DetectED-X

DetectED-X

Powerful, personalised, online radiology training, assessment and research tools.

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DateInvestorsAmountRound
-investor

€0.0

round
investor

€0.0

round
*

AUD250k

Grant
Total Funding000k

Financials

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Revenues, earnings & profits over time
USD202120222023
Revenues000000000000
% growth-100 %17 %
EBITDA000000000000
Profit000000000000
EV000000000000
EV / revenue00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x
R&D budget000000000000

Source: Dealroom estimates

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More about DetectED-X
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DetectedX is a health-tech startup founded in 2019 by a team of globally recognized experts in disease detection. The company operates in the healthcare sector, specifically in the field of medical diagnostics. Its primary focus is on optimizing disease detection, leveraging the expertise of its founders, who have a combined experience of over 30 years in this field. The team includes Professor Patrick Brennan, the world's most published medical radiation scientist, Professor Mary Rickard, a leading breast radiologist, and Dr. Moe Suleiman, an academic at the University of Sydney and a global leader in disease detection.

DetectedX's business model revolves around providing a specific service requested by its users or subscribers. This service involves the use of technical storage or access for the purpose of transmitting communication over an electronic communications network. The company also uses this technical storage or access for storing user preferences and for statistical purposes. This data is used exclusively for anonymous statistical purposes, ensuring user privacy and confidentiality.

The company's revenue model is likely based on a subscription or usage-based fee for its services. Given the founders' backgrounds, DetectedX's primary clients are likely to be healthcare providers, hospitals, and medical research institutions, both in Australia and Southeast Asia, and potentially globally.

In summary, DetectedX is a health-tech startup specializing in disease detection, offering services that leverage advanced technology and data analysis to improve diagnostic accuracy and efficiency.

Keywords: Health-tech, Disease Detection, Medical Diagnostics, Data Analysis, User Privacy, Communication Transmission, Subscription Service, Healthcare Providers, Medical Research, Global Operation.

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