Neither is wrong, but you should know which you are buying.

Technology capabilities. Check experience with the stack you need: generative AI, computer vision, NLP, predictive models, MLOps and cloud platforms. Ask how models are monitored and retrained after launch.

Industry experience. A firm that has worked in healthcare, manufacturing or banking already understands the data, regulations and workflows involved. This often matters more than raw technical skill.

Portfolio and case studies. Request case studies with measurable outcomes, and ask for client references you can speak to. Be cautious where results are described only in vague terms.

Team expertise. Find out who will actually work on your project. Senior people sometimes win the deal while junior teams deliver it.

Scalability. Prototypes are easy to demo. Ask how the solution handles more users, more data and integration with existing systems.

Pricing and support. Compare engagement models (fixed scope, time-and-materials, subscription), and clarify who owns the data, models and code. Confirm what post-launch support covers, since models degrade without maintenance.

Data security and compliance. For sensitive data, ask about security practices, access controls and how the firm handles India's data protection requirements.

AI Industry in Delhi in 2026

Delhi NCR's AI ecosystem has three layers. The first is enterprise and services firms, such as HCLTech, Genpact, EXL and Nagarro, which embed AI into large transformation programmes. The second is product startups, such as Innovaccer, Ripik.AI, TrueFan AI and Staqu, which build AI-native software. The third is AI development firms such as LeewayHertz, Appinventiv and ScalaCode, which build custom solutions for other businesses.

Funding signals the momentum. Indian AI startups raised close to $500 million across 63 deals in 2025, and Innovaccer had raised about $650.6 million across eight rounds. The H1 2026 figure of $676 million suggests the pace has increased.

Several trends stand out across the region:

• Generative AI has moved from experiments to production, particularly in content, customer support and software development.
• Agentic AI and automation are growing quickly, with startups building AI agents that complete multi-step business tasks.
• Voice AI is expanding in sales and support, driven by the large volume of customer calls in India's consumer sectors.
• Industrial and vision AI is gaining traction in manufacturing and security.
• Talent and research feed the ecosystem through IIT Delhi, IIIT Delhi and the region's large pool of engineers.

Delhi NCR also benefits from proximity to government policy bodies and to the large corporate offices concentrated in Gurugram, which gives AI vendors easy access to enterprise buyers. Gurugram tends to focus on applied enterprise AI, Noida on software and industrial products, and Delhi on research-linked ventures.

Final Thoughts

Delhi NCR offers a wide range of AI partners, from global services firms to focused AI startups. The right choice depends less on brand recognition and more on fit: relevant industry experience, proven delivery, a clear scope and honest conversations about cost and support. Shortlist two or three companies, ask for case studies and references, and start with a small pilot before committing to a larger programme.