India's language AI stack matures: Sarvam and open models close the gap
Public and private Indian speech and translation models are now production-viable across 20+ languages, making multilingual citizen services an engineering problem rather than a research one.
Three years ago, a voice interface in Bhojpuri or Kannada meant accepting error rates that made it unusable. Today, a combination of public infrastructure and startup models makes multilingual voice a routing decision.
Why it matters
Government services, kiosks and helplines can now be designed language-first. The constraint is integration quality, not model quality.
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