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.

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!

Had a great experince using the ASR model developed by their team - Pingala V1. I use it for converting my videos files into subtitles which I can edit into my videos before uploading to YT.

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.

Didn’t expect much, but Shunya Labs honestly surprised me. Fast, accurate voice transcription without any fancy setup. It handled multiple accents and languages way better than I expected. Definitely worth keeping an eye on.

Had a great experince using the ASR model developed by their team - Pingala V1. I use it for converting my videos files into subtitles which I can edit into my videos before uploading to YT.

Shunya Labs

ASR+NLI stack outperforming OpenAI, Google—open to builders

ASR+NLI stack outperforming OpenAI, Google—open to builders

Shunya Labs

ASR+NLI stack outperforming OpenAI, Google—open to builders

ASR+NLI stack outperforming OpenAI, Google—open to builders

Do you use Shunya Labs?

Do you use Shunya Labs?