[Webinar] Field Notes: Voice AI in India

​🇮🇳 The market, the opportunity, and building agents that work across every Indian language

​No one should have to build voice AI in India from scratch.

​Enough teams are building here now that the same hard problems are getting solved over and over, independently, in parallel. This session is our attempt to pool what we've collectively figured out.

​After multiple years of partnering with some of the sharpest voice AI builders in India, we thought it'd be a miss not to collate what we've learned and share it openly: the best practices, the optimizations, and the approaches that move the needle on output quality.

​India is the biggest opportunity in voice AI, and at the same time one of the hardest places to get it right. Background noise, code-switching mid-sentence, dozens of languages and accents, tier 2/3/4 realities that no benchmark prepares you for. Voice is how this country already communicates. It's the interface every company here should be building on next.

​Here's what we'll get into:

​Learnings and themes Where voice AI actually stands in India right now. Which sectors are buying, which are still stuck in pilot, and what the real opportunity looks like

​Solutions, near term and long term The problems we hear again and again, especially around language switching and Indic speech, and how teams have actually fixed them

​The Future of Voice We'll preview what we're building on with multilingual ASR, and how we think speech-to-speech will become production ready

​Evals How our team measures voice quality in a country this diverse, why most eval setups mislead you, and what we'd do differently if we were starting today

​Q&A Bring your hardest questions. This is the part where you save yourself six months of rediscovering things the hard way

​Voice is how India runs. Let's build on it together. 🚀