Qventus
Financials
Estimates*
USD | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|---|
Revenues | 13.8m | 28.5m | 28.5m | 17.0m | 31.5m | 34.8m |
% growth | - | 107 % | - | (40 %) | 85 % | 10 % |
Date | Investors | Amount | Round |
---|---|---|---|
- | N/A | - | |
N/A | N/A | Early VC | |
N/A | N/A | Seed | |
N/A | N/A | Early VC | |
$2.0m | Early VC | ||
$13.0m | Series A | ||
$13.0m | Series A | ||
* | $30.0m | Series B | |
* | $50.0m | Growth Equity VC | |
* | $3.0m Valuation: $250m | Late VC | |
Total Funding | €101m |
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Recent News about Qventus
EditQventus is a healthcare technology startup that leverages artificial intelligence (AI), machine learning (ML), behavioral science, and integrated Electronic Health Record (EHR) and market data to automate care operations. The company operates in the healthcare market, serving a range of clients including large health systems, community hospitals, and academic medical centers.
The Qventus platform is designed to drive operational improvements in healthcare facilities, resulting in significant value for health systems, patients, and employees. It does this by increasing visibility and optimizing resource utilization across the enterprise, which in turn leads to shorter patient stays, higher quality care, and improved visibility into processes. The platform also helps reduce staff burnout by decreasing cognitive burden and allowing more time with patients.
Qventus operates on a business model that provides strategic partnership for transforming healthcare operations. It has proven successes in hundreds of deployments across its client base. The company's platform has been recognized for its effectiveness, with one facility reporting a $10+ million annual financial benefit.
The company generates revenue by selling its platform to healthcare facilities. The platform's ability to increase efficiency, optimize space and resources, and improve staff engagement makes it a valuable tool for these facilities.
Keywords: Healthcare Technology, Artificial Intelligence, Machine Learning, Operational Efficiency, Resource Optimization, Staff Engagement, Electronic Health Record Integration, Care Operations Automation, Strategic Partnership, Revenue Generation.