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DateInvestorsAmountRound
-investor investor investor

€0.0

round
investor

€0.0

round
investor

€0.0

round
investor

€0.0

round
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N/A

Grant
Total Funding000k

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Revenues, earnings & profits over time
EUR2020202120222023
Revenues0000000000000000
% growth--50 %83 %
EBITDA0000000000000000
Profit0000000000000000
% profit margin-4 %4 %-
EV0000000000000000
EV / revenue00.0x00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x00.0x
R&D budget0000000000000000

Source: Company filings or news article, Dealroom estimates

More about VEIL.AI
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Veil.AI is a startup that operates in the health data privacy sector. It provides a unique solution to the challenges of using sensitive health data safely and effectively. The company's primary product, the VEIL.AI Anonymization Engine, uses artificial intelligence to transform personal health data into anonymized and synthetic data. This data is compliant with privacy regulations such as the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA).

Veil.AI's services are particularly beneficial for pharmaceutical and MedTech companies, hospitals, researchers, and any organization that needs to use health data securely for secondary purposes. Secondary use refers to the use of data for purposes other than those for which it was initially collected, such as research or development.

Unlike traditional anonymization methods, which often result in the loss of valuable data, Veil.AI's AI-based solution maintains the quality and usability of the data. This is achieved by customizing the anonymization process to optimize quality, allowing users to draw the same conclusions from the anonymized data as they would from the original data.

Veil.AI's business model revolves around providing these anonymization, synthetic data, and pseudonymization services. Pseudonymization is a data management and de-identification procedure by which personally identifiable information fields within a data record are replaced by artificial identifiers or pseudonyms. The company generates revenue by charging clients for these services.

Keywords: Health Data Privacy, Anonymization, Synthetic Data, Pseudonymization, GDPR Compliance, HIPAA Compliance, Artificial Intelligence, Data Quality, Data Usability, Secondary Use of Data.

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