India’s computer vision industry has witnessed remarkable growth in recent years, emerging as a significant player in the global artificial intelligence landscape. According to recent market analysis, the Indian computer vision market reached a valuation of USD 1.80 billion in 2024 and is projected to expand to USD 3.00 billion by 2033, reflecting a compound annual growth rate of approximately 4.90 percent during this period. This dynamic expansion is fueled by increasing automation adoption across diverse industries, substantial investments in AI and machine learning research, and a burgeoning demand for sophisticated quality control solutions and smart surveillance systems across sectors.
The Indian ecosystem currently hosts approximately 263 computer vision startups, of which 117 have secured funding and 25 have reached Series A or higher funding stages. These companies are making significant contributions across healthcare, retail, manufacturing, security, and infrastructure sectors, leveraging advanced deep learning algorithms and neural networks to solve complex visual recognition and analysis challenges.
1. Qure.ai: Revolutionizing Medical Diagnostics Through AI
Qure.ai stands at the forefront of India’s computer vision revolution, specializing in automated interpretation of radiology examinations and medical imaging. Founded in 2016 by Prashant Warier and Pooja Rao, this Mumbai-based company has established itself as a global leader in healthcare AI, having raised an impressive USD 123 million across eight funding rounds. The company achieved a significant milestone in September 2024 by securing USD 65 million in Series D funding led by 360 One, bringing its valuation to approximately INR 2,230 crore.
The company’s product portfolio addresses critical challenges in medical diagnostics, offering advanced tools for chest X-ray reporting, lung nodule management, stroke identification, and tuberculosis screening. Qure.ai’s platform provides comprehensive capabilities for screening programs and case management, enabling healthcare providers to coordinate care effectively and monitor program developments in real-time. With approximately 260 employees as of mid-2025 and annual revenue reaching INR 190 crore, Qure.ai has demonstrated both technological sophistication and commercial viability.
The startup’s investor base includes prestigious names such as Merck Global Health Innovation Fund, Lightspeed Venture Partners, HealthQuad, and Merck Sharp and Dohme. Qure.ai’s impact extends globally, with its solutions deployed in hospitals and healthcare facilities across multiple continents. The company’s ability to reduce diagnostic time, improve accuracy, and democratize access to quality healthcare through AI-powered automation positions it as the undisputed leader among Indian computer vision startups focused on medical applications.
2. CynLr: Pioneering Visual Object Intelligence for Industrial Robotics
CynLr has emerged as a groundbreaking force in industrial automation, developing advanced AI-based robotic vision solutions that enable industrial robotic arms to see, understand, and manipulate objects in random, unstructured environments. Founded in 2019 by Nikhil Ramaswamy and Gokul N A, this Bengaluru-based startup has raised USD 15.3 million across four funding rounds, with the most recent being a USD 10 million Series A round in November 2024 led by Pavestone Capital and Athera Venture Partners.
The company’s visual object intelligence platform leverages sophisticated eye-brain technology and deep neural network models reinforced with motion feedback to provide industrial robots with human-like visual perception and decision-making capabilities. This technology addresses one of the most challenging problems in robotics, enabling machines to handle variability and unpredictability in manufacturing and logistics environments. CynLr’s platform finds applications across diverse sectors including automotive manufacturing, consumer electronics assembly, food and beverage packaging, and pharmaceutical production.
CynLr has demonstrated impressive international ambitions, launching its first design and research center in Switzerland in September 2024, expanding its technological footprint beyond India’s borders. The company also established the Cybernetics HIVE, a state-of-the-art research hub focused on vision, intelligence, and robotics capabilities. With approximately 80 employees and backing from notable investors including Speciale Invest, Arali Ventures, and growX ventures, CynLr represents a significant advancement in making industrial robotics more adaptable and intelligent through computer vision technology.
3. HyperVerge: Leading Identity Verification and Fraud Detection
HyperVerge has carved out a dominant position in the identity verification and fraud detection space, providing AI-powered automation solutions for document analysis and identity authentication. Founded in 2014 by Kishore Natarajan, Kedar Kulkarni, Vignesh Krishnakumar, Praveen Kumar, and Saivenkatesh Ashokkumar, the company operates from both Palo Alto, California and Chennai, India, maintaining a truly global presence. While the company initially raised USD 1 million in seed funding from prominent investors including New Enterprise Associates, Naya Ventures, and Milliways Ventures, it has since grown to an estimated annual revenue of USD 53 million with over 320 employees.
