About AarogyaAI®

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

Growing up in a family of doctors, Praapti was driven to tackle public health issues using her scientific training. Her doctoral research in tuberculosis revealed the complexities of drug resistance as not only a public health crisis but also one with socioeconomic and mental health implications. This learning drove the desire to build a systematic approach towards applying deep tech solutions to solve public health challenges.

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.

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. Being a young healthtech start-up, AarogyaAI® has leveraged the insights of peers, mentors, and experts to establish a supportive community and navigate the intricacies of entrepreneurship, biotech innovation, and staying up-to-date with scientific trends.

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


Avlokita Tiwari

Co-founder & CTO

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.


Praapti Jayaswal

Co-founder & CEO

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.


Neema Jayadas

Head Operations

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.


Harshida Gadhavi

Associate Scientist

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.


Aniruddh Sharma

Data Scientist and Product Lead

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.


Senjuti Banerjee

Senior Scientist

Senjuti is a Senior Scientist in the R&D department at Aarogya AI. She is a postdoctoral alumnus of the University of Notre Dame, USA and a doctoral alumnus of St.Xavier's College Kolkata. She has a background in biochemistry, molecular biology and microbiology. Prior to AarogyaAI®, she was involved in research projects exploring context dependent outcomes of ribosome-unfolded protein interactions as well as interdisciplinary research exploring the protein folding process.


Antra Mittal

Bioinformatics Lead

Antra, Bioinformatics Lead at AarogyaAI, brings strong technical skills and practical experience in computational biology and NGS data collection, processing, and analysis. She has an MSc in Biotechnology with a focus on big data biology and develops the bioinformatics pipeline for various infectious diseases.


Sagar Gupta


Sagar, at AarogyaAI®, is responsible for web development, deployment and architecture. An electrical engineer, prior to AarogyaAI®, he was an associate system engineer at Tata Consultancy Services where he worked highly on SAP HCM, HANA and databases.



Data Scientist

Surya, a Data Scientist at AarogyaAI®, pre´processes data, builds machine learning models and tests pipelines. Formerly at Tata Consultancy Services he worked on an IBM Tool. Surya is a Mechanical Engineer by training.

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