About AarogyaAI®

Co-founders, Praapti and Avlokita, were motivated by their life experiences to develop solutions for the growing challenges of antimicrobial resistance (AMR).

Praapti grew up in a family of doctors and was motivated to address public health issues using her scientific training in infectious diseases.

Avlokita was inspired by her colleagues' passion for research in infectious diseases. Collaborations with them drove her interest in anti-microbial resistance and real-world solutions rooted in technology.

In India, AMR is a growing public health concern. Microorganisms are changing, rendering them ineffective to traditional antimicrobials and transforming into ‘superbugs’. The focus, therefore, is on solving micro problems in research which do not translate into public application.

AarogyaAI’s aim is to bridge that gap. As a young start-up in the healthtech space the organisation has drawn on the experiences of peers and relied on a growing community of entrepreneurs to navigate complexities in compliances, IP laws and taxes for startups in India. Along the way sharing a mission oriented vision and creating a diverse team.

What We Do

AarogyaAI®’s vision is to make precision diagnosis for antimicrobial resistance accessible at the point of care by harnessing the powers of genomics and artificial intelligence. The aim is to reduce the incidence and spread of antimicrobial-resistant infections and stay one step ahead of the bugs! AI helps unearth future drug resistance patterns to preemptively plan actions and combat the next pandemic.

Starting out in 2019, the focus was on effective diagnosis of Drug-Resistant Tuberculosis (DR-TB). India bears a third of the world’s TB burden, a disease exacerbated by the emergence of drug resistance. Current capital and time-intensive diagnostic infrastructure are unable to address this challenge.

Identifying this need for a more comprehensive and rapid drug susceptibility test (DST), a diagnostic pipeline backed by next-generation sequencing and Artificial Intelligence (AI) was developed.

The pipeline generates a patient-specific drug susceptibility report for all the available anti-TB agents within 24-48 hours. To make a more robust algorithm a comprehensive database of TB samples was built. This in turn enables our AI to track and predict emerging drug resistance.

This multi-dimensional approach is the heart of AarogyaAI®’s work. Without effective tools, for the prevention and treatment of drug-resistant infections, the number of people undergoing failed treatment or dying from infections will only increase.

Our Team


Co-founder & CTO

Avlokita Tiwari

Avlokita 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 and machine learning.


Co-founder & CEO

Praapti Jayaswal

Praapti has a PhD in tuberculosis research from the Translational Health Science and Technology Institute (THSTI), Faridabad. Her expertise lies in microbiology and understanding the biology of the disease.


R&D Lead

Smita Hingane

Smita has a PhD in infectious disease virology from the Translational Health Science and Technology Institute (THSTI), Faridabad. Her expertise lies in infectious diseases and microbiology. She leads research and development to scale AarogyaAI®’s novel diagnostic technologies.


R&D Manager

Varsha Sharma

Varsha has a PhD in Biomedical Engineering with expertise in anisotropic nanoparticles and polymer based drug delivery systems. Varsha was a CSIR fellow and a Product manager for 2 years in a leading life sciences company. At AarogyaAI®, she works on R&D and manages partnerships.


Data Scientist and Product Lead

Aniruddh Sharma

Aniruddh, a graduate in mechanical engineering, develops, trains and deploys the machine learning pipeline for infectious diseases while also leading the product development and management actions. He previously worked with robotics, deep learning and computer vision.


Full-Stack Developer

Sagar Gupta

Sagar, at AarogyaAI®, is responsible for pipelines deployment and web development. Prior to AarogyaAI®, he was an associate system engineer at TCS where he worked highly on databases and python projects.


Head Operations

Neema Jayadas

Neema heads the Operations team at AarogyaAI® where she oversees both functions and expansion. A biotechnology engineer with over a decades experience in the healthtech industry. She previously led Client Success and Operations at Qure.ai.


Associate Scientist

Ambily Nath

Ambily is responsible for leading and managing the research activities of the structural bioinformatics group. Prior to AarogyaAI®, she was a postdoctoral fellow at the Institute of Bioinformatics and Applied Biotechnology and University of Kerala. She designed and handled cheminformatics, systems biology, and NGS projects in this period.


Associate Scientist

Harshida Gadhavi

Harshida assists the bioinformatics team in developing pipelines. Prior to Aarogya AI, she was a bioinformatician and led several projects during her PhD in collaboration with various research institutes. She specialises in genomics, specifically Whole Genome Sequencing and metagenomic data analysis.


R&D Associate

Kamal Shrivastava

Kamal has a PhD in Medical Microbiology working primarily in Mycobacteriology to investigate various drug resistance mechanisms in Mycobacterium tuberculosis and identification of drug and vaccine candidates. He oversees R&D for TB and other infectious agent pipelines,as well as wet-lab research at AarogyaAI®.


Bioinfomatics Analyst


Palanikumar is a bioinformatics analyst. Prior to AarogyaAI® he worked as bioinformatics associate in Clevergene, India. He has a total of 1.5 years experience in bioinformatics and 1.5 years in molecular biology and biotechnology. He got his masters degree in Genomics from Madurai Kamaraj University, India.


Communications Lead

Nidhi Misra

Nidhi leads communications at AarogyaAI®. Specialising in research communication she develops content, strategies and design for varied stakeholders. A graduate of the Asian College of Journalism she has worked in mainstream newspapers, development research organisations and international research groups.

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