Revolutionizing Respiratory

Simplified Assessments

Remote assessment of critical data like symptoms, temperature, oxygen saturation using a smartphone.

Cough Analysis

Audiometric analysis of cough sounds with critical data from assessments to monitor and assess lung health.

Instant Results

Audiometric analysis of cough sounds with critical data from assessments to monitor and assess lung health.



Swaasa is driven by patented AI technology that assesses respiratory health through audiometric analysis of cough sounds in conjunction with critical data from an individual’s temperature, oxygen saturation, existing medical history, past activity, and other symptoms.
This AI is an ensemble of advanced machine learning models working together to generate instant insights about respiratory health, indicative patterns, and severity of the condition if any.

Salcit is recognised for its impact on community health and awarded a grant by Department of Biotechnology, Government of India


Be the leader in providing digital health solutions for respiratory diseases


At the heart of the solution is a patented ML model that allows us to bring the functionality of spirometry unbounded by time, space, specialized equipment and trained professionals. This core ability allows the solution to be rapidly deployed at scale to screen and surveil.


Trusted By the Best In The Industry

Screening for chronic respiratory diseases is an unmet need as due to limited human expertise and lab facilities, it is not possible to do pulmonary function tests at primary care level centres. Any technology / tool which can facilitate screening and identify whether the problem is attributed to airway or lung parenchyma/pleura will be a highly useful value proposition for the appropriate next intervention. Swaasa tool developed by Salcit Technologies addresses this need, the timing is right to validate and introduce such technologies in the country.
Dr. Anand Krishnan, MD, PhD.

Professor, Centre for Community Medicine - All India Institute of Medical Sciences
As a case-study by Salcit on application of machine learning and AI on continuous monitoring of respiratory sounds helps in getting to know the lung condition. For instance, Sound records on lung collapse will be useful information (ahead of X-ray), especially when the intensities are very low or sounds are absent. Temporal analysis on change in sound pattern helps in managing the disease condition. Similarly, exceptional cases are likely to be very meaningful such as silence and ILD pattern for early detection.

Dr. Sai Praveen Haranath

Pulmonologist - Apollo Hospitals

Meet Our Committed Partners

Our Awards & Recognitions

Finalist at the 11thAegis Graham Bell Award 2020 in the Category of COMBAT COVID-19 WITH ARTIFICIAL INTELLIGENCE

Salcit Technologies Private Limited Received the Top Innovator award at the Innovation Arena in the PHIC(Public Health Innovations Conclave) 2021 at HITEX Exhibition Center.

Selected by BIRAC for the product launch by honourable Prime Minister Narendra Modi as part of “75 Products during 75th Year of Independence” inaugural event.

Recognized for its impact on Community Health and awarded a grant by Department of Biotechnology, Government of India.

Amongst the top 3 finalists of Anjani Mashelkar Inclusive Innovation Award 2020.

Semifinalists in MIT Solve’s 2022 Global Challenge.

Featured as top 20 Digital Health Startups in India,2019.

Transforming Healthcare with IT organized by Apollo Hospitals.

Winning silver medal @ International Innovation Fair.

7th ITU/WHO workshop on "Artificial Intelligence for Health” @ ICMR, Delhi, India.

Learn more about our product - Swaasa