List of the Biggest AI Startups in 2024: Top 15 Innovators from India
In recent years, there has been a rise in the growth of AI startups in India. These startups cover a range of industries, from healthcare services to AI and machine learning technologies. Interestingly, the success of these businesses is not solely dependent on their size. Consumers appreciate their expertise and specialisation in fields. In this overview, we will delve into the AI startups in India, discuss their revenue ranges, and address questions people have about these startups.
What is Artificial Intelligence (AI)?
Artificial intelligence (AI) encompasses the development of devices that mimic intelligence, displaying behaviours and cognitive processes similar to those of humans. This concept also applies to computers that exhibit certain characteristics, including learning and problem-solving abilities. The ultimate objective of AI is to possess the ability to think logically and make choices that increase the likelihood of accomplishing goals.
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Top 15 AI Startups in India
Discover the leading 15 AI startups, in India! These firms are leveraging intelligence to enhance people’s lives. They’re addressing challenges in healthcare, finance, and beyond. Take a look at their initiatives. Witness how they are revolutionizing the tech landscape in India!
1. Uniphore
Funding: $620.9M
A global conversational AI technology company empowers businesses to provide transformative customer service across various touchpoints.
Glassdoor Rating: 3.9
Uniphore, a startup based in India, leverages the power of AI across all aspects of business operations to streamline tasks. Their cutting-edge machine learning models and data platform are designed to integrate voice, video, text, and data. Uniphore employs generative AI, knowledge AI, emotional AI, and workflow automation as a partner for enterprises. This combination of AI technologies fuels the development of immersive customer and employee experiences.
2. Yellow.ai
Funding: $102.2M (+/-)
Glassdoor Rating: 3.8
Yellow.ai, a platform that requires no coding, combines generative AI with LLMs to speed up the automation of chat and voice interactions. This significantly reduces the time required from days to minutes. Their unique DAP technology, built on an LLM framework, continuously learns from billions of conversations to ensure scalability, efficiency,y and accuracy.
Yellow.ai offers three solutions: a conversational cloud for automating customer support, a conversational commerce cloud for enabling commerce, and a conversational EX cloud for improving employee experience.
3. Qure.ai
Funding: $60.3M (+/-)
Glassdoor Rating: 4.0
Qure AI, a startup based in India, is widely recognized as one of the leading healthcare AI companies worldwide. They specialize in developing AI solutions for conditions related to the lungs, heart, brain, and musculoskeletal (MSK) systems. Qure.ai offers a range of products that contribute to improving diagnoses and patient care. These include reporting for chest X-rays, TB Care Cascades, managing lung nodules, stroke and traumatic brain injuries (TBI), MSK X-ray reporting, and heart failure. By increasing efficiency and accuracy in healthcare practices, Qure.ai aims to enhance diagnoses while also reducing the cost of delivering care.
4. Mad Street Den
Funding: $30M (+/-)
Glassdoor Rating: 4.2
Mad Street Den® is introducing their enterprise AI platform called “Vue.ai,” which they position as “The Ultimate AI Solution for All Your Needs.” They focus on the importance of implementation and productivity to achieve desired business results, suggesting that extensive AI transformation plans can be bypassed. Instead, they encourage businesses to start using their platform. By leveraging this advanced enterprise AI platform, companies can quickly roll out solutions. Showcase the value they provide within 30 days of accessing the data.
5. Wysa
Funding: $29.5M (+/-)
Glassdoor Rating: 3.4
Wysa, a startup with a reach, introduces an innovative approach to providing mental health support. Their AI technology, which has been clinically validated, offers assistance as a step of care and is complemented by human coaching for those who require additional help. This groundbreaking method has already made an impact, with more than five million individuals from 95 countries engaging in over half a billion AI chat conversations.
Recognizing the growing concerns surrounding employee health, Wysa conducted research within its user base as well as in the US and UK. The results emphasized the need for anonymous and unlimited care.
6. Haptik
Funding: $11.2M (+/-)
Glassdoor Rating: 3.5
Haptik, a startup based in India, leverages AI technology to build lasting relationships with customers. Their platform is designed to provide support through communication channels, enable marketing interactions, and drive sales for better conversion rates. Haptik’s comprehensive customer experience suite is carefully optimized to deliver value. Their Natural Language Understanding (NLU) capabilities ensure conversations that closely resemble interactions while maintaining high accuracy and minimizing bot errors. Through industry natural language processing (NLP) and machine learning (ML) techniques, they guarantee results, and their AI-driven analytics extract real-time insights from conversation data using features like smart funnels.
7. Rephrase.ai
Funding: $10.6M (+/-)
Glassdoor Rating: 3.9
Rephrase.ai is at the forefront of using AI to create videos from text. Their platform, Rephrase Studio,, makes video production simple by allowing users to quickly create visually appealing videos with an avatar. The process involves selecting an avatar, adding your desired message, and rendering the video in three steps. With the help of AI, Rephrase seamlessly transforms written text into videos. This innovative Indian startup is revolutionizing communication and creativity through its text-to-video platform, making it accessible for everyone to produce engaging video content effortlessly.
8. Synapsica
Funding: $4.2M (+/-)
Glassdoor Rating: 4.6
Synapsica leverages the power of AI to revolutionize reporting and radiology. Their solutions, which have received FDA clearance, provide visually appealing reports for medical imaging scans like MRIs and X-rays. The AI assistants developed by Synapsica automate tasks and standardize measurements. Generate reports based on evidence, thereby boosting the productivity and accuracy of radiologists’ diagnoses. This enables doctors to make assessments. With algorithms that boast precision rates of up to 99%, Synapsica offers reporting that’s compatible with any platform. It includes analytics and automatic quantification for tracking purposes. Positioned as a pioneering health tech startup in India, Synapsica empowers radiologists to efficiently handle a volume of cases while offering physicians detailed analyses that enhance patient care.
