Arnav kumar
When I left corporate AI research in 2023, everyone warned me about the friction in Indian healthcare adoption. They weren't wrong. Our initial field tests in rural Karnataka were brutal—poor connectivity, fragmented patient histories, and zero tolerance for slow processing. We realized that cloud-dependent LLMs were useless in primary health centers. That setback forced a pivot: we rebuilt our diagnostic models from scratch to run entirely offline on low-cost edge devices. Today, our engine processes chest X-rays in under four seconds without an active internet connection. Building deep tech…
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