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About provides an artificial intelligence (AI) 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.

Headquarters Location

Level 6, Oberoi Commerz II, Goregaon East

Mumbai, 400063,



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ESPs containing

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

Healthcare & Life Sciences / Care Delivery & Navigation Tech

The AI-assisted interventional radiology market provides solutions for medical professionals to improve the accuracy and efficiency of interventional radiology procedures using AI technology. AI-assisted interventional radiology utilizes machine learning algorithms to analyze medical images and assist in decision-making during procedures. This technology can help to reduce diagnostic errors, impro… named as Leader among 11 other companies, including Aidoc,, and Arterys.'s Products & Differentiators


    can detect abnormal findings on a chest X-ray. Its is a CE-certified patented algorithms that can detect a total of 30 findings on the chest X-ray.


Research containing

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

CB Insights Intelligence Analysts have mentioned in 2 CB Insights research briefs, most recently on Jun 20, 2022.

Expert Collections containing

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces. is included in 4 Expert Collections, including Artificial Intelligence.


Artificial Intelligence

10,958 items

Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.


Digital Health 150

300 items

The winners of the second annual CB Insights Digital Health 150.


Digital Health

10,585 items

The digital health collection includes vendors developing software, platforms, sensor & robotic hardware, health data infrastructure, and tech-enabled services in healthcare. The list excludes pureplay pharma/biopharma, sequencing instruments, gene editing, and assistive tech.


Oncology Tech

457 items

This collection includes companies applying technology to cancer care, diagnosis, and treatment. Examples include vendors offering cancer detection and diagnosis, oncology clinical decision support, real-world data, and AI oncology drug discovery. Patents has filed 14 patents.

The 3 most popular patent topics include:

  • artificial neural networks
  • machine learning
  • medical imaging
patents chart

Application Date

Grant Date


Related Topics




Stroke, Deep learning, Machine learning, Artificial neural networks, Image processing


Application Date


Grant Date



Related Topics

Stroke, Deep learning, Machine learning, Artificial neural networks, Image processing



Latest News

Siemens Healthineers and Global Fund target AI-enabled TB screening

Oct 17, 2023

Siemens Healthineers and Global Fund target AI-enabled TB screening Deep-learning tech will provide its X-ray algorithms for the scheme that will initially focus on Indonesia’s tuberculosis burden. The World Health Organisation estimates that 1.6 million died from tuberculosis globally in 2021. Image credit: Shutterstock/15Studio. Siemens Healthineers and the Global Fund to Fight AIDS, Tuberculosis and Malaria have teamed up to bring artificial intelligence (AI)-enabled tuberculosis (TB) screening to countries with high burdens, speeding up detection of the disease. Announced at the World Health Summit held from 15-17 October in Berlin, Germany, the partnership will start its work in Indonesia, which has one of the highest tuberculosis burdens in the world, accounting for 9% of all global cases. Go deeper with GlobalData Siemens Healthineers and Global Fund said in a joint statement that AI can help with faster interpretation of routine chest X-rays, leading to more timely diagnosis of the disease. The Global Fund received grants from 2021 to 2023 that add up to $157m to help end the tuberculosis epidemic in Indonesia. Siemens Healthineers will work closely with India-based deep-learning tech company, which has developed AI-based X-ray software for TB. According to, its platform – which can be deployed over the cloud or on-premises – can help spot more TB cases in a quicker time in addition to costing less. The company already has two US Food and Drug Administration (FDA) clearances for X-ray platforms identifying heart failure risks and lung conditions. How well do you really know your competitors? Access the most comprehensive Company Profiles on the market, powered by GlobalData. Save hours of research. Gain competitive edge. Not ready to buy yet? Download a free sample We are confident about the unique quality of our Company Profiles. However, we want you to make the most beneficial decision for your business, so we offer a free sample that you can download by submitting the below form By GlobalData Submit I consent to GlobalData UK Limited collecting my details provided via this form in accordance with the privacy policy Submit and download A 2023 report by GlobalData predicts that global revenue for AI platforms across healthcare will reach $18.8bn by 2027. Siemens Healthineers and Qure.AI will hand out free licences for the AI software and train healthcare workers on the ground to aid the AI implementation. The new scheme aims to increase screening capabilities so that people previously undetected with TB can be diagnosed. Siemens Healthineers states that one person with untreated TB can infect up to 15 people in a year. Siemens Healthineers chief executive Bernd Montag said: “Today, we harness expertise in AI to supercharge screening programmes for more precise, earlier tuberculosis diagnosis for a greater number of people.” Global Fund executive director Peter Sands said: “Patient finding and diagnosis continue to be key obstacles in the fight against tuberculosis. If we are to beat this disease, which still kills one person every two minutes, we urgently need more efficient and more accurate tools to detect it. We believe that AI is one of the answers.” Share this article Frequently Asked Questions (FAQ)

  • When was founded? was founded in 2016.

  • Where is's headquarters?'s headquarters is located at Level 6, Oberoi Commerz II, Goregaon East, Mumbai.

  • What is's latest funding round?'s latest funding round is Biz Plan Competition.

  • How much did raise? raised a total of $60.99M.

  • Who are the investors of

    Investors of include Japan Smart Healthy Aging QuickFire Challenge, Merck & Co, MassMutual Ventures, Novo Holdings, Healthquad and 9 more.

  • Who are's competitors?

    Competitors of include Rology, Kheiron Medical Technologies, EnvisionIt Deep AI, Oxipit, PaxeraHealth and 7 more.

  • What products does offer?'s products include qXR and 3 more.

  • Who are's customers?

    Customers of include NHS Trusts and vRAD.


Compare to Competitors

Aidoc Logo

Aidoc operates as a healthcare technology company providing a care coordination platform. It offers a wide range of solutions such as real-time notifications for neuro care, automatic analysis of imaging to identify abnormalities, and more. It was founded in 2016 and is based in Tel Aviv, Israel.

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.

Enlitic Logo

Enlitic is a company that focuses on healthcare data management, specifically within the domain of radiology. The company offers solutions that standardize, protect, integrate, and analyze medical imaging data, using artificial intelligence to improve clinical workflows and create a real-world evidence medical image database. Enlitic primarily serves the healthcare industry, with a particular focus on radiologists, PACS administrators, hospital executives, and researchers. It was founded in 2014 and is based in San Francisco, California.

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. It was formerly known as Maesterai. The company was founded in 2016 and is based in London, United Kingdom.

Arterys Logo

Arterys is a company that focuses on the integration of artificial intelligence and data in the medical sector, specifically in the domain of radiology. The company offers a cloud-based platform that uses AI to extract actionable insights from medical images, aiming to improve diagnostic decision making, efficiency, and productivity. Its services primarily cater to the healthcare industry. Arterys was formerly known as Morpheus Medical, Inc.. It was founded in 2011 and is based in San Francisco, California.

MaxQ AI Logo

MaxQ AI is a company focused on artificial intelligence and clinical workflow automation in the healthcare sector. The company offers innovative software solutions that interpret medical images and patient data, assisting physicians in making faster and more accurate decisions in diagnosing serious conditions such as intracranial hemorrhage, stroke, and brain trauma. The primary customers of MaxQ AI are physicians and healthcare providers. MaxQ AI was formerly known as MedyMatch. It was founded in 2013 and is based in Tel Aviv, Israel.


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