As of November 2026, Latka tracks 537 image recognition software companies. They have combined revenues of $6.7B and employ 39.9K people. They have raised $11.5B and serve 1B customers combined.
Every company below sells image recognition software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
Image Recognition Software refers to applications that utilize machine learning and artificial intelligence to identify and classify objects, people, and scenes within images or videos. This technology is extensively applied across various industries including healthcare, retail, automotive, and security, enabling organizations to automate processes, enhance user experience, and extract valuable insights from visual data. Primary use cases include facial recognition for security purposes, object detection for autonomous vehicles, and visual search capabilities in e-commerce. Key features of these solutions often encompass image classification, real-time processing, and integration with other data analytics tools. Common users of image recognition software span across business functions such as IT, marketing, and operations, where visual data processing offers significant operational efficiencies. Additionally, many image recognition solutions provide capabilities for customizing algorithms to fit specific industrial needs, ensuring that the software is adaptable to unique integrations and workflows. As technology evolves, advancements in image recognition continue to drive innovation in fields like agriculture for crop monitoring, and in logistics for inventory management.
Sorting: Highest -> Lowest
Showing 10 of 537 companies ranked by annual revenue.
San Francisco, California, United States
Scale AI Inc. is a machine learning data annotation platform that provides high-quality training data to help develop and improve artificial intelligence (AI) models.
Los Angeles, California, United States
Metropolis is a proprietary AI- and computer vision-based operating system designed to revolutionize parking management and support the advancement of mobility capabilities.
San Francisco, California, United States
Sama is the global leader in ethical data annotation and model evaluation solutions for computer vision, generative AI and other major applications of artificial intelligence. Our solutions minimize the risk of model failure and lower the total cost of ownership through an enterprise ready ML-powered platform, actionable data insights uncovered by proprietary algorithms, and a highly skilled on-staff team of over 5,000 data experts. 25% of Fortune 50 companies, including GM, Ford, Microsoft and Google, trust Sama to help deliver industry-leading ML models. Ethical AI is responsible AI, and as a Certified B-Corp, we’ve pioneered an impact model that harnesses the power of markets for social good, and has been proven to meaningfully improve employment and income outcomes for those with the greatest barriers to formal work. So far, helping more than 65,000 people lift themselves out of poverty.
Atlanta, United States
We develop outdoor camera hardware and design machine learning software for wireless security systems that can automatically capture and record the license plates of passing vehicles. Flock offers wireless security cameras to provide law enforcement with valuable evidence in the event of a crime. Shortly after our launch, Flock assisted in solving our initial crime case, confirming the importance of our technology. We consider our ability to assist customers in critical situations as the primary indicator of our success. Currently, over 15,000 residences across 20 states are protected by Flock, and our dedicated team is committed to safeguarding these homes every day.
San Diego, California, United States
Creating solutions for real-world problems using computer vision and deep learning technologies that make a significant impact on the industry.
Beijing, China
Megvii is a Chinese technology company that designs image recognition and deep-learning software. It is widely known for its Face++ system and provides AI and IoT solutions.
San Francisco, California, United States
Incode Technologies is a leading global AI and facial recognition company, ranked among the top 12 in unsupervised facial recognition by the US Government's NIST. The company has developed proprietary face recognition technologies that are capable of functioning effectively with low-quality photos, basic devices, and in environments with restricted or no Internet connectivity. Incode offers three distinct product lines: 1. Incode Smile: This B2B ID Experience Platform focuses on revolutionizing banking, payment, and retail experiences by enhancing security, customer relationships, and customer acquisition through innovative user experiences, cutting-edge AI, and advanced face recognition features like "Smile to Pay," "Smile to Auth," and "Smile to Send." 2. Incode Guard: Incode's security offering brings the power of face recognition to mobile devices, specifically cameras, enabling real-time facial recognition using smart glasses, body cameras, and dash cams. This technology allows police and military forces to identify individuals swiftly while on patrol or during mobile operations. 3. Flashback: Incode's consumer product disrupts the personal sharing industry by automatically sharing photos among friends using actionable face recognition technology. This innovative approach enables Incode to leverage its proprietary data for creating unique AI technologies. Established in 2015 in San Francisco, Incode Technologies also maintains offices in Latin America and Europe. The diverse team at Incode comprises engineers, marketers, designers, analysts, creatives, photographers, travelers, musicians, and athletes dedicated to deepening relationships through technology. Incode is seeking individuals who are ambitious, adaptable, and eager to face challenges while learning quickly. Join a dynamic team and contribute to making a significant impact on the world. Headquartered in San Francisco, Incode also has offices in Mexico City and Belgrade.
Gent, Flanders, Belgium
Robovision is the adaptive engine for image-to-action AI solutions, specializing in machine vision and automation, focusing on industries such as agriculture and equipment manufacturing.
Haymarket, New South Wales, Australia
Harrison.ai is a global healthcare technology company on a mission to urgently scale healthcare capacity through AI-powered medical imaging diagnostic support. The company is clinician-led and leverages deep learning to improve healthcare outcomes.
Gilching, Germany
Quantum Systems is the powerhouse of intelligent unmanned systems. As a leading dual‑use and defence technology company, we deliver multi‑domain solutions - on land, in the air, at sea, and in software - for government agencies and commercial customers worldwide. Quantum Systems is Europe's highest valued dual-use scale up and a global leader in the development of intelligent unmanned systems. We supply mission-grade ISR, autonomy, and integrated mission solutions to military, government, and commercial customers. Quantum Systems products combine proven hardware, AI, and interoperable software to deliver persistent, reliable intelligence where it matters most.
Latka tracks 537 image recognition software companies with reported revenue. Together they generate $6.7B in annual revenue and employ 39.9K people.
Scale AI is the largest, with $870M in annual revenue, founded in 2016.
The average image recognition software company in this list makes $12.5M a year, across 537 companies with reported revenue. They serve 1B customers combined.
Ranked by annual revenue, the leaders are Scale AI, Metropolis, sama.com, Flock Safety and Netradyne.
The 537 image recognition software companies tracked here have raised $11.5B in disclosed funding between them.
- The software must enable identification and classification of objects, people, or places within images. - It should utilize machine learning algorithms to enhance accuracy over time. - Must provide real-time processing capabilities to support immediate user needs. - The software should support integration with other systems, such as data analytics platforms. - Not just for simple image storage; must also include features for analysis and insights generation. - Must cater to specific industry applications such as healthcare, automotive, or retail.