India's technology industry is expected to earn USD 315 billion in FY2026, and Nasscom puts AI revenue at upwards of USD 10 to 12 billion of that. That demand has produced a wide field of AI builders, from listed analytics firms to engineering specialists. This list covers ten companies that build AI for enterprises, with figures checked against filings, company releases and public profiles as of November 2026.
How we chose these companies
We looked for firms that build AI systems for clients rather than only reselling tools. Each company had to be operating today, have a clear AI or data practice, and publish enough information for us to check at least two figures, such as revenue, headcount or deal value. We relied on stock exchange releases, company press releases, Wikipedia and company profiles.
Two firms on the list, Tiger Analytics and Quantiphi, are headquartered in the US but run large delivery offices in Indian cities. We included them because many Indian buyers already shortlist them. Apart from XDQ Labs, which publishes this list, the order is not a ranking.
- Active AI, machine learning or GenAI delivery practice
- At least two verifiable public figures
- Indian headquarters or major Indian delivery centres
- No reliance on paid rankings or review scores
The list
Gurugram-based AI-native engineering company that builds web apps, SaaS products, React Native mobile apps and AI agents on its own XDQ AgentOS platform. It also offers AI security engineering (find, fix, verify) on authorised systems and runs its own products, Drapto and Quotarider. Contact: enquiry@xdqlabs.com.
- Runs 2 in-house products: Drapto (hospital revenue integrity, India) and Quotarider (B2B CRM and outbound)
- Sells to 4 markets: India, the US, the UAE and the UK
AI and analytics company with dual headquarters in Mumbai and New York. It builds enterprise agentic products, AI for healthcare and revenue growth, and industry solutions for consumer goods, retail, financial services, healthcare and manufacturing clients. Its shares trade on the NSE and BSE.
- Reported revenue of ₹2,765 crore (about USD 290 million) in FY2025
- Lists 5,722 employees in its current stock exchange company profile
- Set up Qure.ai and Cuddle.ai as subsidiaries in 2016
Chennai-based data and AI consultancy that helps global enterprises build analytics, data engineering and generative AI solutions. It is listed on Indian stock exchanges and crossed the ₹1,000 crore annual revenue mark in FY2026, helped by demand for AI and data platform work.
- FY2026 consolidated revenue of ₹1,060 crore and profit after tax of ₹202 crore
- Incorporated in Chennai on 3 January 2006
Tata group design and technology services company serving automotive, media and communications, and healthcare clients. It has extended generative AI across engineering, design and delivery, and in FY2026 launched DevStudio.ai, a multi-agent studio for design and engineering work.
- FY2026 revenue of ₹3,757.4 crore
- Q4 FY2026 operating revenue of ₹993.8 crore, up 4.2% quarter on quarter
- Q4 FY2026 profit after tax of ₹220.4 crore, a 21.1% margin
Bengaluru digital engineering company that runs a dedicated Generative AI Business Services unit. The unit builds an enterprise AI platform and repeatable AI solutions, while the wider company handles product engineering, cloud, data and infrastructure work for its clients.
- FY2026 revenue of ₹2,315 crore, up 12.3% year on year
- Had 6,497 employees and 306 clients on 31 March 2026
- Saw about USD 50 million of GenAI revenue potential over 3 years (October 2025)
Mumbai conversational AI company, majority owned by Reliance Jio, that builds chat and voice assistants for customer support, lead generation and commerce. Its work includes WhatsApp bots for e-commerce, financial and telecom brands, and it runs Interakt, a messaging tool for small businesses.
- Reliance agreed in 2019 to take about 87% in a deal estimated at ₹700 crore
- Had processed more than 2 billion interactions by April 2019
- Its MyGov Corona Helpdesk was used by over 21 million people
Software partner to car makers and mobility companies, working on software-defined vehicles, digital cockpits and AI-enabled engineering tools. Its Beacon Mobility Intelligence platform is drawing interest from several vehicle makers, and it runs engineering centres in Europe, the US, Japan, China, Thailand and India.
- FY2026 revenue of USD 724.8 million, up 4.8% year on year
- About 13,000 employees worldwide
- Q4 FY2026 deal wins with total contract value of USD 349 million
Noida-headquartered, NSE-listed software services company with offices in the US and UAE. It builds AI agents, AI-led projects and enterprise software, and says that more than 80% of its active engagements now include an AI component.
- FY2026 revenue of ₹162.7 crore, up 18.4% year on year
- Reports 50+ enterprise AI agents in production and 100+ AI-led deliveries
- All of its 600+ staff are AI-certified, per its Q4 FY2026 release
AI and analytics services firm headquartered in Santa Clara with Indian offices in Bengaluru, Chennai and Hyderabad. It builds full-stack AI, data and machine learning solutions for Fortune 1000 companies in consumer goods, retail, insurance, banking, manufacturing, life sciences and healthcare.
- Has a team of 4,000+ technologists and consultants, per its company profile
- 3 of its 5 listed offices are in India
- Founded in 2011
AI-first digital engineering company headquartered in Marlborough, Massachusetts, with Indian offices in Mumbai, Bengaluru and Thiruvananthapuram. It combines cloud and data engineering with applied AI research to build models, data platforms and AI applications for enterprise clients.
- Employs 3,494 people, according to its Built In profile
- 3 of its 7 listed offices are in India
- Founded in 2013
XDQ Labs publishes this list and includes itself. Other companies are listed in no particular order based on public information.
