
Gleamer: Medical imaging encompasses a variety of advanced technologies, and French startup Gleamer is making significant strides in enhancing them with artificial intelligence (AI). After successfully improving X-rays and mammograms, Gleamer is now focusing on revolutionizing Magnetic Resonance Imaging (MRI).
Rather than starting from scratch, Gleamer has acquired two AI-driven startups—Pixyl and Caerus Medical—that have specialized in MRI analysis. This strategic move will accelerate Gleamer’s entry into the MRI space, where it aims to build comprehensive AI-powered diagnostic tools for radiologists.
Part of a growing wave of AI startups in medical imaging, Gleamer is positioned as a leader in this emerging field. While many startups emerged in 2014-2015, the space has seen consolidation, with Zebra Medical Vision and Arterys acquired by Nanox and Tempus, respectively.

Founded in 2017, Gleamer has developed an AI assistant designed to help radiologists interpret medical images more accurately. To date, the company’s software has been adopted by 2,000 institutions across 45 countries, processing 35 million medical examinations. Gleamer holds CE and FDA certifications for its bone trauma interpretation product, as well as certification for specialized products targeting chest X-rays, orthopedic assessments, and bone age measurements.
“The one-size-fits-all approach doesn’t work in radiology,” says Gleamer co-founder and CEO Christian Allouche. “It’s challenging to build a single model for all medical imaging needs while maintaining the expected performance standards for doctors.”
This realization led Gleamer to create smaller, specialized teams for mammography and CT scans. After 18 months of development, the company launched an AI-powered mammography product trained on 1.5 million mammograms. Gleamer is also working on a CT scan tool for cancer detection.
Expanding into MRI with AI Acquisitions
MRI analysis is complex, involving multiple tasks like detection, segmentation, classification, and multi-sequence imaging. To quickly scale its MRI capabilities, Gleamer has acquired Pixyl and Caerus Medical. The two companies will serve as Gleamer’s core MRI platforms, with plans to cover all MRI use cases within the next two to three years.
Despite impressive results from its AI models, Gleamer acknowledges room for improvement. For instance, its mammography tool detects four out of five cancers, compared to three out of five detected by human radiologists. These AI models show immense promise in enhancing productivity in medical imaging, as a missed tumor will likely appear in subsequent exams.

AI’s Role in Preventive Medical Imaging
Looking ahead, Gleamer’s CEO predicts that in the near future, routine whole-body MRIs will be standard, with insurance coverage due to the non-invasive nature of MRI. Currently, however, some cities face a shortage of radiologists, making it challenging to keep up with the increasing demand for diagnostic imaging.
With AI, Gleamer envisions a transformative shift toward preventive imaging. “AI will become an orchestration and triaging tool, automating many processes in medical imaging,” says Allouche. AI models can improve diagnostic sensitivity, helping radiologists rule out conditions with greater accuracy.
As AI continues to evolve, Gleamer is poised to play a pivotal role in transforming the future of medical imaging, making it more accessible, accurate, and effective.
Gleamer, a cutting-edge AI startup specializing in medical imaging, is making waves in the healthcare industry by expanding its focus from X-rays and mammography to the more complex and challenging domain of magnetic resonance imaging (MRI). The company has strategically acquired two promising startups, Pixyl and Caerus Medical, both of which have been working on AI-powered MRI analysis. By incorporating these companies into its operations, Gleamer aims to enhance its capabilities in MRI diagnostics and accelerate the adoption of its AI-powered solutions in this space.

Founded in 2017, Gleamer has made a significant impact in the medical imaging field by providing AI-powered tools that assist radiologists in improving diagnostic accuracy. The startup’s software solutions have already been adopted by over 2,000 institutions across 45 countries, with Gleamer processing more than 35 million medical examinations. Gleamer’s AI-driven assistant supports radiologists by improving the accuracy of interpreting medical images, particularly in bone trauma, chest X-rays, and orthopedic imaging. The company holds both CE and FDA certifications for its products, making it a trusted name in the medical field.
The move into MRI analysis is a natural progression for Gleamer, as MRI is one of the most sophisticated imaging technologies in the healthcare industry. Gleamer’s CEO, Christian Allouche, highlighted the challenges of applying a “one-size-fits-all” approach to radiology. Instead, the company has adopted a focused strategy by creating small internal teams to tackle specific areas of imaging, such as mammography and CT scans. Now, by acquiring Pixyl and Caerus Medical, Gleamer will be able to address the unique challenges in MRI, including segmentation, detection, characterization, and multi-sequence imaging.
With these acquisitions, Gleamer is poised to revolutionize MRI diagnostics, positioning itself as a leader in AI-powered medical imaging technology. The company envisions a future where AI plays an essential role in preventive healthcare, transforming the way radiologists diagnose and treat patients. By leveraging AI to automate routine imaging tasks, Gleamer aims to improve diagnostic accuracy and reduce the burden on healthcare systems worldwide.
What is Gleamer’s main product?
Gleamer offers an AI-powered assistant for radiologists that enhances the accuracy of interpreting medical images. It covers various areas, including bone trauma, chest X-rays, and orthopedic imaging. The company is now expanding into MRI diagnostics by acquiring Pixyl and Caerus Medical.
What makes Gleamer different from other medical imaging AI companies?
Gleamer focuses on developing specialized AI models for specific medical imaging tasks, such as mammography and CT scans, instead of using a one-size-fits-all approach. This enables Gleamer’s AI to provide higher accuracy for each imaging type.