Sunil Maurya

Sunil Maurya

Founder @ Unio - The Voice AI Community

LinkedIn creator · India · 3.9K followers

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About Sunil Maurya

Building Unio, India’s largest Voice AI builder community (18K+) | Connecting 10K+ CXOs across Insurance, FinTech & US Credit Unions

A few years ago, I was delivering packages for Flipkart, Amazon and Zepto. Today, I run Unio, India's largest Voice AI builder community, with 18K+ founders, AI engineers and product teams. I don't come from a technical background. I entered Voice AI as an unpaid intern at an early-stage startup building voice agents for BFSI and US credit unions, and later led its marketing. That's where I saw a major gap: Voice AI builders were solving hard problems in isolation. Founders struggled with GTM. Engineers hit the same technical walls. Product teams experimented without real benchmarks. So I started asking questions on Reddit and LinkedIn. Those conversations became Unio. What Unio does today: → Invite-only WhatsApp group with 2,500+ active builders → r/VoiceAutomationAI with 10,000+ members, plus Discord and YouTube → Voiceroom and offline meetups across Bengaluru, Mumbai and etc. → Live Q&As with founders and CTOs, Reddit Founder AMAs, and Unio Talks, our founder spotlight podcast → Webinars, workshops, hackathons and a Voice AI talent referral network Beyond builders, I also bring together the leaders who buy and deploy AI. I run InsurTech Club, FinTech AI Community and CUCircle (US credit unions), connecting 10K+ CXOs and senior leaders. Building Unio changed me too. I used to be an introvert. Now I spend my days walking up to strangers and bringing the right people into the same room. My vision: build the world's largest ecosystem for Voice AI builders, and connect them with the enterprises that need them. Let's connect if you're: → Building Voice AI agents → A founder who'd like to feature on Unio Talks or a Reddit AMA → A brand looking to reach Voice AI builders or BFSI leaders Let's build the Voice AI ecosystem together.

B2BAISaaS

My LinkedIn audience

Followers
3,897
Est. median reach
9.1K
Engagement
3.4%

My most engaged audience

61% Engineering / Data

From 104 people who reacted to or commented on my posts

Public LinkedIn data · Sep 28, 2026

  • Top 12 STT & TTS models every Voice AI founder should bookmark 👇 These cover everything from real time transcription to Indic voice synthesis, ranked by actual Hugging Face downloads, not GitHub stars. Downloads mean people are running these in production, not just bookmarking a repo. If you're building Voice AI, this list will save you months of vendor evaluation: 1/ openai/whisper-large-v2 (⬇️ 44.1M/mo) https://lnkd.in/dngyZegr The multilingual ASR model most STT vendors still quietly run in production. 2/ hexgrad/Kokoro-82M (⬇️ 14.1M/mo) https://lnkd.in/dEMtVzw7 An 82M param TTS model punching way above its size, Apache licensed. 3/ openai/whisper-large-v3-turbo (⬇️ 11.3M/mo) https://lnkd.in/dVUY3p7h Same Whisper accuracy, pruned decoder layers for much faster inference. 4/ distil-whisper/distil-large-v3 (⬇️ 7.66M/mo) https://lnkd.in/dTz-dQcX A distilled Whisper that's 6x faster with minimal accuracy loss. 5/ openai/whisper-large-v3 (⬇️ 4.60M/mo) https://lnkd.in/dFgiwWSb OpenAI's flagship multilingual ASR checkpoint, still the reference model. 6/ k2-fsa/OmniVoice (⬇️ 2.39M/mo) https://lnkd.in/d9ZXv_qR A compact, fast TTS model built for real-time voice agent pipelines. 7/ Qwen/Qwen3-TTS-12Hz-1.7B (⬇️ 2.04M/mo) https://lnkd.in/dEtHA4CW Alibaba's multilingual TTS entry with custom voice support. 8/ coqui/XTTS-v2 (⬇️ 1.91M/mo) https://lnkd.in/dbYebgtc Voice cloning across 17 languages from a 6 second clip. 9/ fishaudio/s2-pro (⬇️ 440K/mo) https://lnkd.in/dFazFdKW A high-quality multilingual TTS model built for production voice apps. 10/ ai4bharat/indic-parler-tts (⬇️ 341K/mo) https://lnkd.in/dBZgZdhW Open TTS for 21 Indic languages, 69 voices, Apache-2.0. 11/ ai4bharat/indic-conformer-600m-multilingual (⬇️ 338K/mo) https://lnkd.in/dJf5txxr India's first open ASR suite covering all 22 scheduled languages. 12/ kenpath/svara-tts-v1 (⬇️ 123K/mo) https://lnkd.in/dArA84Up Multilingual Indic TTS for 19 languages, built on Orpheus, Apache-2.0. Three Indian models made this list purely on download volume, no separate category, no asterisk. That's the real signal for where Indic voice AI stands today. PS: I am building Unio - The Voice AI Community, it's a WhatsApp group, invite only. Want to get added? DM me.

    241 reactions · 16 commentsView
  • Vendors are quoting under ₹2 a minute in the same month TRAI named AI calls in its spam rules. Builders put real costs at ₹3-4 a minute before telephony. I'm watching a race to the bottom hit a compliance floor. TRAI's TCCCPR (Third Amendment) Regulations, 2026, notified September 18, classify AI voice calls as A2P: - Declare every CLI to your operator, or calls count as spam - 5+ flagged numbers, or 3 complaints on a flagged number, in 10 days triggers KYC checks and barring - Repeat offenders face disconnection, with flags shared across carriers A founder in our group is moving every client onto their own DLT & SIP trunks, and I get why. Shared infrastructure (platform-owned numbers) lets one client's bad campaign take every tenant down. Tenant isolation contains the blast radius, but only if the client is also the declared sender. DLT, consent logs and per-client trunks just pushed costs higher. Outbound Voice AI is moving from "who's cheapest" to "who's safest to put your number behind." Who takes the hit when a client's campaign gets flagged, you or them?

    133 reactions · 5 commentsView
  • "We are living in a dystopia in Voice AI right now. We are all building for a legacy market. We are building for banks." That was DHEEMANTH from Maya Research, on our panel on 16th. Then he asked the room how many of us actually talk to a voice AI for more than five minutes a day. This time I put founders from our own community on stage. Not people who work around TTS and STT, people who sit together and build the models themselves. You could hear that difference in every answer. Saurabh from Raya Voice AI, who runs over 10 million production calls, on why prosody breaks. You have to look at the actual architecture, not take an LLM as a backbone, put decoders and tokenizers on it, and call it a day. Aditya, who open sourced Svara and crossed a million downloads, on pricing. It is not really characters, it is idle time, because you pay for the GPU whether it is being used or not. I have attended a lot of offline events. This was the first time I saw builders pull out a diary and start writing. Eight to ten of them, notebooks and phones open, through the entire panel. 68 builders in the room, and more than 10 stood for the full session because we ran out of chairs. Hosted by Vijay P from Telnyx, who asked the questions nobody wants to answer. Thank you Speechmatics and Telnyx for backing this night. And a special thank you to Nikkitha and Parth from SuperBryn, who came through instantly with the location when we needed it. Full panel recording is live. Watch it here https://lnkd.in/d83HxmyU PS: I am building Unio - The Voice AI Community, it's a WhatsApp group, invite only. Want to get added? DM me.

    116 reactions · 4 commentsView

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