Yudara Kularathne
Tech Leader of the Year
H
HeHealth
hehealth.ai
Website unreachable since Oct 22, 2026
This startup utilizes artificial intelligence and machine learning to provide an AI-powered mobile application for early detection of sexual health issues, achieving approximately 94% accuracy in identifying visual symptoms. By collaborating with public health entities, it enhances access to discreet and affordable sexual health care at the population level.
- Artificial Intelligence
- Applications
- Digital Health
- Healthcare Technology
- Software Only
Updated 7 months ago
Funding
Raised to date
$749.2KRaised 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.
Funding rounds are not available yet.
Founders
Product
Problem
Many individuals face barriers to accessing timely and discreet sexual health care, including the stigma associated with in-person visits, geographical limitations, and the high costs of traditional testing methods. This can lead to delayed diagnosis and treatment of sexually transmitted infections (STIs) and other sexual health issues.
Solution
This startup offers an AI-powered mobile application designed for the early detection of visual symptoms associated with various sexual health conditions. The application allows users to conduct a preliminary self-assessment in the privacy of their own homes, providing instant results and prioritizing discretion. By leveraging artificial intelligence and machine learning, the application aims to improve access to affordable sexual health care and facilitate earlier intervention. The company collaborates with public health organizations to enhance its reach and impact at the population level.
Target Audience
The primary target audience includes individuals seeking discreet, affordable, and accessible sexual health self-assessment tools, as well as public health entities aiming to improve population-level sexual health outcomes.
Features
- AI-powered image analysis for the detection of visual symptoms related to sexual health issues.
- Mobile application providing instant results and prioritizing user privacy.
- High accuracy rate (approximately 94%) in identifying visual symptoms.
- Affordable alternative to traditional in-person sexual health assessments.