B-rayZ
Financials
Estimates*
USD | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|
Revenues | <1m | <1m | <1m | 1.1m |
% growth | - | 33 % | 50 % | 273 % |
Date | Investors | Amount | Round |
---|---|---|---|
CHF10.0k | Grant | ||
$170k | Grant | ||
* | CHF4.0m | Series A | |
Total Funding | €3.5m |
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Recent News about B-rayZ
Editb-rayZ is a Swiss startup that leverages artificial intelligence (AI) technology to optimize breast imaging workflows for early cancer detection. The company's primary market is the healthcare sector, specifically radiological networks, where it offers a comprehensive solution for patients, technicians, radiologists, and clinical managers. b-rayZ's business model revolves around standardizing, automating, and digitizing the diagnostic process to increase efficiency and reduce the risk of misdiagnosis.
The company serves clients who are grappling with inefficient workflows, high workloads, staff shortages, and concerns about misdiagnosis. b-rayZ's AI solutions can be integrated seamlessly into any existing IT infrastructure and device manufacturer, enhancing breast imaging operations. The company's technology supports healthcare professionals in providing patients with high-quality, tailor-made solutions.
b-rayZ's suite is a modular end-to-end platform for breast imaging that supports women throughout the entire diagnostic journey. The company distinguishes itself from other AI solutions with its multi-modality product pipeline that offers real-time results with automatic BI-RADS ACR and Image Quality classifications. The company generates revenue by selling its AI solutions to healthcare providers and radiological networks.
In summary, b-rayZ is a healthcare technology startup that uses AI to improve the efficiency and accuracy of breast cancer diagnostics. The company's solutions are designed to integrate with existing systems, making it an attractive option for healthcare providers looking to enhance their diagnostic capabilities.
Keywords: Artificial Intelligence, Breast Imaging, Cancer Diagnostics, Healthcare Technology, Radiological Networks, Workflow Optimization, Digitalization, Standardization, Real-Time Results, Tailor-Made Solutions.