1
Belegmeister
Berlin, Germany
Belegmeister creates travel expense reports from nothing but a photo of your receipts! All relevant data is processed to a full report.
- Revenue
- $1M
- Customers
- -
- Year founded
- 2013
- Funding
- -
- Team size
- 2
- Growth
- 926.78%
Top 587 Image Recognition Software SaaS Companies in May 2026
As of May 2026, there are 587 SaaS companies in Image Recognition Software. They have combined revenues of $9B and employ 42.4K people. They have raised $9.5B and serve 1B customers combined.
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.
Filters
Sorting: Highest -> Lowest
Top Image Recognition Software Companies
Showing 10 of 224 companies ranked by annual revenue.
- Revenue
- $1M
- Customers
- -
- Year founded
- 2016
- Funding
- -
- Team size
- 5
- Growth
- -
- Revenue
- $1M
- Customers
- 12
- Year founded
- 2017
- Funding
- $1.5M
- Team size
- 99
- Growth
- -
- Revenue
- $1M
- Customers
- -
- Year founded
- 2022
- Funding
- -
- Team size
- 7
- Growth
- -
5
Seervision
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
- Revenue
- $990K
- Customers
- -
- Year founded
- 2016
- Funding
- -
- Team size
- 9
- Growth
- -
6
EarthPulse
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.
- Revenue
- $990K
- Customers
- -
- Year founded
- 2020
- Funding
- -
- Team size
- 9
- Growth
- -
7
Lisuto AI
Tel Aviv-Yafo, Tel Aviv, Israel
Your Data, Visibly Better. Lisuto AI powers data extraction from text & images for eCommerce.
- Revenue
- $990K
- Customers
- -
- Year founded
- 2015
- Funding
- -
- Team size
- 9
- Growth
- -
8
CatWalkCraft AI
Helsinki, Finland
Revolutionizing Fashion Showcasing with AI -Powered Visuals for Engaging, Cost-Effective, and Sustainable Solutions.
- Revenue
- $990K
- Customers
- -
- Year founded
- 2025
- Funding
- -
- Team size
- 9
- Growth
- -
9
Pathomation
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.
- Revenue
- $990K
- Customers
- -
- Year founded
- 2012
- Funding
- -
- Team size
- 9
- Growth
- -
10
Mecha Health
San Francisco, California, United States
Foundation models to automate x-ray analysis for radiologists
- Revenue
- $990K
- Customers
- -
- Year founded
- 2025
- Funding
- -
- Team size
- 9
- Growth
- -
Inclusion Criteria
- 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.