AriHum

Arihum is a conversational AI companion that reads uploaded lab reports, indexes every value, and answers health questions in the context of your full personal profile — conditions, medications, and prior test history all in scope. The core workflow is three steps: import a document (PDF, image, or typed text), ask a question in plain English, and receive a response tied to your specific data rather than a population average. The demo on the vendor page shows an interaction where a hemoglobin result of 11.8 g/dL is flagged as below range, cross-referenced against MCV to suggest mild iron-deficiency anemia, and then connected to a follow-up question about whether current medications affect iron absorption — all in one thread.

The differentiating feature is persistent health memory. Most general-purpose AI chat tools treat every session as a blank slate, so you rebuild context every time. Arihum’s stated design keeps your full history and medication list in context across conversations, so a question about a new thyroid panel can reference a CBC result from the previous month without you re-uploading or re-explaining.

The tool fits a specific, real gap: individuals managing chronic conditions who need health literacy support between appointments — not clinical guidance during a medical event. Users who want to understand what 18 CBC markers mean relative to their own baselines, or whether a flagged value warrants a call to their doctor, are the intended audience. The vendor is explicit that Arihum is not a substitute for professional medical advice. Teams or developers looking for an API, a self-hosted deployment, or integration into a clinical workflow will find none of those options described on the vendor page. The Android app is live; iOS access requires joining a waitlist.