Transforming healthcare with clinically advanced AI to enhance patient outcomes, optimize care delivery, and improve clinical workflows.
Ada was founded to make healthcare accessible to everyone. Combining medical expertise with advanced AI, we empower people worldwide to understand their health and make informed decisions. Discover our story and commitment to a healthier future.
Automated care navigation built on clinical intelligence.
Ada Patient Finder helps patients to understand their symptoms and access timely treatment.
Most popular symptom assessment app
Optimized with human doctors
Medical guidance in your language
Supporting pandemic responses
Most comprehensive condition coverage
There are no shortcuts to becoming a qualified doctor, and there are no shortcuts to developing an AI that raises the bar for clinical accuracy, user accessibility, and industry regulation.
Ewelina Türk
SVP Medical Product
Dr. Shubhanan Upadhyay
Director of Medical Quality
Dr. Chi-Yu Liu
Medical Quality Specialist
Dr. Adel Baluch
Director of Medical Affairs
Alicia Mehl
Medical Product Lead, Data
Dr. Claire Novorol
Co-founder & Chief Medical Officer
Dr. Kristen Gray
Medical Product Lead, Medical Platform
Dr. Michal Stebnicki
Senior Medical Knowledge Engineer
Gilbert, S. et al. (2020). How accurate are digital symptom assessment apps for suggesting conditions and urgency advice? A clinical vignettes comparison to GPs. BMJ Open.
Miller, S. et al (2020). Patients’ Utilization and Perception of an Artificial Intelligence–Based Symptom Assessment and Advice Technology in a British Primary Care Waiting Room. JMIR Human Factors.
Morse, K. et al (2020). Use Characteristics and Triage Acuity of a Digital Symptom Checker in a Large Integrated Health System: Population-Based Descriptive Study. J Med Internet Research.
Active post-market surveillance research with Ada clients (2023). AI-based Symptom Assessment as the Digital Front Door to Care and to Enhanced Physician/Patient Interaction: Real-World Evidence from Portugal and the Netherlands.
Scheder-Bieschin, J. et al (2022). Improving emergency department patient-doctor conversation through an artificial intelligence symptom taking tool: an action-oriented design pilot study. JMIR Formative Research.
