India’s public systems operate at a massive scale, which includes multiple languages, varied infrastructure, and diverse local realities. Data is often contextualised for local needs, and connectivity is a “work in progress.”
Frontline workers in health, teachers in public schools, and farmers across the country carry heavy workloads and operate far removed from the controlled environments for which most AI systems are designed. Without grounding in these realities, lab-built AI rarely achieves sustainable success, lacking alignment with the…
