Elaborate
VerifiedUSD | 2023 |
---|---|
Revenues | 0000 |
EBITDA | 0000 |
Profit | 0000 |
EV / revenue | 00.0x |
EV / EBITDA | 00.0x |
R&D budget | 0000 |
Date | Investors | Amount | Round |
---|---|---|---|
investor | $0.0 | round | |
* | $10.0m | Seed | |
Total Funding | 000k |
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Recent News about Elaborate
EditElaborate is a health tech startup that aims to revolutionize the way patients interact with their lab results and health data. The company provides a platform that partners with doctors to deliver personalized, easy-to-understand reports summarizing lab results. This service is particularly beneficial for patients who want to stay informed about their health in real-time and have historical data to contextualize their results.
Elaborate operates in the healthcare technology market, focusing on both patients and healthcare providers. The platform uses a proprietary algorithm to highlight key insights from lab results, making it easier for patients to understand their health status. Additionally, the app offers real-time updates and in-app scheduling to discuss findings with doctors, ensuring that patients can take timely action based on their results.
The business model of Elaborate is likely subscription-based, where healthcare providers or patients pay a recurring fee to access the platform's services. This model ensures a steady revenue stream while providing continuous value to its users. The company makes money by offering a premium service that enhances the patient-doctor interaction, making healthcare more efficient and personalized.
In summary, Elaborate is a health tech startup that partners with doctors to provide personalized lab result reports, real-time updates, and in-app scheduling for consultations. It serves patients and healthcare providers in the healthcare technology market, using a subscription-based business model to generate revenue.
Keywords: Health tech, lab results, personalized reports, real-time updates, proprietary algorithm, patient-doctor interaction, healthcare providers, subscription model, historical data, in-app scheduling.