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Zebra Medical Vision

Founded Year



Acquired | Acquired

Total Raised




About Zebra Medical Vision

Zebra Medical Visions provides an imaging analytics platform that allows healthcare institutions to identify patients at risk of diseases and offer improved, preventative treatment pathways to improve patient care. On August 10th, 2021, Zebra Medical Vision was acquired by Nanox at a valuation between $100M and $200M with $100 million upfront and another $100 million tied to specific milestones, all in stock.

Headquarters Location

Shefayim Commercial Center

Kibbutz Shefayim, 6099000,


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Research containing Zebra Medical Vision

Get data-driven expert analysis from the CB Insights Intelligence Unit.

CB Insights Intelligence Analysts have mentioned Zebra Medical Vision in 4 CB Insights research briefs, most recently on Dec 13, 2022.

Expert Collections containing Zebra Medical Vision

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Zebra Medical Vision is included in 10 Expert Collections, including Artificial Intelligence.


Artificial Intelligence

10,627 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.


Digital Health 150

300 items

2019's cohort of the most promising digital health startups transforming the healthcare industry


Medical Devices

11,919 items

Companies developing medical devices (per the IMDRF's definition of "medical device"). Includes software, lab-developed tests (LDTs), and combination products. *Columns updated as regularly as possible.


AI 100

100 items

The winners of the 4th annual CB Insights AI 100.


Conference Exhibitors

5,302 items


Digital Hospital

98 items

Startups recreating how healthcare is delivered

Zebra Medical Vision Patents

Zebra Medical Vision has filed 19 patents.

The 3 most popular patent topics include:

  • Medical imaging
  • Artificial neural networks
  • Machine learning
patents chart

Application Date

Grant Date


Related Topics




Natural language processing, Machine learning, Artificial neural networks, Classification algorithms, Computational linguistics


Application Date


Grant Date



Related Topics

Natural language processing, Machine learning, Artificial neural networks, Classification algorithms, Computational linguistics



Latest Zebra Medical Vision News

Nanox shares up 63% after scoring FDA clearance for new imaging system

May 1, 2023

The Nanox.ARC imaging system Nanox saw its shares rise 63% Monday morning after scoring U.S. FDA clearance for the Israel-based manufacturer’s novel imaging system. The Nanox.ARC is a stationary X-ray machine that produces images of the human musculoskeletal structure. A multi-source digital 3D tomosynthesis system, the technology utilizes novel, cold-cathode X-ray tubes and charges physicians using a “pay per scan” business model. Nanox first applied for 510(k) clearance of its system in 2021 and during the process faced delays , investor lawsuits and an SEC investigation into its business practices. “The FDA clearance of Nanox.ARC represents an important breakthrough and … an opportunity to increase the availability and accessibility of medical imaging in the United States and worldwide,” radiologist Geoffrey Rubin , MD, MBA, professor and chairman of the Department of Medical Imaging at the University of Arizona and a member of Nanox's Advisory Board, said in a May 1 announcement . “Medical imaging is essential for detecting, diagnosing and managing disease, guiding treatment decisions for improved health outcomes. Nanox.ARC has the potential to be a cost-effective and scalable imaging solution in healthcare settings that would otherwise be unable to deploy traditional medical imaging equipment.” Nanox Imaging said the FDA clearance also covers marketing of the system’s accompanying cloud-based infrastructure. The administration has OK’d the Nanox.ARC for use in professional healthcare facilities or other “radiological environments.” Those include hospitals, clinics, imaging centers and medical practices, with trained radiographers, radiologists and other physicians cleared to operate the technology. In April 2021, Nanox received FDA clearance for its single-source Nanox Cart X-ray System, with the multi-source version able to reconstruct 2D projection images into a stack of slices to form a 3D visualization. Company leaders said they’ll continue to work with the FDA to receive additional regulatory clearances, including expanding to other clinical indications. The announcement also paves the way for Nanox to seek approvals in other FDA-clearance based markets. Nanox also previously closed the purchase of AI firm Zebra Medical Vision and teleradiology firm USARad for more than $200 million in November 2021. The company also offers a suite of artificial intelligence algorithms that augment readings of routine CT imaging.

Zebra Medical Vision Frequently Asked Questions (FAQ)

  • When was Zebra Medical Vision founded?

    Zebra Medical Vision was founded in 2014.

  • Where is Zebra Medical Vision's headquarters?

    Zebra Medical Vision's headquarters is located at Shefayim Commercial Center, Kibbutz Shefayim.

  • What is Zebra Medical Vision's latest funding round?

    Zebra Medical Vision's latest funding round is Acquired.

  • How much did Zebra Medical Vision raise?

    Zebra Medical Vision raised a total of $50M.

  • Who are the investors of Zebra Medical Vision?

    Investors of Zebra Medical Vision include Nanox, NHS England, TELUS Ventures, Israel Innovation Authority, India-Israel Innovation Bridge and 16 more.

  • Who are Zebra Medical Vision's competitors?

    Competitors of Zebra Medical Vision include Koios Medical, Lunit, Aidoc,, BrainScan, Aidence, mediaire, AMRA Medical, Radiobotics, Deepwise and 19 more.

Compare Zebra Medical Vision to Competitors

Aidoc Logo

Aidoc operates as a healthcare technology company. It offers a Care Coordination platform that provides medical images to detect life-threatening conditions like intracranial hemorrhage, brain aneurysm, pulmonary embolism, and more. Aidoc was founded in 2016 and is based in New York, New York.

Kheiron Medical Technologies

Kheiron Medical Technologies operates as a healthcare software company. It helps cancer patients by analyzing medical images and helps to enable the automation of radiology reporting tasks. The company was founded in 2016 and is based in London, United Kingdom.

Arterys Logo

Arterys provides automated, intelligent cloud-based software that uses real-world clinical data to make imaging more accurate and data driven. Arterys develops 4D Flow technology, which generates precise measurements of blood flow noninvasively and non-radiatively anywhere in the body, and enables physicians to visualize and analyze blood flow inside the heart in 3D with automatic, interactive reporting.

Ultromics Logo

Ultromics provides autonomous echocardiography analysis through artificial intelligence (AI) solutions, empowering physicians to make decisions when diagnosing cardiovascular disease. Its cloud-based service, EchoGo, uses artificial intelligence to fully automate the pathway to diagnosis, providing reports for clinicians without any need for physical software on-site. The company was founded in 2017 and is based in Oxford, United Kingdom. Logo provides an artificial intelligence-based system to identify abnormalities in head computed tomography (CT) scans. It leverages deep learning to diagnose diseases from radiology and pathology imaging and create personalized cancer treatment plans from psychopathology imaging and genome sequences. The company was founded in 2016 and is based in Mumbai, India.

VoxelCloud Logo

VoxelCloud utilizes artificial intelligence and cloud-computing technologies to provide automated medical image analysis and clinical decision support for medical practitioners. VoxelCloud aims to provide accurate, accessible, and personalized medical image analysis by building medical image knowledge graph based on medical semantics and multiple artificial intelligence models.

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