Bolcho AI is an AI voice platform that helps businesses build, deploy and scale multilingual AI phone and web agents. Unlike generic Voice AI platforms, Bolcho is built for India—with native language support, ultra-low latency, telephony integrations, and the flexibility to bring your own LLMs, STT, and TTS providers. From sales and support to appointment booking and customer engagement, launch production-ready voice agents in minutes.
Hey Product Hunt! 👋
I'm Ajay, one of the makers behind Bolcho AI.
We noticed something strange over the past year.
Voice AI has improved dramatically, but most platforms are still built with a Western-first approach. They struggle with Indian languages, regional accents, telephony complexity, and the latency required for natural conversations.
So instead of building another chatbot, we built the infrastructure we wished existed.
Bolcho AI helps businesses launch AI voice and chat agents that work naturally across Indian languages while giving developers the freedom to use their preferred LLMs, speech models, and telephony providers.
Whether you're automating sales, customer support, healthcare, education, or government services, you shouldn't have to rebuild the stack every time.
We'd genuinely love your feedback. Tell us what works, what doesn't, and what you'd build with it.
Thanks for checking us out ❤️
Report
@kumar_ajay4 The "actually speak India" angle is the interesting bit, most voice agents fall apart the second someone code-switches Hindi and English mid-sentence. How does it handle that plus regional accents? We've shelved voice pilots before purely because transcription got the payment numbers wrong.
The bring-your-own STT/TTS/LLM flexibility is what stood out to me, since most voice platforms lock you into one stack. I've been building voice AI for eldercare in the US, and latency plus natural turn-taking were the two hardest things to get right. I'm curious how you handle code-switching mid-sentence, where a caller mixes English and a regional language freely. How does Bolcho detect the language boundary in real time?
Report
latency and code switching are both taken above, so the one nobody has raised: in a support call the hard part is not the sentence, it is the identifier inside it.
order number, phone number, pincode, an email spelled out. a language model cleans up grammar, it cannot repair a misheard digit, and that failure is silent. you read back the wrong order and the call still sounds perfectly fluent.
confidence scores do not help either, because seven and nine are both confident. what helps is validity rather than confidence, checking the captured string against the real list of orders before the agent says anything back. that turns a recognition problem into a lookup, which is a much easier thing to be right about.
genuinely asking on the multilingual side, since you have the data and i do not. do your callers say digits in the same language as the rest of the sentence, or do numbers come out in english inside a regional sentence? if it is the second, the digit is crossing a language boundary in the middle of the one field you least want wrong.
does bolcho let an agent validate a captured field against the business's own data mid call, or is capture whatever the stt returned?
This is actually a really good idea. Just wanted to know whether you are considering dialects as well. Often, I have seen voice agents though they have Indian language support, they misinterpret grammar or dialect
Bolcho AI
@kumar_ajay4 The "actually speak India" angle is the interesting bit, most voice agents fall apart the second someone code-switches Hindi and English mid-sentence. How does it handle that plus regional accents? We've shelved voice pilots before purely because transcription got the payment numbers wrong.
Refocus
The bring-your-own STT/TTS/LLM flexibility is what stood out to me, since most voice platforms lock you into one stack. I've been building voice AI for eldercare in the US, and latency plus natural turn-taking were the two hardest things to get right. I'm curious how you handle code-switching mid-sentence, where a caller mixes English and a regional language freely. How does Bolcho detect the language boundary in real time?
latency and code switching are both taken above, so the one nobody has raised: in a support call the hard part is not the sentence, it is the identifier inside it.
order number, phone number, pincode, an email spelled out. a language model cleans up grammar, it cannot repair a misheard digit, and that failure is silent. you read back the wrong order and the call still sounds perfectly fluent.
confidence scores do not help either, because seven and nine are both confident. what helps is validity rather than confidence, checking the captured string against the real list of orders before the agent says anything back. that turns a recognition problem into a lookup, which is a much easier thing to be right about.
genuinely asking on the multilingual side, since you have the data and i do not. do your callers say digits in the same language as the rest of the sentence, or do numbers come out in english inside a regional sentence? if it is the second, the digit is crossing a language boundary in the middle of the one field you least want wrong.
does bolcho let an agent validate a captured field against the business's own data mid call, or is capture whatever the stt returned?
Kopai
This is actually a really good idea.
Just wanted to know whether you are considering dialects as well. Often, I have seen voice agents though they have Indian language support, they misinterpret grammar or dialect
Does it cover all Indian languages?
Bolcho AI
@himani_sah1 Yes.
Bolcho AI
@himani_sah1 What language are you looking for?
Not locking people into one LLM/telephony stack is smart, that's usually the first thing devs want to swap out once they hit real usage.
Bolcho AI
@irahimiam Yes, and if you keep drilling deeper and solving more engineering layers, you make them almost unstoppable. That's a powerful thing.
Macaly
voice agents that actually speak indic langs is the real unlock 🔥 congrats!