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The top AI companies in India for 2026, from AI video surveillance and Indian language models to conversational AI, identity checks and decision analytics.
India is moving from a destination for technology outsourcing to a source of original AI products. Homegrown companies are no longer only adapting global models. They are building their own technology for Indian and international markets.
Three forces drive this shift: government initiatives, a deep pool of engineering talent and growing enterprise demand for AI.
Generative AI shows the momentum most clearly. According to NASSCOM, India's generative AI startup count grew about 3.6 times, from over 66 in the first half of 2023 to more than 240 by the first half of 2024. This guide looks at ten companies shaping Indian AI and what each is known for.
We assessed companies across the Indian AI landscape against one consistent set of criteria. A note on transparency: Aptibit wrote this list and appears on it, so every entry, including ours, sticks to facts that are publicly known.
We looked at five things. Original technology: companies building their own AI products and models, rather than reselling others. Engineering depth: skill in training, optimising and running AI in the real world. Market traction: real customers and expanding use cases. Industry impact: measurable contribution to the sectors they serve. And breadth of AI: use of machine learning, language AI, computer vision and generative AI to solve concrete problems.
Founded in Kolkata in 2024, Aptibit Technologies builds AI products and delivers custom software and AI engineering for enterprises. Its flagship product is Visylix, an automated AI video surveillance platform.
Visylix watches, decides and acts. It watches with 22 AI analytics built in-house, covering people, vehicles, safety and sound. It decides with Sudarshan, a rules engine that combines conditions, sequences and access control events. It acts through alerts, integrations and Radha, an AI copilot that runs on an on-premise language model with 111 tools. Radha's 13 high-impact actions always ask for confirmation, and every call is audit-logged.
Visylix runs on a native streaming engine built in-house, with sub-second live view over WebRTC, down to under 200 ms. It runs entirely on the customer's own hardware, on premise, at the edge or fully air-gapped, and its interface is available in 55 languages, including 13 Indian languages. On the services side, Aptibit has built the website, online exam platform and schools-and-university management system for Yatharth Educational Services in Jaipur, along with web work for Garvit Enterprises and Vunity Solutions.
Founded in Bengaluru in 2023, Sarvam AI builds foundational AI models for Indian languages. In a global market where Indian languages are often an afterthought, Sarvam has made multilingual AI its central mission.
Its large language models are trained with a strong focus on Indic language data, aiming for native understanding rather than translation layered on English models. This matters for the many Indians who do not use English as their first language. Sarvam has attracted significant investment and works with government bodies and enterprises that need AI with genuine local language skill.
Founded in Bengaluru in 2016, Yellow.ai is one of India's best-known conversational AI companies. Its platform automates customer conversations across voice, chat and email for large enterprises around the world.
Its AI agents go well beyond simple chatbots. They handle multi-step conversations and connect to business systems such as CRM and ERP. Yellow.ai works with organisations in banking, healthcare, retail and telecommunications.
Founded in Chennai in 2008 and now with major US operations, Uniphore is one of the longest-standing names in Indian AI. It specialises in conversational AI that analyses voice, video and text interactions in real time.
Its multimodal AI looks beyond the words spoken to tone and sentiment. Financial institutions, insurers and healthcare organisations use its platform to understand customer conversations, support their agents and improve service.
Founded in 2014 and based in Bengaluru, HyperVerge is a leading AI company for identity verification and digital onboarding, in India and increasingly in international markets.
Its computer vision models power Know Your Customer (KYC) checks for banks, fintech companies and telecom providers. Its strengths include document verification, face matching and liveness detection, with models designed for the variety of Indian identity documents.
Founded in Mumbai in 2013 and now part of the Jio ecosystem, Haptik is one of India's largest conversational AI platforms. It builds virtual assistants for major Indian enterprises and public bodies.
During the pandemic, Haptik powered the MyGov Corona Helpdesk, which helped citizens get reliable information at national scale. Its platform combines language understanding with generative AI to handle complex customer queries across industries.
Founded in Mumbai in 2000, Fractal Analytics has more than two decades of experience in AI-powered decision intelligence for large global companies. It works across consumer goods, financial services, healthcare and technology.
Fractal has also built its own products, such as Eugenie for AI-driven process optimisation and Flyfish for generative AI in customer experience. Its large team of AI professionals reflects the depth of AI talent India has built.
