Ekvi is a mobile health application that employs AI-driven symptom tracking and personalized insights to help women with endometriosis monitor their health and communicate effectively with healthcare providers. By analyzing tracked symptoms, the app identifies patterns and correlations, empowering users to understand their condition and advocate for tailored treatment options.
Funding
$125K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Women with endometriosis often struggle to track the wide range of symptoms associated with the condition, making it difficult to identify patterns and communicate effectively with healthcare providers. Fragmented health data across multiple providers further complicates the process of understanding and managing the disease.
Solution
Ekvi is a mobile application designed to help women with endometriosis holistically track their symptoms, gain personalized insights, and share information with their healthcare providers. The app enables users to monitor their symptoms daily, identify patterns and correlations, and build a comprehensive health profile. By analyzing tracked data, Ekvi provides users with a clearer understanding of their condition, empowering them to advocate for tailored treatment options and make informed lifestyle choices. The platform also prioritizes data privacy, ensuring users retain control over their health information.
Target Audience
The primary users are women with endometriosis seeking to better understand and manage their condition through symptom tracking and personalized insights, as well as healthcare providers treating these patients.
Features
- Daily symptom tracking with a focus on holistic data collection
- Personalized insights that reveal patterns and correlations between tracked symptoms
- Ekvipedia: A library of evidence-based information tailored to individual symptoms and interests
- Secure data storage with user control over health information and the ability to delete data at any time
- Integration of user-tracked data to provide healthcare providers with a comprehensive overview of symptoms