Vienna-based healthtech startup contextflow raises €6.7 million Series A round

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Today Austrian healthtech startup contextflow, a leading provider of artificial intelligence for medical image analysis, announces a second closing of its now 6.7 million Series A funding round.

The first closing was led by B&C Innovation Investments GmbH (BCII) and included participation from new co-investor TTIP Beteiligungs GmbH and current investors APEX Ventures, Crista Galli Ventures, IST cube, Nina Capital and Novacapital. A recent second closing included an additional 2 million from new co-investor Peak Pride Management GmbH, HPH (Hans Peter Haselsteiner) Start-up Unit and current investor APEX Ventures with its ‘APEX Best in Class’ fund.

The startup states that the closing represents one of the largest Series A healthtech investments in Europe this year to date. The funds will be used to accelerate market entry in Europe and the US, including obtaining FDA clearance for contextflow SEARCH Lung CT, as well as extending the company’s offerings to include new products and features covering a wider range of organs and modalities.

Founded in 2016 as a spinoff of the Medical University of Vienna (MUW), contextflow develops deep learning-based software to improve radiology workflows, saving radiologists time and improving reporting quality. Its core technology is a 3D image-based search engine (SEARCH), which detects disease patterns in 3D medical images like CTs and MRIs. It is currently being used by radiologists on lung CTs, identifying 19 different patterns (including those related to COVID-19), making it one of the only clinical decision support systems of its kind. Another unique feature of SEARCH is its transparency, meaning radiologists can easily see and understand why the algorithm provided a given result.

Markus Holzer, CEO & Co-Founder, explained: “Many AI companies focus on very specific diseases and offer only black-box decision support systems. In contrast, contextflow takes a general approach and develops software that can be extended to additional modalities and organs. This makes contextflow the broadest AI software in the radiology field worldwide. contextflow pays attention to a flexible, transparent and scalable technology architecture to be best prepared for further business development.”

“contextflow’s tremendous expertise in developing deep learning tools for radiology workflows rooted in the team’s profound understanding of the clinical environment has led to incredibly strong interest in the market and 10+ partnerships with international clinics and hospitals. We at APEX are thrilled to continue to support contextflow’s team and vision of tackling the many global challenges suffered by overstrained healthcare systems and thereby improve patient outcomes”, said Andreas Riegler, General Partner at APEX Ventures.

Alexander Sommer-Fein, Managing Director at Peak Pride and its HPH Start-up Unit, continued: “To us, contextflow is a great example for a digital health startup with strong connections to Austrian technology research & knowledge. contextflow showcases how the use of data and artificial intelligence algorithms can provide a clear value-add in healthcare. Therefore, we are very excited to support the company in scaling its technology worldwide alongside a strong group of fellow Austrian investors.” 

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