Noida-based Assert AI specialises in computer vision for physical security, smart cities and industrial sites. Its models analyse video in real time to detect safety violations, monitor traffic and flag unusual activity.
Assert AI places strong emphasis on edge deployment, running its models on devices close to existing cameras. That approach makes video analytics accessible to organisations that do not want heavy cloud spending or new hardware.
Founded in Gurugram in 2015, Staqu Technologies builds AI for law enforcement and public safety. Its flagship platform, JARVIS, combines video analytics, face recognition and language AI to help police and security agencies manage large volumes of footage and data.
Staqu works with police departments in India on investigations, crowd monitoring and public safety. It has also expanded into industrial AI, applying video intelligence to workplace safety and quality control.
Bengaluru-based Pixis builds AI for marketing. Its platform helps brands optimise digital campaigns without writing code.
Its models analyse performance data across channels and refine targeting, creative choices and budget allocation automatically. This brings AI within reach of marketing teams without in-house data scientists. Pixis has raised substantial funding and expanded beyond India into the US and Southeast Asia.
The companies on this list share three traits. First, they build their own technology. They do not simply wrap someone else's model; they train models, build infrastructure and create products that off-the-shelf AI cannot match.
Second, they solve for India. That means support for many languages, AI that runs well on limited infrastructure, respect for Indian data regulations and pricing that works in the Indian market.
Third, they are built to compete globally. Each has the technical depth and product focus to win outside India as well as at home.
A list like this is a starting point, not a decision. The right partner depends on the problem you need solved, the data you hold and where your systems must run.
Start with the problem. Language AI, conversational AI, identity checks, decision analytics and video surveillance are different disciplines. A company that leads in one may have little depth in another, so match the specialist to the need.
Then look at how the AI will run. If your data cannot leave your premises, as is common in government, banking, healthcare and security, choose a partner whose products install on your own infrastructure and can work fully offline.
Finally, judge the people. Ask to meet the engineers, see the product running on realistic data, and talk through how the system behaves when things go wrong. The best Indian AI companies welcome that scrutiny, because their work holds up to it.
Indian AI is at a turning point. Government programmes such as the IndiaAI Mission provide a strong framework, a growing pool of skilled engineers provides the talent, and enterprise adoption provides the demand. Increasingly, Indian companies are choosing to build products rather than only sell services.
The list will keep changing. Generative AI, autonomous systems, AI for drug discovery and climate intelligence are all producing new companies. What is clear is that India's contribution to global AI will keep growing. For enterprises choosing an AI partner, Indian companies offer deep technical skill, India cost levels and a real understanding of both local and global needs.
Indian AI is energetic and expanding fast. The ten companies here, Aptibit Technologies, Sarvam AI, Yellow.ai, Uniphore, HyperVerge, Haptik, Fractal Analytics, Assert AI, Staqu Technologies and Pixis, show the range of what India now builds.
Between them, they cover AI video surveillance, Indian language models, conversational AI, identity verification, decision analytics and marketing AI. The rise of generative AI and the focus on Indian languages signal a more inclusive era of AI development.
As India keeps investing in infrastructure and talent, its role in shaping the future of AI will only grow. At Aptibit, we intend to be at the front of that change.
Not headcount. What matters is whether a company ships AI that works on real-world data, not just in demos. Look for three signals: its own products or intellectual property, AI running in production rather than only in trials, and engineers who can explain how their systems fail as clearly as how well they perform.
It depends on the work. Large IT services firms bring scale, breadth and long delivery records. For AI-specific products, a specialist often brings more depth, because AI is its core business rather than one practice among many. Either way, ask who will actually build your system.
Bengaluru, Hyderabad, Pune and the National Capital Region lead in numbers. Kolkata is a rising centre, particularly for computer vision, and is home to Aptibit Technologies. In the end, the team matters more than the postcode.
Meaningfully. Indian AI companies offer senior engineering at India cost levels, well below US and Western European rates. That margin pays for broader testing, more experiments and faster iteration, which is often where AI projects succeed or fail.
Three things. Meet the engineers who will work on your project, not only the account team. Ask to see how they run AI in production, not slides about it. And ask about a recent failure and how they handled it. A partner who answers that last question clearly has learned from experience.
The strongest ones do, and it is now a standard requirement in defence, healthcare, banking and government. Look for software that installs on your own servers, AI that runs close to the cameras or sensors, and a team that has designed for fully offline, air-gapped environments.