Quick Summary
We built Aether to restore continuity in healthcare. Patients can upload records from any source. Providers can use an EHR-Lite workflow. Under the hood, Aether builds a time-ordered health graph that helps surface trends, changes, and early risk signals.
Why we built this
Healthcare is a longitudinal story, but the system behaves like a sequence of disconnected episodes. One visit. One PDF. One portal. Then the next clinician starts from scratch.
In India, this is amplified by fragmentation. Data is scattered across diagnostic labs, hospitals, clinics, and paper records. Patients are forced to become record managers. Doctors rarely see trends across time, even when those trends are clinically obvious in hindsight.
What Aether does
Aether is a PHR + EHR-Lite platform that builds a longitudinal view of health for every individual.
- PHR: Upload lab reports, prescriptions, scans, and documents from any source. Add health events over time.
- EHR-Lite: A lightweight provider workflow for clinics and hospitals that want continuity without heavy implementation overhead.
- Sharing: Share your timeline with doctors, caregivers, and family, with access you can revoke.
We already support a growing network, including over 25,000 patients, and we recently onboarded 3 hospitals as clients.
The core idea: a health graph, not a folder
A folder stores documents. A health graph connects facts across time: labs, medications, diagnoses, imaging, symptoms, and clinical notes. That structure is what makes longitudinal reasoning possible.
Aether uses AI to help convert real-world inputs (PDFs, images, scans, prescriptions) into structured signals and then aligns them into a living timeline. The goal is not to replace clinicians. The goal is to make history usable.
Built for interoperability
We standardize data toward FHIR so it can move safely between systems and so providers can adopt Aether without locking themselves into proprietary formats.
If you are a hospital or lab, the long game is clear: continuity, portability, and auditability will matter as much as capture.
Where this goes next
A longitudinal health graph is not just a better patient experience. It is a discovery substrate. When timelines are structured, you can study disease progression, treatment response, and risk trajectories across populations, while preserving privacy and governance.
That is the bigger vision: earlier signals for individuals, and better learning loops for medicine.
We are live on Product Hunt
If continuity in healthcare matters to you, we would love your support and feedback. An upvote or comment on Product Hunt helps a lot, and feedback helps even more.
Information only. Not medical advice.