Aetion
Financials
Estimates*
USD | 2019 | 2020 | 2021 |
---|---|---|---|
Revenues | 37.5m | 41.0m | 46.8m |
% growth | - | 9 % | 14 % |
Date | Investors | Amount | Round |
---|---|---|---|
- | N/A | - | |
N/A | N/A | Seed | |
$11.2m | Series A | ||
$36.4m | Series B | ||
* | $27.0m | Series B | |
$19.0m Valuation: $135m | Series B | ||
$110m | Series C | ||
Total Funding | €185m |
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Recent News about Aetion
EditAetion is a technology startup that operates in the healthcare sector, specifically in the area of real-world evidence (RWE). The company develops software solutions that help life sciences developers, regulators, and purchasers make critical decisions based on real-world data. Aetion's software provides insights into how medical innovations work in real-world settings, from initial hypothesis to long-term safety monitoring.
The company's clients include major players in the life sciences industry, such as pharmaceutical companies and healthcare regulators. Aetion's software allows these clients to generate and analyze a wide range of data, providing clinical insights that were previously unavailable. This data-driven approach helps expedite care and treatment options for patients in need.
Aetion's business model revolves around its software platform and complementary apps, which are designed to manage longitudinal data and generate synthetic health data using artificial intelligence (AI). The company also offers data, science, and regulatory services to help shape and speed up clients' real-world data strategies.
Aetion makes money by selling its software solutions and services to its clients. The company's value proposition is the ability to maximize return on investment on real-world data, by providing quick insights and facilitating critical decisions based on this data.
In conclusion, Aetion is a healthcare technology startup that leverages real-world data to help life sciences companies make informed decisions and expedite patient care.
Keywords: Healthcare Technology, Real-World Evidence, Life Sciences, Data Analysis, Software Solutions, Artificial Intelligence, Longitudinal Data Management, Regulatory Services, Synthetic Health Data, Patient Care.