Founders often ask me why we didn't just build an English-first Health AI and then add translation layers. The answer lies in phrases like "haldi doodh roz peeyein kya" (should I drink turmeric milk daily?) - a question no English-first model, however advanced, can truly grasp in its cultural and medical context, let alone cross-verify with allopathic medicine. This fundamental misunderstanding isn't a bug; it's a feature of Health AI built for a billion people who don't think in English. And it creates an unfollowable moat. The Language of Wellness is Not English Most Health AI doesn't speak the language a billion people think in. We do. While Silicon Valley's Health AI struggles to parse even basic colloquial symptoms like "pet mein gas ho rahi hai" (Hindi for "stomach gas"), the problem deepens when families seek advice on traditional remedies. These queries are deeply embedded in culture and language. An English-first system, even with a sophisticated translation API, fundamentally misses the nuance.…