The company’s comprehensive platform automates customer onboarding journeys, providing robust tools for no-code workflow building, advanced analytics, and seamless integrations with existing business systems. HyperVerge offers modular solutions including identity verification, video KYC for remote customer verification, optical character recognition software for document processing, face authentication using biometric analysis, and business verification capabilities. The platform delivers application programming interfaces for digital KYC, identity checks, fraud detection, address verification, automated payment processing, and video validation.
HyperVerge serves critical industries including banking, financial services, insurance, cryptocurrency exchanges, telecommunications, and e-commerce, where identity verification and fraud prevention are paramount concerns. The company’s technology helps organizations comply with regulatory requirements while reducing customer onboarding friction and preventing identity-related fraud. With over 200 employees and a proven track record of serving enterprise clients globally, HyperVerge demonstrates the commercial viability and scalability of specialized computer vision applications in the fintech and compliance sectors.
4. Mad Street Den: Transforming Retail Through Visual AI
Mad Street Den represents a pioneering force in applying computer vision and artificial intelligence to revolutionize retail experiences, both online and in physical stores. Founded in 2013, this Chennai-based company has raised USD 57.4 million across seven funding rounds, with its most recent Series C round of USD 30 million secured in October 2022 from Avatar Growth Capital, Alpha Wave Global, Peak XV Partners, and FedEx. The company has achieved impressive commercial success, reaching USD 28 million in annual revenue as of October 2024, up from USD 18.7 million in 2023, demonstrating strong year-over-year growth momentum.
The company’s flagship offering focuses on visual search and recommendation technologies that understand shoppers’ visual preferences including colors, patterns, shapes, and fit preferences. This technology enhances both in-store and online shopping experiences by enabling retailers to provide more personalized product recommendations and improving visual merchandising capabilities. Mad Street Den’s solutions help retailers optimize inventory management, improve conversion rates, and create more engaging customer experiences through intelligent visual understanding.
The company employs approximately 263 people across various functions and has established itself as a key player in the retail technology space. In 2024, Mad Street Den was acquired by M2P Fintech, marking a significant milestone that validates the company’s technology and market position. The acquisition represents strategic consolidation in India’s fintech and retail tech ecosystems. Mad Street Den’s success in building commercially viable computer vision solutions for the retail sector, combined with its strong revenue growth and eventual acquisition by a larger technology player, demonstrates the maturity and market validation of specialized retail AI applications.
5. Signzy Technologies: Digital Transformation of Verification Processes
Signzy Technologies has established itself as a comprehensive provider of AI-powered identity verification, compliance, and fraud prevention solutions, serving financial institutions and enterprises globally. Founded in 2015 and headquartered in Mumbai, the company has raised USD 38.5 million across multiple funding rounds from notable investors including Gaja Capital, Arkam Ventures, MasterCard, Fintech Nation, and Tenity. With approximately 392 employees, Signzy represents one of the larger and more established players in India’s computer vision and AI verification space.
The company offers an extensive platform that automates complex verification workflows, incorporating computer vision, natural language processing, and machine learning technologies. Signzy’s product suite includes solutions for digital KYC processes, deduplication and fraud checks, comprehensive data verification, credit scoring capabilities, and contract verification systems. The platform serves financial institutions, insurance companies, telecommunications providers, and other enterprises requiring robust identity verification and compliance solutions.
Signzy’s technology stack enables businesses to reduce customer onboarding time from days to minutes while maintaining high security and compliance standards. The company has demonstrated its growth ambitions through strategic acquisitions, including the purchase of Difenz in February 2024, expanding its capabilities in cybersecurity and digital fraud prevention. Signzy’s strong funding, substantial employee base, and strategic growth initiatives position it as a significant player in applying computer vision and AI to solve critical business challenges in identity management and regulatory compliance across industries.
6. Ripik.AI: Industrial Vision AI for Manufacturing Excellence
Ripik.AI has emerged as a specialized provider of vision AI platforms and agents designed specifically for industrial anomaly detection and process optimization. Founded in 2021 by Pinak Dattaray and based in Noida, the company has raised USD 14.2 million across five funding rounds, with its most recent seed round of USD 7.03 million secured in September 2024 led by Accel. The company has achieved a valuation of approximately INR 308 crore and employs around 84 people, demonstrating rapid growth in the industrial AI sector.
