Top 7 Radiology Information Systems Companies Under $1M Revenue (August 2026)

San Francisco, California, United States

Foundation models to automate x-ray analysis for radiologists

Greenwich, New York, United States

Image Owl creates complete, convenient, accurate, and insightful cloud-based solutions to analyze and manage your diagnostic medical imaging and radiotherapy quality assurance needs. Image Owl products are designed to combine simple and clear operations with accurate and meaningful analysis to maximize the efficiency of your QA. Our main products: Total QA: A comprehensive radiotherapy QA management management system that allows you to consolidate data from multiple sources and devices into one powerful database that is accessible on any web enabled device. Combined with built-in fully automated analysis routines for many common LINAC machine QA routines and a comprehensive document management system Total QA represents the next generation of radiotherapy QA management tools. Catphan® QA, developed in close cooperation between Image Owl’s imaging engineers and the Catphan® designers, is the complete and accurate service for measuring your CBCT or conventional CT system performance. The MR distortion analysis service, developed by Image Owl in close cooperation with the Magphan® Quantitative Imaging (ADNI) phantom designers, is the complete and accurate system for measuring 3D MR spatial distortion. The service is cloud-based, fully automated, and requires no installation or maintenance. Simply upload a scan of the Magphan® ADNI phantom and receive a complete report of your MR system’s distortion and noise characteristics.. The Tomophan® Analysis Service, developed by Image Owl in close cooperation with the Tomophan® Phan-tom designers, is the complete and accurate system for measuring all key image quality parameters of digital breast tomosynthesis images. The service is cloud-based, fully automated, and requires no installation or maintenance. Simply upload a scan of the Tomophan® Phantom and receive a complete report of your DBT system’s imaging characteristics. Image Owl also offers complete OEM customization solutions.

Wrocław, Dolnośląskie, Poland

CancerCenter.ai - Web Platform for Digital pathology & Radiology with Artificial Intelligence With the help of AI, our CancerCenterAI web platform assists pathologists and radiologists/oncologists in making faster and more accurate diagnoses through specialized modules. Our web platform offers an intuitive file browser and viewers for pathology and also radiology data. Features: - PathoCam: save pathology/microscope images by using your own microscope equipment. - PathoViewer Module: web viewer for telepathology to analyze, annotate and comment cases. - Laboratory Information System Module - RadioViewer Module: DICOM web viewer to analyze Radiology images (MRI, CT, USG others) with PACS integration - Advanced AI Algorithms i.e: Gleason score, ki67, Metastasis, etc - Collaborative and Remote Diagnostics: The sharing features of our platform allow for easy and secure collaboration with colleagues, whether they are in the next room or another country, fostering a more effective and interactive diagnostic process - Accelerated and Standardized Reporting: With integrated ICCR, WHO or custom report templates - Robust Security: Our platform employs SSL encryption and other cutting-edge security measures to ensure the privacy and integrity of your sensitive data. - Scanner Integration Options: Our platform can integrate with any scanner, ensuring that your existing equipment is part of your streamlined, digital workflow, thereby saving costs and avoiding the hassle of changing hardware. More details about us and our products: https://cancercenter.ai Feel free to contact us: Piotr Krajewski + 48 694 233 234, [email protected] Let’s save lives!

Cambridge, England, United Kingdom

SaaS, Cancer Diagnosis, Radiology, MRI, Prostate Cancer

Toronto, Ontario, Canada

Developer of an online post-processing software platform designed to reconstruct and segment 3D images of peripheral nerves. The company's software platform reconstruct MRI images to identify areas of nerve damage as well as areas in and around the nerves that are indicative of inflammation, enabling physicians to identify signs of nerve degeneration or regeneration over time.

San Francisco, California, United States

Scale AI for Medical Scans

Ankara, Ankara, Turkey

PostDICOM is the next generation PACS (Picture Archiving and Communication System) which is built using Cloud technologies. It provides advanced tools and services to be used by healthcare professionals. PostDICOM is an advanced software for all users who want secure data archiving and access in the healthcare field, especially healthcare professionals. With this software, both individuals and corporate users will be able to convert any medical image into DICOM (Digital Imaging and Communications in Medicine) format and store it in the cloud environment. Data is stored in the cloud and provided with high-level data security. It is easily accessible from any HTML5 compliant devices (desktop PCs, tablets and smartphones). Owing to these qualities, it can be used as an individual archive for many years as well as being used as a PACS (Picture Archiving and Communication System) and TeleHealth solution for a hospital chain. If you want to use it as a PACS solution, you will be able to access the data very quickly thanks to advanced image processing tools and data streaming algorithms. Under all conditions, our highest priority is that the end user gets the best service. The system is available with 50 GB of free space. This space is free and expandable. If you need more space, request for an additional data and we will provide you storage space with a fee. The software is mainly used for image archiving, processing and grouping, and in the future it will be used for sharing and training purposes. With these features, it goes beyond just being an archive and ensures that all users behave like an independent enterprise on the system. Healthcare professions will be able to exchange ideas with their colleagues on their own fields, offer their patients a second opinion and safely archive data from patients if necessary.