HealthMemory provides an individual‑anchored health intelligence platform that aggregates a person’s complete medical data—sleep, activity, clinical records, and more—into a continuous, encrypted personal health memory. Users can ask plain‑language questions and receive insights that reflect their full health picture, while clinicians access the same comprehensive view to make more informed decisions.
Funding
Funding not disclosed
Founders
Product
Problem
Health data is scattered across multiple apps, devices, and medical records, resulting in fragmented snapshots that clinicians and patients must piece together manually. This fragmentation leads to incomplete insights, redundant data entry, and suboptimal care decisions.
Solution
HealthMemory offers an individual‑anchored health intelligence platform that continuously aggregates a person’s sleep, activity, medical records, and other health data into a single, encrypted profile owned by the user. The AI assistant, Haven, lets users ask plain‑language questions and receives answers that synthesize the entire data set, highlighting only the information that matters. The platform is built on a decentralized consent framework, ensuring that data remains encrypted, user‑controlled, and never centrally stored. Clinicians can access a patient’s living health picture at the point of care, while researchers can query anonymized, consented contributions to improve population‑level insights. As more users join, the collective Health Intelligence Network (Salutome) becomes smarter, enhancing the relevance of each individual’s profile over time.
Target Audience
Primary users are health‑conscious individuals seeking a comprehensive personal health record, and clinicians who need a complete, patient‑controlled view of health data at the point of care.
Features
- Continuous, automated ingestion of sleep, activity, wearable, and electronic medical record data into a unified, encrypted profile
- AI-powered natural‑language assistant (Haven) that provides contextual answers and flags clinically relevant findings
- Decentralized consent and data ownership model that keeps personal health information encrypted and under user control
- Point‑of‑care clinician view that presents the full, up‑to‑date health picture without requiring manual data reconciliation
- Network effect through Salutome, a shared knowledge map that improves individual insights as the community grows
- Compatibility with standard health data formats (FHIR, HL7) for seamless integration with existing health IT systems