Huna
Huna is a deeptech company that applies artificial intelligence to routine blood tests and existing healthcare data to enable earlier detection of high-impact cancers. The platform offers an end-to-end suite including Smart Screening, a Cancer Navigator, and a Digital Concierge, helping providers identify and prioritize high-risk patients without requiring process changes. Its AI models have been validated in peer-reviewed clinical research published in journals such as Nature.
- Healthcare Technology
- Digital Health
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Cancers with the greatest health impact are often detected too late, reducing survival chances and increasing treatment costs. Traditional screening processes can be inefficient, failing to identify and prioritize high-risk patients promptly.
Solution
Huna uses artificial intelligence to transform an institution's existing data—including blood tests, medical reports, and transactional data—into solutions that detect high-impact cancers faster and more efficiently. The platform provides an end-to-end suite combining Smart Screening to identify high-risk patients, a Cancer Navigator for managers and care teams to integrate macro and individual views, and a Digital Concierge to engage patients and ensure timely diagnosis. By leveraging data already held by providers, Huna aims to enable earlier detection without requiring process changes.
Target Audience
Primary customers are healthcare providers, including hospitals and clinics, and laboratories. Healthcare providers use the platform for more accurate risk identification and optimized cancer screening, while labs can reuse existing data to create new digital assets and revenue streams.
Features
- Smart Screening module that identifies and prioritizes high-risk patients using an institution's own data
- Cancer Navigator platform providing both macro-level overviews and individual care tracking for managers and care teams
- Digital Concierge functionality to engage patients and minimize time-to-diagnosis
- AI models applied to routine blood tests, including the complete blood count, with peer-reviewed clinical research published in journals such as Nature
- Integration of multiple data sources including blood tests, medical reports, and transactional data