Provides a mobile app that uses on-device AI algorithms to analyze photos of skin moles, achieving 95% accuracy in detecting malignant lesions. The app offers free, instant risk assessments, enabling users to identify potential skin cancer early and seek medical attention when necessary.
Funding
$500K 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
Early detection of malignant skin lesions is critical for effective treatment, but traditional methods often rely on infrequent clinical visits and specialist expertise, creating delays and accessibility barriers. Individuals may be unaware of subtle changes in moles or lack convenient tools for regular self-assessment, leading to delayed diagnosis and poorer outcomes.
Solution
Snapmole offers a mobile application that leverages on-device AI algorithms to analyze user-submitted photos of skin moles, providing immediate risk assessments. The application employs state-of-the-art AI, achieving a 95% accuracy rate in detecting potentially malignant lesions. By offering a readily accessible and user-friendly tool for preliminary self-screening, Snapmole empowers individuals to proactively monitor their skin health and seek timely professional evaluation when warranted. The application prioritizes user privacy by performing AI analysis locally on the device and allowing users to delete their data at any time.
Target Audience
Snapmole primarily targets individuals concerned about skin cancer risks, particularly those with numerous moles, a family history of melanoma, or increased sun exposure, seeking a convenient and accessible method for preliminary self-assessment.
Features
- AI-powered analysis of mole images taken with a smartphone camera
- On-device processing ensures privacy and eliminates the need to transmit sensitive data
- Instant risk assessment results displayed within seconds
- Unlimited mole checks available free of charge
- Anonymized image storage for algorithm improvement
- Regular updates with the latest advancements in AI-powered lesion detection