The startup develops computer vision agents that function as automated monitoring systems, providing continuous surveillance of industrial operations across sectors including steel, cement, chemicals, pharmaceuticals, aluminum, and power generation. These AI-driven agents deliver monitoring capabilities with accuracy exceeding 95 percent, enabling real-time decision-making while eliminating human error and operational inefficiencies. Ripik.AI’s solutions encompass material monitoring for raw material quality assessment, process monitoring to ensure optimal operating conditions, and equipment monitoring to predict maintenance needs and prevent unexpected failures.
The company’s Ripik Computer Vision Platform serves as a comprehensive system that hosts and manages hundreds of vision AI agents, enabling industrial clients to customize, deploy, and scale real-time monitoring solutions instantly across their operations. This platform approach provides significant advantages in terms of flexibility, scalability, and ease of implementation across diverse industrial environments. Ripik.AI’s focus on driving higher throughput, improved energy efficiency, and enhanced product quality across industrial operations addresses critical pain points in manufacturing sectors. The company’s backing from prominent investors like Accel, Venture Highway, and Angel List, combined with its rapid growth trajectory, positions it as a leading innovator in applying computer vision to solve complex industrial challenges.
7. NAYAN: Advanced Video Analytics for Smart Infrastructure
NAYAN has positioned itself as a provider of AI-powered video analytics solutions targeting traffic management, infrastructure monitoring, and driver safety applications. The company offers comprehensive solutions for monitoring traffic violations, detecting infrastructure defects, and identifying unsafe driver behavior, utilizing computer vision to detect events and provide real-time alerts and actionable insights. NAYAN’s technology aims to enhance road safety, improve fleet performance, and support smart city initiatives through automated visual intelligence.
The startup’s platform analyzes video feeds from traffic cameras, dash cameras, and surveillance systems to identify various incidents and patterns including speeding violations, red light violations, wrong-way driving, infrastructure damage such as potholes and damaged road markings, and unsafe driver behaviors like distracted driving or failure to wear seatbelts. By automating these monitoring functions, NAYAN enables transportation authorities and fleet operators to respond more quickly to incidents and implement preventive measures.
NAYAN represents one of several Indian startups applying computer vision to urban infrastructure and transportation challenges. The company operates in the Delhi NCR region and serves government agencies, municipal corporations, and private fleet operators seeking to improve road safety and operational efficiency. While specific funding details are limited in available public information, NAYAN’s presence in competitive startup databases and its focus on smart city applications indicate its relevance in India’s computer vision ecosystem, particularly as Indian cities increasingly invest in intelligent transportation systems and surveillance infrastructure.
8. ParallelDots: Retail Execution Intelligence Through Image Recognition
ParallelDots has established itself as a specialized provider of AI-powered image recognition solutions designed specifically for retail execution and shelf monitoring applications. Founded in 2014 by Ankit Narayan Singh, Muktabh Mayank, and Angam Parashar, the company operates from Seattle with significant development operations in Gurugram, India. ParallelDots has raised USD 6.5 million across four funding rounds, with its Series A round of USD 4.5 million secured in May 2022 led by Btomorrow Ventures and Multipoint Capital. The company has achieved remarkable commercial success, reaching USD 51.6 million in annual revenue as of October 2024, representing substantial growth from USD 31 million in 2023.
The company’s flagship ShelfWatch solution provides real-time monitoring of in-store retail execution, enabling consumer packaged goods manufacturers and retailers to track product availability and on-shelf availability metrics, measure share of shelf relative to competitors, ensure planogram compliance with merchandising plans, monitor promotion and pricing compliance, and gather competitive intelligence from retail environments. The platform uses advanced computer vision algorithms to analyze images captured by field representatives or store cameras, automatically extracting actionable insights about retail execution quality.
ParallelDots employs approximately 295 people and serves major CPG brands and retailers globally, including markets in India, North America, Europe, and other regions. The company has demonstrated its technical sophistication through publication of research papers, filing of patents in computer vision technology, and strategic partnerships with technology leaders including Google Cloud, Intel, and SAP. ParallelDots’ strong revenue performance, despite relatively modest funding compared to some peers, demonstrates the commercial viability and profitability potential of focused, sector-specific computer vision applications. The company’s recognition as winner of NASSCOM Emerge50 2020 in retail technology and ISO 27001 certification further validates its technical capabilities and market position.
