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Founded Year



Series D - II | Alive

Total Raised




Last Raised

$94.94M | 2 yrs ago

About Infervision

Infervision operates as an artificial intelligence (AI) medical technology company. It provides products and services to providers and patients with AI solutions fully integrated with the healthcare workflow to help diagnose various diseases and conditions such as cerebral hemorrhage, lung cancer, bone fractures, emphysema, and more. Infervision also provides an AI-powered research platform for medical professionals with any research directions and needs. It was founded in 2015 and is based in Beijing, China.

Headquarters Location

18 / F, Seat E Ocean international Center, Chaoyang District

Beijing, Beijing,



ESPs containing Infervision

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

Healthcare & Life Sciences / Monitoring, Imaging & Diagnostics Tech

The radiology AI — CT diagnostics market refers to the application of AI technologies in analyzing and interpreting CT scans for diagnostic purposes. CT scans are a common imaging modality used in radiology to capture detailed cross-sectional images of the body. With the integration of AI algorithms and machine learning techniques, radiologists can leverage advanced image analysis capabilities to …

Infervision named as Highflier among 9 other companies, including Aidoc, Arterys, and Keya Medical.


Research containing Infervision

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

CB Insights Intelligence Analysts have mentioned Infervision in 2 CB Insights research briefs, most recently on Mar 31, 2023.

Expert Collections containing Infervision

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

Infervision 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

150 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.

Infervision Patents

Infervision has filed 10 patents.

The 3 most popular patent topics include:

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

Application Date

Grant Date


Related Topics




Artificial neural networks, Machine learning, Learning methods, Artificial intelligence, Deep learning


Application Date


Grant Date



Related Topics

Artificial neural networks, Machine learning, Learning methods, Artificial intelligence, Deep learning



Infervision Frequently Asked Questions (FAQ)

  • When was Infervision founded?

    Infervision was founded in 2015.

  • Where is Infervision's headquarters?

    Infervision's headquarters is located at 18 / F, Seat E, Beijing.

  • What is Infervision's latest funding round?

    Infervision's latest funding round is Series D - II.

  • How much did Infervision raise?

    Infervision raised a total of $210.39M.

  • Who are the investors of Infervision?

    Investors of Infervision include Zhongguancun Science City Science and Technology Fund, V-Capital, New Alliance Capital, Zhongguancun M&A Fund, Shenzhen Investment Holdings and 19 more.

  • Who are Infervision's competitors?

    Competitors of Infervision include Aidoc and 6 more.


Compare Infervision to Competitors

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.

Aidoc Logo

Aidoc provides 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.

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.

Ultromics Logo

Ultromics provides an artificial intelligence (AI)-based echocardiography imaging analysis platform. The company provides software solutions such as the EchoGo product, which enhances the accuracy of the diagnosis of cardiovascular situations and provides reports for clinicians without any need for physical software on-site. The company was founded in 2017 and is based in Oxford, United Kingdom.


12 SIGMA is a biotechnology company that integrates artificial intelligence and deep learning into modern medical image diagnosis and medical data analysis. 12SIGMA is based in Beijing and San Diego.

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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