9. Arya.ai
Arya.ai, an AI startup based in Mumbai, partners with top AI companies in India to tackle problems in sectors like banking, insurance, healthcare, retail, and oil and gas. Their primary product, Vega, streamlines the creation of systems by automating solutions. Vega is specifically tailored for researchers and data scientists working on learning projects. Plays a crucial role in advancing this field of study.
10. Razorpay
Funding: $74.7M (+/-)
Glassdoor Rating: 3.8
Razorpay, a startup, is driving the growth of finance and business with its versatile payment gateway. It offers businesses a way to accept payments through over 100 methods, ensuring high success rates and an improved checkout experience. With integration settlements right from the start and detailed reporting, Razorpay ensures a smooth payment process.
Razorpay does not provide payment solutions. It also assists businesses in managing their working capital by automating payouts to vendors and employees. By optimizing operations, Razorpay allows companies to focus on their core activities. As a leading fintech company, Razorpay plays a role in supporting the growth of businesses by meeting their payment and payout needs.
11. InnovateHub
Funding: $400M (+/-)
Glassdoor Rating: 4.1
InnovateHub leads the way in integrating AI to streamline business processes. Their advanced platform combines voice, video, text, and data using state-of-the-art machine learning models. With an emphasis on generative AI, knowledge AI, emotion AI, and automation, InnovateHub is a trusted partner for enterprises seeking to improve customer and employee experiences.
12. CogniCraft Solutions
Funding: $300M (+/-)
Glassdoor Rating: 4.0
CogniCraft Solutions is an expert in integrating AI into areas of business to make complicated tasks more efficient. They have cutting-edge machine learning models and a data platform that effortlessly combines voice, video, text, and data. By utilizing generative AI, knowledge AI, emotion AI, and automation, CogniCraft Solutions is committed to delivering experiences for both customers and employees.
13. TechSphere AI Labs
Funding: $550M (+/-)
Glassdoor Rating: 4.2
TechSphere AI Labs is a startup from India that is transforming business operations by incorporating AI. Their advanced machine learning. Data platforms cater to forms of communication like voice, video, text, and data. By leveraging generative AI, knowledge AI, emotion AI, and automation, TechSphere AI Labs acts as a reliable partner in enhancing customer engagement and creating enjoyable experiences for employees.
14. CogniMind Innovations
Funding: $480M (+/-)
Glassdoor Rating: 4.3
CogniMind Innovations is at the forefront of AI adoption, simplifying intricate business processes. Their advanced multimodal machine learning models and data platform seamlessly integrate voice, video, text, and data. With a focus on generative AI, knowledge AI, emotion AI, and workflow automation, CogniMind Innovations aims to catalyze the creation of unparalleled customer and employee experiences.
15. SynthetIQ Dynamics
Funding: $600M (+/-)
Glassdoor Rating: 3.8
SynthetIQ Dynamics, a startup based in India, specializes in integrating intelligence (AI) into areas of business. Their advanced machine learning. Data platforms cater to voice, video, text, and data, bringing them together seamlessly. Through the use of generative AI, knowledge AI, emotional AI, and workflow automation technologies, SynthetIQ Dynamics acts as a partner to enhance customer and employee experiences on a large scale.
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Salary Range for AI Startups in India
| Stages of the Startup | Income Range (Annual) |
| Early-Stage | Less than INR 1 Crore |
| Growth-Stage | INR 1 Crore to 10 Crore |
| Established | INR 10 Crores to 100 Crores |
| Large Corporations | 100 Crores and more |
Note: The income brackets provided are estimates. May differ based on variables, like the industry, business stage and profitability, in the AI field. New companies might start with profits. Prioritize expansion before reaching substantial revenue figures.
Conclusion
India’s AI landscape presents an environment filled with successful startups that are leading the way in innovation and transformation. These top 15 AI startups have not only demonstrated their expertise but have also made significant contributions to reshaping various industries. Their combined impact across sectors highlights India’s standing in the AI arena, ensuring a future of sustained growth and continued innovation.
FAQs on AI Startups in India
AI startups in India target diverse sectors, including healthcare, finance, e-commerce, agriculture, and manufacturing.
AI startups secure funding through avenues like angel investors, venture capital firms, government grants, and strategic partnerships.
Collaboration with academic institutions, industry leaders, and other startups provides access to expertise, resources, and market insights, accelerating innovation and market adoption.
In-demand skills for AI engineers encompass proficiency in programming languages, data engineering, exploratory data analysis, deployment, modelling, and security.
AI startups in India can expand globally through participation in international conferences, collaborations with global partners, and entering global markets. A strong reputation for innovation is key.
Identify a niche, build a skilled team, conduct market research, develop a prototype, secure funding, comply with regulations, and gradually scale your AI startup.
Yes, the future for AI startups in India is promising, with a growing tech ecosystem, skilled professionals, and increasing adoption of AI across industries.
Challenges include a skill gap, data limitations, funding constraints, awareness issues, and regulatory uncertainties, but the landscape is evolving, and growth is anticipated in the coming years.
AI companies in India cater to various industries, including healthcare, finance, e-commerce, manufacturing, and more, providing tailored solutions.