9. Assert AI: Computer Vision for Manufacturing and Industrial Sectors
Assert AI has emerged as a developer of AI and SaaS-based video analytics solutions targeting manufacturing, warehousing, logistics, retail, and industrial applications. Founded in 2020 and based in Mumbai, the company has raised USD 7.12 million across three funding rounds, with its most recent Series A round of USD 4 million secured in April 2024 led by investors including Ramesh Hariharan, Prashant Purker, and Arya.ag. The company achieved a valuation of INR 128 crore as of August 2024 and employs approximately 54 people, focusing on delivering specialized computer vision solutions for industrial clients.
Assert AI’s technology platform analyzes video feeds from existing camera infrastructure to extract operational insights and automate quality control processes across manufacturing and logistics environments. The company serves diverse industries including warehousing operations where it monitors inventory movement and storage efficiency, logistics facilities for shipment tracking and damage detection, retail environments for customer behavior analysis and theft prevention, manufacturing plants for quality inspection and safety compliance, solar energy facilities for panel inspection and maintenance, and consumer health goods production for packaging verification and defect detection.
The company has demonstrated notable achievements including being named Most Disruptive AI Startup at TechSparks 2023, winning Best AI Solution in Warehousing and Logistics at the Krypton Awards 2023, and receiving recognition as Fastest Growing Startup at SSEA 2024. Assert AI has also unveiled Pratham, marketed as a no-code computer vision platform that enables industrial clients to deploy custom vision AI applications without extensive programming expertise.
The company operates in India, the United States, and the Middle East, serving clients across multiple geographies. Assert AI’s focus on making computer vision accessible to industrial clients through user-friendly platforms, combined with its growing revenue base of INR 5.58 crore as of March 2024, positions it as an emerging player addressing practical industrial automation challenges.
10. Staqu: AI-Powered Surveillance and Retail Analytics
Staqu has developed computer vision solutions spanning surveillance, video analytics, and retail intelligence applications. The company operates in the Delhi NCR region and has created platforms that transform surveillance footage into actionable insights through sophisticated AI analysis. Staqu’s product portfolio includes Bovi AI Analytics, a comprehensive platform built on proprietary computer vision technology that offers solutions for access control systems, intrusion detection and perimeter security, child monitoring in educational or care facilities, and various other security and surveillance applications.
In February 2025, Staqu unveiled Jarvis GPT, described as a fusion of vision AI and large language models designed specifically for smart retail analytics. This product represents an evolution in retail technology, combining visual recognition with natural language processing to provide more intuitive and comprehensive retail insights. The system analyzes in-store video feeds to understand customer behavior patterns, optimize store layouts, monitor inventory levels, and provide actionable recommendations to retail operators.
Staqu has achieved notable recognition through partnerships with government agencies, including collaboration with Gurugram Police for controlling fake number plate systems and other public safety initiatives. The company’s dual focus on security surveillance and retail analytics demonstrates the versatility of computer vision technology across different application domains. While specific funding details are limited in publicly available information, Staqu’s presence among funded Delhi NCR computer vision startups and its partnerships with government entities and retail clients indicate its operational maturity and market relevance in India’s growing computer vision ecosystem.
Conclusion: India’s Computer Vision Future
India’s computer vision startup ecosystem demonstrates remarkable diversity, spanning healthcare diagnostics, industrial automation, financial services, retail optimization, and smart city infrastructure. The top ten startups profiled here represent the breadth and depth of innovation occurring across the country, backed by both domestic and international investors who recognize India’s potential as a hub for AI and computer vision development.
Several trends emerge from analyzing these leading companies. First, there is strong specialization with most successful startups focusing deeply on specific industry verticals rather than attempting broad horizontal solutions. Second, the ecosystem has matured significantly, with multiple companies achieving substantial revenues and several reaching late-stage funding rounds including Series C and Series D. Third, Indian computer vision startups are increasingly global in ambition, serving international markets and establishing operations beyond India’s borders.
The technical talent emerging from premier Indian institutions like IIT Bombay, IIT Delhi, IIT Madras, and BITS Pilani continues to drive innovation in this space. The supportive policy environment, including initiatives like the IndiaAI Mission, combined with increasing enterprise adoption of AI technologies and growing venture capital availability, creates favorable conditions for continued growth. As India’s computer vision market progresses toward the projected USD 3 billion valuation by 2033, these pioneering startups are well-positioned to lead the next wave of AI-driven transformation across industries, both domestically and globally.
