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Power of


AarogyaAI enables clinicians to make data driven decisions towards increased positive treatment outcomes.

Our Journey

Our mission is to save lives by combining the benefits of genomics with artificial intelligence to provide a precision diagnosis for Antimicrobial Resistance.
Tuberculosis claims more lives every year than AIDS. This is because, of the 19 anti-TB drugs available, doctors don't always know which ones will work for whom.
Thus, even though tuberculosis is curable, a delayed diagnosis of drug-resistant tuberculosis can mean patients are on ineffective medication for up to 7 years. Currently, there are no tools to diagnose drug-resistant tuberculosis quickly and comprehensively. AarogyaAI aims to diagnose drug-resistant tuberculosis in a few hours so that a patient can be prescribed effective treatment, instantly.

Our People


Praapti Jayaswal

Dr. Praapti Jayaswal (Co-Founder & CEO), is a PhD in tuberculosis research from the Translational Health Science and Technology Institute (THSTI), in New Delhi. Her expertise is in microbiology and understanding the biology of the disease.


Avlokita Tiwari

Avlokita Tiwari (Co-Founder & CTO), has an MS in Bioinformatics from the University of Turku, Finland. Her expertise lies in computational biology and genomic data. She is the bridge between biology and Artificial Intelligence/Machine Learning.


Smita Hingane

Dr. Smita Hingane (R&D Lead), has a PhD in infectious disease virology from THSTI, India. Her expertise lies in infectious diseases. With years of experience in molecular and microbiology, she is leading the in-house R&D for scaling AarogyaAI’s novel diagnostic technologies.


Aniruddh Sharma

Aniruddh Sharma is a Data Scientist working on processing, training and deploying the machine learning pipeline for tuberculosis and other infectious diseases at AarogyaAI. He has experience in ML projects. During his time off he volunteers for Open-source medical technologies designed to automate the medical industry.


Rahul Angane

Rahul has a Master’s degree in Bioinformatics and is skilled in research, python, data analysis and genetics. At AarogyaAI Rahul focuses on applying bioinformatics to drive innovations in diagnosis by developing methods for leveraging genomic data to study infectious diseases.


Mukta Sharma

Dr. Mukta Sharma (Associate Scientist) is a PhD in Bioinformatics with three years of postdoctoral experience in molecular modeling. Her expertise lies in the area of in-silico drug designing. At AarogyaAI, she will be applying a wide range of modeling approaches to identify new chemical entities in Tb drug discovery.


Alice Osmaston

Alice Osmaston is a research and development intern at AarogyaAI. She is supporting the R&D by collecting data and reviewing the latest literature for product development. She also supports business development by creating resources for pitches and proposals. She has a Master’s degree (MSc) in Infectious Disease Epidemiology.


Sagar Gupta

Sagar Gupta is a FullStack Develper at AarogyaAI. He is also responsible for connecting our models to Frontend. He has experience in FullStack Development. He also supports dprocessing, training and deploying the machine learning pipeline for tuberculosis and other infectious diseases at AarogyaAI.

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