Who We Are

AarogyaAI aims to diagnose drug-resistant tuberculosis (DR-TB) using artificial intelligence in a few hours. We enable quick and accurate diagnosis of DR-TB so that the patient can be rightly prescribed effective drug combinations for treatment, instantly.

AarogyaAI founders
Praapti Jayaswal and Avlokita Tiwari, Co-Founders of AarogyaAI

Our co-founders, Praapti and Avlokita, are motivated by their life experiences to develop a solution for the growing challenges of DR-TB. Praapti, grew up in a family of doctors and was motivated to address public health issues using her scientific training in infectious diseases. Avlokita, lost her grandmother to tuberculosis and wanted to be a part of the solution working towards eliminating this disease.

In India today, Tuberculosis affects 2.7 million people each year, and thousands of people die because of it. However, there is a disproportionate focus on solving micro problems in research which, do not translate into public application. Our aim is to bridge that gap.

We are greatly inspired by Dr. Soumya Swaminathan, Chief Scientist at WHO and a tuberculosis physician. Dr.Swaminathan took a keen interest in our objectives and, is our mentor on this journey.

What We Do

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. We use a DNA sequence from the patient which is uploaded to our SaaS. Our machine learning algorithm then gives an output report of a comprehensive drug susceptibility status of the patient.

In the long run, we will be able to predict the patterns of evolution of the bacteria and future drug resistance patterns. Our data analytics dashboard will provide valuable insight into bacterial phylogeny, its geographical influences amongst other statistics. This would greatly benefit public health programs in strategically placing PHCs as well as pharma companies to improve supply chain logistics and drug development.



SG Demo Day Praapti1b

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.



Avi-EF office

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 the biology and the Artificial Intelligence/Machine Learning.

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We’ve been in the news a few times and are excited to share it with you.

Winer AwardIn March 2020, AarogyaAI won the BIRAC TiE WInER Award. The award is given to Women in Entrepreneurial Research by the Biotechnology Industry Research Assistance Council (BIRAC). BIRAC was set up by Department of Biotechnology (DBT), Government of India with a vision to foster and enhance research and innovation capabilities of the Indian biotech industry. Here’s a link to the Award

Biz outlook

AarogyaAI is backed by the UK-based Entrepreneur First. They have partnered with leading hospitals and diagnostic labs in the country.   Read the Article

SG5 DemoDay Female Founders1


Deep-tech investor Entrepreneur First (EF) completed its fifth Investor Day in Singapore that saw participation from 24 deep-tech companies from around Asia. It is EF’s largest cohort of startups so far. Read the Article


What We Do Cover

Pitching for AarogyaAI was Praapti Jayaswal, who did her PhD in tuberculosis research and her co-founder, Avlokita Tiwari, a computational biologist, with an MS in Bioinformatics.  Read the Article

Entrepreneur-First-Asia-5-Investor-DayPhD-holder Praapti Jayasawal and Computational Biologist Avlokita Tiwari have built an Artificial Intelligence (AI) enabled SaaS (Software as a Service) that diagnoses drug-resistant tuberculosis (DR-TB) and enable effective treatment, instantly. This is unlike the existing drug-resistant tuberculosis diagnostics, which takes four to six weeks. Read the Article

Shakti-best pitch award

In March 2020, the team at AarogyaAI was awarded the Best Pitch by the  Shakti, The Empathy Project. This is India’s first program for women social entrepreneurs working towards finding solutions to social problems in India. The program’s core focus is on providing capacity building, mentorship, funding and networking opportunities for the entrepreneur.