The ASR & NLI API stack outperforming OpenAI, Google, and Meta — now open to 99 early users. Real-time transcription, inference, and summarization. Runs on CPU, zero infra required. Join the waitlist and get free tokens to start building instantly.
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Maker
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Thanks for checking us out!
What makes our stack different:
✅ We’ve outperformed OpenAI, Google, Meta across ASR & NLI benchmarks
✅ Our models run fast on CPU — no GPU or infra required
✅ API-first, dev-friendly, tokenized access — easy to test, scale, and build on
✅ Already powering Samsung Health + U.S. gov systems
We’re proud to finally open this to other builders — if you’re working on voice agents, healthcare tools, support automation, or anything language-related, we’d love your feedback.
Launching in a week. Join our waitlist: https://tally.so/r/meG5RQ
Ask us anything — excited to build with you!
Just tried the new ASR stack and it's shockingly good. Real-time transcription very high in accuracy and speed
I’ve used OpenAI, Google, Meta this holds its own. Fast, accurate, and refreshingly easy to integrate.
As a backend enthusiast always exploring cutting-edge tech, Shunya Labs' speech intelligence stack immediately caught my attention and it absolutely delivers on its bold claims.
The Pingala V1 ASR model offers remarkable accuracy even in noisy conditions, and the choice between Verbatim and Enhanced modes shows thoughtful attention to real-world transcription needs. I’m genuinely excited to see upcoming TTS (B1) and Voice-to-Voice (A1) models evolve.
Absolutely! As developers, we need to focus on cutting costs and maximizing accuracy. This product is definitely worth keeping an eye on.
Tried the demo on their website. Clean interface and very nice experience. Even the demo worked smoothly and the best part is the ASR model is so accurate. Tried in multiple languages as well. All worked well. Worth giving it a try if you have a use case where ASR model is required.
