PwC India helps organizations apply artificial intelligence to solve large-scale societal challenges across healthcare, agriculture, energy, education, and manufacturing. The firm develops practical AI tools—such as a smartphone-based cataract screening app that detects the condition with over 95% accuracy—and provides a five-step framework called the AI Edge to scale proven pilots into national systems. Its work focuses on making advanced technology accessible and affordable for underserved communities.
Funding
Funding not disclosed
Founders
Product
Problem
India faces significant gaps in essential services across healthcare, agriculture, energy, education, and manufacturing, with limited infrastructure and specialist shortages preventing timely access. For example, cataracts are the leading cause of treatable blindness in India, affecting about 4.8 million people annually, yet the country has an ophthalmologist-to-population ratio of just 1:100,000 and many elderly individuals cannot travel to screening centers.
Solution
PwC India provides an AI-powered framework called the AI Edge that transforms proven technology pilots into scalable systems with national impact. The firm develops practical solutions such as a smartphone-based cataract screening application that analyzes eye images captured on a phone camera to detect cataracts with over 95% sensitivity and specificity, matching the accuracy of trained ophthalmologists. This near-zero-cost tool enables health volunteers to conduct door-to-door screening of elderly individuals in remote areas, boosting screening capacity by up to 100 times. PwC India also applies AI across other sectors, including agriculture yield optimization, energy metering recovery, healthcare disease detection, and manufacturing production efficiency.
Target Audience
Primary users are healthcare organizations, government agencies, NGOs, and community health volunteers seeking affordable, scalable AI solutions for public health challenges, particularly in underserved and remote areas of India.
Features
- AI-powered cataract detection app that screens eye images from smartphone cameras with >95% sensitivity and specificity, equivalent to trained ophthalmologist accuracy
- Door-to-door screening capability that eliminates travel requirements for elderly patients and enables coverage of remote areas through local health volunteers
- Near-zero-cost solution designed for accessibility, requiring only a smartphone and basic training for volunteers
- AI Edge framework that provides a five-step methodology for scaling pilots into national systems across agriculture, energy, healthcare, education, and manufacturing
- Rigorous testing and validation process involving interdisciplinary collaboration between medical professionals, engineers, and researchers
- Integration with existing smartphone applications for seamless deployment and use by community health workers