As of August 2026, Latka tracks 221 image recognition software companies under $1M in annual revenue. They have combined revenues of $96.3M and employ 1.2K people. They have raised $313.5M and serve 1.5M 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 221 companies ranked by annual revenue.
Hamburg, Hamburg, Germany
smart data insights through automated content recognition automated fingerprinting, tracking, and analysis technology for broadcasters, content owner, government agencies, media monitoring companies, and start-ups based on cognitive computing technology
Palo Alto, California, United States
We're building a deep-learning based computer vision platform to solve real problems directly on compute-constrained embedded devices. We're working with some of the largest consumer electronics and chip companies. We're profitable, are backed by top VCs, and are HIRING! If you're interested in helping us ship great products with our customers that are used every day by millions of people around the world, drop us a line at [email protected]
San Francisco, California, United States
Foundation models to automate x-ray analysis for radiologists
Zürich, ZH, Switzerland
Seervision develops AI-powered camera automation software for high-impact spaces. The Seervision Suite, is a software-based solution that automates PTZ camera control for a wide range of applications, such as videoconferencing, lecture capturing, and keynote presentations. Seervision enables AI-powered multi-camera automated flows that run fully autonomously and react live to what’s happening in the room. Behind our technology is a team of experts in computer vision, machine learning, robotics, and camera control. Our technical proficiency is at the core of our company, and in an industry that's changing rapidly, it's our agility and inventiveness that sets us apart. In July 2023, Seervision joined the Q-SYS family. The acquisition marked the integration of our advanced AI technology with the Q-SYS platform, setting new standards for intelligent video in hybrid learning and high-impact collaboration spaces moving forward. What makes us unique: → robust auto-tracking built on full-body recognition → computer vision-based scene understanding → zone-based triggers for unmatched room automation possibilities → precise robotic camera control for the smoothest panning and zooming motions → native integration into the Q-SYS ecosystem
Antwerpen, Antwerpen, Belgium
Pathomation develops and markets Digital Pathology viewing and image management software since 2012. We are convinced that digital pathology is the future for diagnostic consultations, primary and intraoperative diagnosis, medical student education, resident training, diagnostic decision support, peer review, manual and semi quantitative review of immunohistochemistry (IHC), and tumor boards. Pathomation digital pathology software reduces laboratory expenses, boosts operational efficiency, enhances productivity, aids in better treatment decisions and ultimately improves patient care. Our image management software has a modular design adapting to diverse user requirements for clinical diagnosis, education and research. Our customers range from pharmaceutical companies and teaching institutes, to research groups and clinical pathology labs. Our software is designed to be truly universal as we: - can open all scanner file formats - have CE-IVD certification for all these formats - are accessible via a web browser without local installation - are compatible with both on premise server and cloud installation - integrate to your software with an HL7 FIHR IHE server - and can talk to third party Artificial Intelligence algorithms. In addition to our software portfolio, we can provide Pathotrainer services for biomarker education and training in collaboration with our pathologists' partner organisations.
Jakarta Selatan, DKI Jakarta, Indonesia
Established in 2016, Qlue has transformed from a tech startup to a comprehensive smart city provider company in Indonesia. Driven by the mission to accelerate positive changes worldwide, we have built a platform which consists of cutting-edge technology products leveraging workforce management, artificial intelligence (AI) and internet offerings things (IoT). Three years working on the industry, Qlue received multiple awards, including Global Smart City Contest winner by World Smart City Organization in London (2018), Best M-Government Service Award from theWorld Government Summit in Dubai (2019), and Startup of the Year from Jumpstart Magazine, Hong Kong (2019). Qlue is committed to implement smart city technology to both government and private sectors in Indonesia, through its various solutions. Other than QlueApp (citizen reporting app) for government sector, Qlue has also developed QlueVision (computer vision technology), QlueWork (mobile workforce management), QlueDashboard (all-in-one platform for visualizing data), and QlueSense (IoT-based technology) for private sectors, helping them to realize data-driven decision making. Currently, Qlue is trusted by more than 50 clients from government institutions, disaster relief organizations, satellite cities, private companies in various industries, and government agencies in Indonesia.
United States
Our mission is to unlock the value of Earth Observation data. We use Artificial Intelligence to absorb complexity and cost, providing actionable knowledge to our users. Complex data, made easy.
Fort Lauderdale, Florida, United States
If you're looking for a way to improve your business & reduce labor costs, look no further than MobiClocks. Our solution is designed to simplify the tasks of time and attendance management, cost code allocation, and payroll processing. MobiClocks delivers superior value through: - Face Recognition technology which virtually eliminates ghost employees and buddy punchers; - Geofencing and GPS integration that helps identify 15 minute scalpers; - Integration with world-leading accounting systems simplifies and expedites payroll and HR processing; - Accurate and intuitive crew-based cost coding keeps labor costs within budget; - Our robust dashboard and flag alert system makes it easy to identify attendance management challenges. Contact us today, sign up for a free trial, and see how MobiClocks saves you time and money! https://calendly.com/mobiclocks
Darmstadt, Germany
FlyPix AI is the all-in-one platform powered by artificial intelligence for object detection, localization, and segmentation. Extract geo-referenced insights...
Hamburg, HH, Germany
Bringing digital dermatology to people. doctorderma sets free patients and corporates time
Latka tracks 221 image recognition software companies under $1M in annual revenue. Together they generate $96.3M in annual revenue and employ 1.2K people.
ivitec GmbH is the largest, with $990K in annual revenue, founded in 2006.
The average image recognition software company in this list makes $435.6K a year, across 221 companies with reported revenue. They serve 1.5M customers combined.
Ranked by annual revenue, the leaders are ivitec GmbH, Pilot AI, Mecha Health, Seervision and Pathomation.
The 221 image recognition software companies under $1M in annual revenue tracked here have raised $313.5M 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.
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