Three apps, one clinical engine. Doctors write prescriptions in India. Parents track their medications. NRI children in the US stay quietly informed, and get alerted when something needs attention.
The same clinical engine, drug database, interaction logic, and prescription pipeline powers each app. Every surface talks to the others.
Reads handwritten prescriptions, normalizes brand names to generics, and flags drug interactions across all of a patient's doctors.
Learn moreAI-assisted clinical documentation for the consultation room. Writes structured prescriptions that flow directly into the patient's Ruby Rx, eliminating handwritten scripts.
Learn moreEvery prescription, interaction alert, and refill for your parents in India, in one view from anywhere in the world. Now in closed beta.
Open nowRuby Care is a caregiver portal for the US-based son or daughter who cannot be there in person. Real-time prescription tracking, drug interaction alerts across multiple doctors, and refill reminders, all in one quiet, organized view.
Open Ruby Care →Older adults in India often see several doctors, and no single doctor sees the whole picture. That gap is where most preventable harm happens. The Ruby engine was built to watch that gap.
Every prescription, from every doctor, read and understood as one record rather than a drawer of paper slips.
Risky combinations across specialists, side effects that get mistaken for new illness, and changes that quietly raise the risk of falls or confusion.
A doctor sees it in the consultation. A family member abroad hears about it while there is still time to act.
Three doctors who have never met. One engine that has met them all.
Clinical depth, informatics leadership, and senior advisory, in the same founding team.
Physician and clinical informatician focused on making AI work at the point of care, not just in a demo. Led informatics and data science within a $950M federal HIV prevention portfolio, and is Managing Partner at Anuvansh, designing FHIR-native architectures and operationalizing clinical AI. Published across JAMA, JAMIA, JMIR, and AIDS.
Owns all drug-interaction logic, safety guardrails, and alert rules across the platform, the clinical depth that every competitor in this space lacks. PhD in Health Sciences with a specialization in Health Leadership from Rutgers University, and an MPH in Epidemiology from Emory University.
A widely respected leader in health technology and data science. IIT Kanpur, with an MS and PhD from UC Berkeley. Former Chief Scientist at the Qatar Computing Research Institute, data mining architect at Amazon, and CTO at Persistent Systems. Over 100 invited talks across more than 35 countries. Advises on platform direction, architecture, and long-term positioning for Ruby Rx and Ruby AI.
Free during beta. No credit card. Takes three minutes to set up.