Segmenting and classifying tuberculosis, pneumonia and COVID-19 in chest X-rays
A deep learning pipeline that first isolates the lungs in a chest X-ray, then classifies the image as normal, tuberculosis, pneumonia or COVID-19.
Case studies & projects
Our research projects and solution blueprints across technologies, industries and products.
Technology
Research projects are based on peer-reviewed papers and patents by our founding team. Solution blueprints describe how we deliver a type of project; they are not specific client engagements.
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AI frameworks for cardiovascular and stroke risk in patients with comorbidities
A body of research on how AI can estimate cardiovascular and stroke risk in people with diabetes, Parkinson’s disease, rheumatoid arthritis, sleep apnoea and COVID-19.
Where AI saves money in healthcare: diagnosis versus treatment
An analysis of the economics of artificial intelligence across the healthcare pathway, recognised with MDPI Healthcare’s 2022 best paper award.
Machine learning and IoT for solar plant control and fault detection
A patented approach that combines IoT sensing with machine learning to control a solar plant, detect faults early and predict energy output.
Crop disease detection and advisory for a farmer producer organisation
Farmers photograph an affected plant; the app identifies the likely disease and gives treatment advice in Marathi, Hindi or English, while the FPO sees outbreaks on a map.
Farm digital twin for yield forecasting and irrigation planning
A field-level digital twin built from satellite imagery, weather and soil data that forecasts yield and recommends when and how much to irrigate.
Health insurance claims: document extraction and fraud signals
Automated reading of hospital bills, discharge summaries and prescriptions, with checks against policy terms and explained fraud signals for investigators.
Credit risk scoring and early-warning signals for an NBFC
Machine-learning credit scores with clear reason codes, plus an early-warning model that flags accounts likely to fall behind on payments.
Grievance classification, prioritisation and routing
Machine learning that reads incoming citizen grievances, assigns category and urgency, and routes each one to the right office, with dashboards for senior officers.
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