Aasha AI
Aasha means hope.
We believe every cancer patient in India — in every city and every language — deserves to know about a clinical trial that could save their life.
The Problem
India has over 94,000 cancer clinical trials recruiting right now. Most offer free treatment. Many are recruiting in tier 2 and tier 3 cities.
Yet 1 in 3 patients who qualify for a trial never find it — because the information is buried in a government database, written in English, filled with medical jargon impossible to navigate without a specialist.
A family in Belgaum searching for their mother's lung cancer trial should not need to understand clinical protocol language. They should just be able to ask.
94,141
Trials recruiting in India
60%
Offer free treatment
1 in 3
Patients never find a match
<30s
To find your best match
How It Works
Tell us your profile
Enter your cancer type, stage, city and age — or speak it in Hindi, Kannada or English using the microphone.
AI matches every trial
Our Claude-powered AI screens all recruiting trials in India and scores each one against your exact profile — stage, age, prior treatments, and location.
Get results instantly
See ranked matches with plain-language explanations, contact details, and next steps — in your language.
Take action
Generate a doctor referral letter, track your progress, compare trials side by side, or share results on WhatsApp — all from one screen.
Built with Care
Aasha AI is powered by Claude by Anthropic— one of the world's most capable and safety-focused AI models — to score and explain trials in plain, compassionate language.
Trial data is sourced in real time from ClinicalTrials.gov, the official US National Library of Medicine database — the gold standard for global trial registration.
Important Disclaimer
Aasha AI is an informational tool only. It is not a substitute for medical advice. All trial matches must be verified with the trial coordinator and your oncologist before any treatment decisions are made. Eligibility criteria are complex — always confirm with the clinical team.