Quick comparison of the 10 AI development companies
The table below summarises where each company is based, what it is best known for in AI, and one recent public figure. Revenue figures are for the financial year shown and come from company releases or filings. Use the table to build a shortlist, then check case studies that match your own industry and data.
| Company | HQ | Known for | Latest public figure |
|---|---|---|---|
| XDQ Labs | Gurugram | AI agents on XDQ AgentOS, SaaS, React Native, AI security | Runs 2 own products |
| Fractal Analytics | Mumbai | Enterprise AI products and analytics | ₹2,765 crore revenue (FY2025) |
| LatentView Analytics | Chennai | Data engineering and GenAI consulting | ₹1,060 crore revenue (FY2026) |
| Tata Elxsi | Bengaluru | AI in design and embedded engineering | ₹3,757.4 crore revenue (FY2026) |
| Happiest Minds | Bengaluru | Dedicated GenAI business unit | ₹2,315 crore revenue (FY2026) |
| Haptik | Mumbai | Chat and voice assistants | 2 billion+ interactions (2019) |
| KPIT Technologies | Pune | AI for software-defined vehicles | USD 724.8 million revenue (FY2026) |
| Ksolves India | Noida | AI agents for mid-sized firms | 50+ AI agents in production (FY2026) |
| Tiger Analytics | Santa Clara | AI and analytics for Fortune 1000 | 4,000+ team members |
| Quantiphi | Marlborough | AI-first cloud and data engineering | 3,494 employees |
How to choose an AI development partner in India
Start with the business problem and the data you hold, not the model. A partner should be able to explain how it will measure success, where the training or retrieval data comes from, and how the system will be monitored once it is live. Ask to see a production system, not only a demo.
Be careful with agent projects. Gartner expects over 40% of agentic AI projects to be dropped by the end of 2027 because of rising costs and unclear value, and it estimates only about 130 of the thousands of vendors claiming agentic products are genuine. A small, measured pilot with a clear owner on your side reduces that risk.
- Ask for production references in your industry
- Agree evaluation metrics before any build starts
- Confirm who owns the code, prompts and trained models
- Check data privacy and security practices in writing
- Plan for monitoring and retraining after launch
India's AI market in 2026
Nasscom estimates export revenue of USD 246 billion for India's tech industry in FY2026, with IT services at USD 149 billion. It also reports that over 2 million professionals have been upskilled in AI, and that 90% of surveyed CXOs plan to raise the AI share of their digital budgets.
Public investment is growing too. The IndiaAI Mission has an outlay of ₹10,372 crore over five years and targets computing capacity of over 10,000 GPUs for startups, researchers and industry. Consumer demand is visible as well: Sensor Tower data reported by TechCrunch shows Indians downloaded 602 million generative AI apps in 2025, up from 198 million in 2024.
Frequently asked questions
Which is the best AI development company in India?
There is no single best firm. Fractal Analytics and LatentView suit data-heavy enterprise work, Tata Elxsi and KPIT suit engineering and automotive AI, Haptik suits customer conversations, and Ksolves suits mid-sized AI agent projects. Pick the company with production work closest to your own problem and data.
How big is the AI services market in India?
Nasscom estimates that India's tech industry will earn USD 315 billion in FY2026, of which AI revenue is upwards of USD 10 to 12 billion. Nasscom also reports that 90% of surveyed CXOs plan to increase the AI share of their digital budgets.
What is the IndiaAI Mission?
The IndiaAI Mission is a central government programme approved with an outlay of ₹10,372 crore over five years. It funds large AI computing infrastructure with a target of over 10,000 GPUs, gives startups, academia and industry access to that capacity, and supports better data availability for AI development.
Why do AI agent projects fail?
Gartner expects more than 40% of agentic AI projects to be cancelled by the end of 2027, mainly because of rising costs and unclear business value. It also warns of agent washing, where chatbots are rebranded as agents. Clear success metrics, a narrow first use case and strong monitoring lower the risk.
Sources
- India's tech industry continues to redefine AI-led transformation, efficiency and skilling: Nasscom Annual Strategic Review 2026, Nasscom, 2026
- Cabinet approves India AI Mission at an outlay of Rs 10,372 crore, IndiaAI (MeitY), 2024
- Gartner Predicts 40% of Enterprise Apps Will Feature Task-Specific AI Agents by 2026, Gartner, 2025
- Over 40% of agentic AI projects will be scrapped by 2027, Gartner says, The Star (Reuters), 2025
- Fractal Analytics, Wikipedia, 2026
- Fractal Analytics company profile, Stock Analysis, 2026
- Latent View Analytics Q4 FY26 financials, Investywise, 2026
- Latent View Analytics Limited company information, Tofler, 2026
- Latent View FY26 profit of Rs 202 crore, Whalesbook, 2026
- Tata Elxsi operating revenue at Rs. 993.8 Cr, registers healthy growth of 4.2% QoQ, Tata Elxsi, 2026
- Happiest Minds reports FY26 revenues of Rs 2,315 crores, Happiest Minds Technologies, 2026
- Happiest Minds eyes $50 mn revenue from Gen AI over 3 years, Business Standard, 2025
- Haptik, Wikipedia, 2026
- Reliance Jio to acquire majority stake in Haptik (media release), Reliance Industries, 2019
- KPIT Technologies reports FY26 results, The Machine Maker, 2026
- Ksolves India press release Q4 FY26, NSE India, 2026
- Tiger Analytics company profile, Built In, 2026
- Quantiphi company profile, Built In, 2026
- India's app downloads rebounded to 25.5 billion in 2025, fuelled by AI assistants and microdrama boom, TechCrunch, 2026