Savana

Savana

Savana is a unique company at leveraging AI to generate global and deep Real World Evidence, thus enabling a data-driven healthcare.

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DateInvestorsAmountRound
-investor investor

€0.0

round
investor

€0.0

round
investor

€0.0

round
investor investor investor

€0.0

round
investor investor investor investor investor

€0.0

round
*

€4.5m

Late VC
Total Funding000k

Financials

Estimates*

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Revenues, earnings & profits over time
EUR2017201820192020202120222023
Revenues0000000000000000000000000000
% growth330 %(9 %)222 %10 %56 %--
EBITDA0000000000000000000000000000
% EBITDA margin38 %(93 %)(91 %)----
Profit0000000000000000000000000000
% profit margin43 %(91 %)(93 %)----
EV0000000000000000000000000000
EV / revenue00.0x00.0x00.0x00.0x00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x00.0x00.0x00.0x00.0x
R&D budget0000000000000000000000000000

Source: Company filings or news article, Dealroom estimates

More about Savana
Made with AI
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Savana is a healthcare technology company that specializes in transforming unstructured clinical records into structured Big Data using advanced Artificial Intelligence (AI). The company serves a diverse range of clients including private practices, small medical institutions, primary care centers, and larger healthcare organizations. Operating in the health informatics market, Savana's core business model revolves around providing AI-driven solutions that unlock the clinical value embedded within electronic health records (EHRs). By converting free-text clinical notes into actionable data, Savana enables healthcare providers to generate clinical research hypotheses, conduct observational studies, predict clinical events, and understand epidemiological behaviors. The company generates revenue through subscription-based models and customized solutions tailored to the specific needs of its clients. Savana's innovative technology supports decision-making in real-life cases, offering a significant advantage in the rapidly evolving field of health science.

Keywords: AI, Big Data, clinical records, health informatics, EHR, observational studies, epidemiology, healthcare technology, decision support, subscription model.

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