Infervision
Beijing
About Infervision
Infervision is an AI high-tech company that uses deep learning technology and computer vision to help diagnose cancers. Beijing Infervision is an artificial intelligence high-tech company committed to applying deep learning technology to assist medical image diagnosis as efficient and accurate solutions. Infravision effectively uses various types of medical data to create clinically valued products and promotes precision analysis in the medical field, especially in assisted image diagnosis. Based on years of research preparation, Infervision launched the world's first "Infervision - artificial intelligence precise healthcare platform", and is the first to release intelligent X-ray assisted diagnosis products and intelligent CT assisted diagnosis products. These products are already in trials at Shanghai Changzheng Hospital, Tongji Medical College of HUST in Wuhan, and Dalian Zhongshan Hospital. The company is also engaged in academic research and has established a deep cooperative relationship with top institutions in Chinese Radiology, combining both medical science and medical technology while laying a solid foundation for artificial intelligence breakthroughs in the medical field. Infervision has established cooperative business partnerships with close to 20 Tertiary Grade A hospitals including Peking Union Medical College Hospital, Shanghai Changzheng Hospital, Tongji Medical College of HUST in Wuhan, and Dalian Zhongshan Hospital, and has successfully broken the barriers between medical data, technology, and application scenarios, creating a unique system of an artificial intelligence computing platform and precise healthcare intelligence system.
Company Facts
- Operating status: Active
- Company type: For Profit
- IPO status: Private
- Employees: 51 – 100
- Estimated revenue: $1K – $10K
- Total funding: $214.7M
- Funding stage: Late Stage Venture
- Last round: Series D (Jul 2021)
- Website: global.infervision.com
- Phone: [email protected]
Industries & Categories
Artificial Intelligence (AI), Health Care, Health Diagnostics, Machine Learning, Medical
Social Profiles
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